Amazon.com, Inc.

États‑Unis d’Amérique

Retour au propriétaire

1-100 de 26 535 pour Amazon.com, Inc. et 16 filiales Trier par
Recheche Texte
Affiner par
Type PI
        Brevet 22 229
        Marque 4 306
Juridiction
        États-Unis 21 819
        International 1 814
        Canada 1 584
        Europe 1 318
Propriétaire / Filiale
Amazon Technologies, Inc. 26 042
Audible, Inc. 132
Twitch Interactive, Inc. 122
IMDb.com, Inc. 109
A9.com, Inc. 67
Voir plus
Date
Nouveautés (dernières 4 semaines) 145
2025 février (MACJ) 108
2025 janvier 176
2024 décembre 147
2024 novembre 121
Voir plus
Classe IPC
H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole 2 417
H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison 1 843
G06F 17/30 - Recherche documentaire; Structures de bases de données à cet effet 1 350
G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation 1 052
G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT] 983
Voir plus
Classe NICE
09 - Appareils et instruments scientifiques et électriques 2 166
35 - Publicité; Affaires commerciales 1 715
42 - Services scientifiques, technologiques et industriels, recherche et conception 1 710
41 - Éducation, divertissements, activités sportives et culturelles 1 469
38 - Services de télécommunications 1 073
Voir plus
Statut
En Instance 1 470
Enregistré / En vigueur 25 065
  1     2     3     ...     100        Prochaine page

1.

SYSTEMS AND METHODS FOR ROUTING CONTENT TO AN ASSOCIATED OUTPUT DEVICE

      
Numéro d'application 18944708
Statut En instance
Date de dépôt 2024-11-12
Date de la première publication 2025-02-27
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Jobanputra, Soniya
  • Typrin, Marcello
  • Trudell, Mallory

Abrégé

Devices and methods for routing content are provided herein. In some embodiments, a method for routing content include receiving audio data representing a command from a first electronic device, determining content that is associated with the command, sending responsive audio data to the first electronic device, and sending instructions to the second electronic device to output the content associated with the command. In some embodiments, a method for routing contents includes determining a state of the second electronic device and sending instructions to output the content to a selected one of the first and second electronic devices based on the state of the second electronic device.

Classes IPC  ?

  • H04N 21/439 - Traitement de flux audio élémentaires
  • G06F 3/16 - Entrée acoustiqueSortie acoustique
  • G06F 16/332 - Formulation de requêtes
  • G06F 40/35 - Représentation du discours ou du dialogue
  • G10L 15/26 - Systèmes de synthèse de texte à partir de la parole
  • G10L 25/51 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier pour comparaison ou différentiation
  • H04N 21/258 - Gestion de données liées aux clients ou aux utilisateurs finaux, p. ex. gestion des capacités des clients, préférences ou données démographiques des utilisateurs, traitement des multiples préférences des utilisateurs finaux pour générer des données collaboratives
  • H04N 21/4415 - Acquisition de l'identification d'un utilisateur final utilisant les caractéristiques biométriques de l'utilisateur, p. ex. par reconnaissance de la voix ou balayage d'empreintes digitales
  • H04N 21/45 - Opérations de gestion réalisées par le client pour faciliter la réception de contenu ou l'interaction avec le contenu, ou pour l'administration des données liées à l'utilisateur final ou au dispositif client lui-même, p. ex. apprentissage des préférences d'utilisateurs pour recommander des films ou résolution de conflits d'ordonnancement
  • H04N 21/475 - Interface pour utilisateurs finaux pour acquérir des données d'utilisateurs finaux, p. ex. numéro d'identification personnel [PIN] ou données de préférences
  • H04N 21/835 - Génération de données de protection, p. ex. certificats
  • H04N 21/858 - Création de liens entre données et contenu, p. ex. en liant une URL à un objet vidéo en créant une zone active ("hotspot")

2.

MULTICOMPONENT CHEMICAL COMPOSITION OF A PEPTIDE-BASED NEOANTIGEN VACCINE

      
Numéro d'application 18924824
Statut En instance
Date de dépôt 2024-10-23
Date de la première publication 2025-02-27
Propriétaire AMAZON TECHNOLOGIES, INC (USA)
Inventeur(s)
  • Schmitz, Frank Wilhelm
  • Heckerman, David
  • Price, Layne Christopher
  • Heit, Antje

Abrégé

Provided herein are immunogenic compositions comprising tumor-specific neoantigen long peptides, tumor-specific neoantigen short peptides, and adjuvant, optionally a helper peptide, and optionally a tumor-specific peptide. The disclosure also provides methods of using these immunogenic compositions for treating cancer.

Classes IPC  ?

  • A61K 39/00 - Préparations médicinales contenant des antigènes ou des anticorps
  • A61K 39/39 - Préparations médicinales contenant des antigènes ou des anticorps caractérisées par les additifs immunostimulants, p. ex. par les adjuvants chimiques
  • A61K 45/06 - Mélanges d'ingrédients actifs sans caractérisation chimique, p. ex. composés antiphlogistiques et pour le cœur

3.

Usage-based device naming and grouping

      
Numéro d'application 18375192
Numéro de brevet 12237940
Statut Délivré - en vigueur
Date de dépôt 2023-09-29
Date de la première publication 2025-02-25
Date d'octroi 2025-02-25
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Basak, Aniruddha
  • Liu, Yu
  • Strajan, George
  • Iyer, Hersh Sridhar
  • Hillenmeyer, Sara Parker
  • Welbourne, William Evan

Abrégé

Systems and methods for usage-based device naming and grouping are disclosed. For example, trigger events that indicate when a device should be renamed, added to a device group, and/or added to a routine may be determined. Usage data representing usage of the device may be received and utilized to determine if a trigger event occurs. When a trigger event occurs, a recommendation for renaming, grouping, etc. may be determined and sent to a user device. Upon acceptance of the recommendation, the device may be renamed, grouped, and/or added to a routine.

Classes IPC  ?

  • H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
  • H04L 12/28 - Réseaux de données à commutation caractérisés par la configuration des liaisons, p. ex. réseaux locaux [LAN Local Area Networks] ou réseaux étendus [WAN Wide Area Networks]

4.

Extending measured boot for secure link establishment

      
Numéro d'application 18323868
Numéro de brevet 12235967
Statut Délivré - en vigueur
Date de dépôt 2023-05-25
Date de la première publication 2025-02-25
Date d'octroi 2025-02-25
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Cohen, Ori
  • Wasserstrom, Barak
  • Sinton, Andrew Robert

Abrégé

A modified measured boot approach is utilized for establishing a secure communication link between two devices. Each device may execute a respective boot process until the device reaches the stage responsible for establishing the communication link with the other device. Each device may exchange its respective self-signed certificate and extend its certificate chain with the self-signed certificate received from the other device. A secure link can be established using the public key of the other device as a based key for a key exchange protocol.

Classes IPC  ?

  • H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
  • G06F 21/57 - Certification ou préservation de plates-formes informatiques fiables, p. ex. démarrages ou arrêts sécurisés, suivis de version, contrôles de logiciel système, mises à jour sécurisées ou évaluation de vulnérabilité
  • H04L 9/30 - Clé publique, c.-à-d. l'algorithme de chiffrement étant impossible à inverser par ordinateur et les clés de chiffrement des utilisateurs n'exigeant pas le secret
  • H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système

5.

Configurable address decoder

      
Numéro d'application 17643572
Numéro de brevet 12236260
Statut Délivré - en vigueur
Date de dépôt 2021-12-09
Date de la première publication 2025-02-25
Date d'octroi 2025-02-25
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Saad, Dan
  • Nakibly, Guy
  • Vaskevich, Lev
  • Bonomo, Aviv

Abrégé

An address decoder for a system is disclosed that can be used for different source nodes in the system. Each address decoder can be configured to perform a plurality of decode methods that can be customized for each source node. A first decode method can be used to determine a target node from a plurality of target nodes based on a destination address of the transaction. A second decode method can be used to assign a dedicated target node as the target node irrespective of the destination address of the transaction. The second decode method can be used to route the transaction to the dedicated target node for testing and verification operations.

Classes IPC  ?

  • G06F 9/46 - Dispositions pour la multiprogrammation
  • G06F 9/54 - Communication interprogramme

6.

Reserving increased performance of burstable instances for a limited time period

      
Numéro d'application 17304334
Numéro de brevet 12236254
Statut Délivré - en vigueur
Date de dépôt 2021-06-18
Date de la première publication 2025-02-25
Date d'octroi 2025-02-25
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Gadalin, Alexey
  • Bestavros, Alexander Gregory
  • Faust, Ethan John
  • Valter, Anton
  • Liu, Yuxuan

Abrégé

This disclosure describes techniques for increasing the baseline performance of a burstable instance to an increased performance level for a limited time period. For example, a user may schedule a time period which the burstable instance has access to 100% of a CPU, instead of competing with other burstable instances even during periods of bursting as in prior techniques. In some cases, the user uses credits to reserve the time periods at which the increased performance level is requested. After receiving the reservation, a resource system selects computing resources to host the burstable instance such that the burstable instance, can operate at the requested increased performance level. After the time period has ended, the burstable instance may return to the baseline performance level.

Classes IPC  ?

  • G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
  • G06F 9/48 - Lancement de programmes Commutation de programmes, p. ex. par interruption
  • G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]
  • G06F 11/32 - Surveillance du fonctionnement avec indication visuelle du fonctionnement de la machine
  • G06F 11/34 - Enregistrement ou évaluation statistique de l'activité du calculateur, p. ex. des interruptions ou des opérations d'entrée–sortie

7.

Transparent migration of radio-based applications

      
Numéro d'application 17364788
Numéro de brevet 12236248
Statut Délivré - en vigueur
Date de dépôt 2021-06-30
Date de la première publication 2025-02-25
Date d'octroi 2025-02-25
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Gupta, Diwakar
  • Wojtowicz, Benjamin
  • Shevade, Upendra Bhalchandra
  • Yang, Ximeng Simon
  • Parulkar, Ishwardutt

Abrégé

A portion of a radio-based application (RBA) is executed at a first runtime environment (RTE) launched at a server. The first RTE includes a software program for processing messages between a pair of layers of the RBA. In response to determining that the portion of the RBA is to be executed at a second RTE, at least a subset of state information pertaining to the inter-layer messages is transferred to the second RTE without pausing the RBA. After the state information is transferred, the portion of the RBA is run at the second RTE.

Classes IPC  ?

8.

Autonomous navigation correction system

      
Numéro d'application 17215594
Numéro de brevet 12235651
Statut Délivré - en vigueur
Date de dépôt 2021-03-29
Date de la première publication 2025-02-25
Date d'octroi 2025-02-25
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Gueguen, Lionel
  • Kadlec, Ben James
  • Dash, Denver H.
  • Steedly, Drew

Abrégé

Systems, methods, and computer-readable media are disclosed for determining obstacle data based on sensor data such as greyscale data and depth data. Based on the obstacle data navigation data may be determined and used by an autonomous vehicle to navigate an environment such as a warehouse or storage facility. The obstacle data may be determined by determining three-dimensional representations of the greyscale data and the depth data and segmented and combining or fusing the three-dimensional representations of the greyscale data and the depth data. The system used to determine the obstacle data may be trained to avoid false obstructions and omitted obstructions.

Classes IPC  ?

  • G05D 11/00 - Commande du rapport des débits
  • G05D 1/00 - Commande de la position, du cap, de l'altitude ou de l'attitude des véhicules terrestres, aquatiques, aériens ou spatiaux, p. ex. utilisant des pilotes automatiques
  • G06N 20/00 - Apprentissage automatique
  • G06T 7/50 - Récupération de la profondeur ou de la forme
  • G06T 7/90 - Détermination de caractéristiques de couleur

9.

Associating an event with an agent

      
Numéro d'application 18302723
Numéro de brevet 12236715
Statut Délivré - en vigueur
Date de dépôt 2023-04-18
Date de la première publication 2025-02-25
Date d'octroi 2025-02-25
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s) Hua, Gang

Abrégé

Described are systems and methods for determining an agent that performed an event within a materials handling facility. A series of overhead images that include representations of the event location and one or more agents are processed to determine a motion or movement of the agent over a period of time. For example, a motion model representative of a motion of the agent over a period of time is generated from the images. A distance between the motion model and the event location is also determined. An association between the agent and the event may be determined based on the motion model and the distance between the motion model and the event location.

Classes IPC  ?

  • G06V 40/20 - Mouvements ou comportement, p. ex. reconnaissance des gestes
  • G06T 7/00 - Analyse d'image
  • G06T 7/246 - Analyse du mouvement utilisant des procédés basés sur les caractéristiques, p. ex. le suivi des coins ou des segments
  • G06T 7/292 - Suivi à plusieurs caméras
  • G06T 7/33 - Détermination des paramètres de transformation pour l'alignement des images, c.-à-d. recalage des images utilisant des procédés basés sur les caractéristiques
  • G06T 7/73 - Détermination de la position ou de l'orientation des objets ou des caméras utilisant des procédés basés sur les caractéristiques
  • G06V 10/75 - Organisation de procédés de l’appariement, p. ex. comparaisons simultanées ou séquentielles des caractéristiques d’images ou de vidéosApproches-approximative-fine, p. ex. approches multi-échellesAppariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques utilisant l’analyse de contexteSélection des dictionnaires
  • G06V 10/46 - Descripteurs pour la forme, descripteurs liés au contour ou aux points, p. ex. transformation de caractéristiques visuelles invariante à l’échelle [SIFT] ou sacs de mots [BoW]Caractéristiques régionales saillantes

10.

Accessory for a voice-controlled device

      
Numéro d'application 18380990
Numéro de brevet 12236955
Statut Délivré - en vigueur
Date de dépôt 2023-10-17
Date de la première publication 2025-02-25
Date d'octroi 2025-02-25
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Adams, Zoe
  • Klein, Pete
  • Deller, Derick
  • Guarniere, Michael John
  • Chen, Alina
  • Naik, Apoorv
  • Johnson, Jeremy Daniel
  • Appleman, Aslan

Abrégé

This disclosure describes techniques and systems for encoding instructions in audio data that, when output on a speaker of a first device in an environment, cause a second device to output content in the environment. In some instances, the audio data has a frequency that is inaudible to users in the environment. Thus, the first device is able to cause the second device to output the content without users in the environment hearing the instructions. In some instances, the first device also outputs content, and the content output by the second device is played at an offset relative to a position of the content output by the first device.

Classes IPC  ?

  • G10L 15/26 - Systèmes de synthèse de texte à partir de la parole
  • G06F 3/16 - Entrée acoustiqueSortie acoustique
  • G06F 16/332 - Formulation de requêtes
  • G06F 16/632 - Formulation de requêtes
  • G10L 15/02 - Extraction de caractéristiques pour la reconnaissance de la paroleSélection d'unités de reconnaissance
  • G10L 15/07 - Adaptation au locuteur
  • G10L 15/08 - Classement ou recherche de la parole
  • G10L 15/14 - Classement ou recherche de la parole utilisant des modèles statistiques, p. ex. des modèles de Markov cachés [HMM]
  • G10L 15/16 - Classement ou recherche de la parole utilisant des réseaux neuronaux artificiels
  • G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p. ex. dialogue homme-machine
  • G10L 17/22 - Procédures interactivesInterfaces homme-machine
  • G10L 25/78 - Détection de la présence ou de l’absence de signaux de voix
  • H04M 3/51 - Dispositions centralisées de réponse aux appels demandant l'intervention d'un opérateur
  • G06F 16/3329 - Formulation de requêtes en langage naturel

11.

Utilizing sensor data for automated user identification

      
Numéro d'application 17706107
Numéro de brevet 12236709
Statut Délivré - en vigueur
Date de dépôt 2022-03-28
Date de la première publication 2025-02-25
Date d'octroi 2025-02-25
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Aggarwal, Manoj
  • Garfield, Jason
  • Smith, Korwin Jon
  • Williams, Jordan Tyler

Abrégé

This disclosure describes techniques for identifying users that are enrolled for use of a user-recognition system and updating enrollment data of these users over time. To enroll in the user-recognition system, the user may initially scan his or her palm. The resulting image data may later be used when the user requests to be identified by the system by again scanning his or her palm. However, because the characteristics of user palms may change over the time, the user-recognition system may continue to build more and more data for use in recognizing the user, in addition to removing older data that may no longer accurately represent current characteristics of respective user palms.

Classes IPC  ?

  • G06V 40/13 - Capteurs à cet effet
  • G06F 18/22 - Critères d'appariement, p. ex. mesures de proximité
  • G06V 40/12 - Empreintes digitales ou palmaires

12.

Using a certificate-based protocol to enforce compliance of devices with specifications

      
Numéro d'application 16588980
Numéro de brevet 12238085
Statut Délivré - en vigueur
Date de dépôt 2019-09-30
Date de la première publication 2025-02-25
Date d'octroi 2025-02-25
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Yancey, Justin Paul
  • Drooger, Jack A.
  • Dey, Sanjay

Abrégé

A device management service may enforce compliance of remote devices with device specifications by disabling or enabling use of client certificates by applications installed on the devices. The device management service receives configuration data from an agent installed on the remote device. If the device management service determines that the device is no longer compliant with specifications for the device, then the device management service may prevent subsequent use of client certificate(s) by applications on the device to establish certificate-based connections. For example, the device management service may disable or revoke a client certificate or may instruct the device to disable or remove the client certificate. If the device becomes compliant at a subsequent time, then the device management service may enable the client certificate or cause a new client certificate to be sent to the device.

Classes IPC  ?

  • H04L 9/40 - Protocoles réseaux de sécurité

13.

Determining threats from anomalous events based on artificial intelligence models

      
Numéro d'application 17544538
Numéro de brevet 12238119
Statut Délivré - en vigueur
Date de dépôt 2021-12-07
Date de la première publication 2025-02-25
Date d'octroi 2025-02-25
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Chivu, Radu Stefan
  • Moor, Daniel Lee
  • Rana, Saad Ali

Abrégé

Threats can be determined from anomalous events based on artificial intelligence (AI) models. For example, a computer system stores, based on an output of a first AI model, first information indicating that a first event cluster of the first event clusters is associated with a threat classification and that a second event cluster of the first event clusters is associated with a non-threat classification. The computer system receives a first dataset representing first events and generate a first input to the first AI model based on the first dataset. The computer system determines, based on the first input to the first AI model, second event clusters and that a third event cluster of the second event clusters has no correspondence in the first event clusters and is associated with an unknown classification. The computer system generates second information indicating that the third event cluster is associated with the unknown classification.

Classes IPC  ?

  • H04L 9/40 - Protocoles réseaux de sécurité
  • H04L 41/16 - Dispositions pour la maintenance, l’administration ou la gestion des réseaux de commutation de données, p. ex. des réseaux de commutation de paquets en utilisant l'apprentissage automatique ou l'intelligence artificielle

14.

Active network monitoring

      
Numéro d'application 17546969
Numéro de brevet 12237987
Statut Délivré - en vigueur
Date de dépôt 2021-12-09
Date de la première publication 2025-02-25
Date d'octroi 2025-02-25
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Tcarevskii, Andrei
  • Gomez, Ezequiel Lara
  • Desmarets, Damien

Abrégé

In networks, some communication links may be provided as part of a network underlay to reach outer networks/regions. Technologies are disclosed for monitoring/analyzing targeted networks using probe packets sent from outside of the targeted networks. The probe packets are configured to include an outer IP packet encapsulating an inner UDP packet, where the inner UDP packet indicates a source of the probe (e.g., an agent) as both the source and destination address. Time to Live (TTL) values for the inner and outer packets are controlled to propagate the packet through the network using the underlay to access the outer network/regions.

Classes IPC  ?

  • H04L 43/10 - Surveillance active, p. ex. battement de cœur, utilitaire Ping ou trace-route
  • H04L 43/0811 - Surveillance ou test en fonction de métriques spécifiques, p. ex. la qualité du service [QoS], la consommation d’énergie ou les paramètres environnementaux en vérifiant la disponibilité en vérifiant la connectivité
  • H04L 45/745 - Recherche de table d'adressesFiltrage d'adresses

15.

Detecting and confirming interactions by proximity and video

      
Numéro d'application 16454805
Numéro de brevet 12236628
Statut Délivré - en vigueur
Date de dépôt 2019-06-27
Date de la première publication 2025-02-25
Date d'octroi 2025-02-25
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Karuppusamy, Saranya
  • Yan, Ao
  • Dinh, Liem
  • Zhou, Peiran
  • Iyer, Sabarishkumar
  • Ahmed, Waqas
  • Causse, Helene
  • Guan, Danny

Abrégé

Product spaces for containers of non-discretized items are defined by sets of points in three-dimensional space. When a customer breaches or contacts a product space established for a container of the non-discretized items, video feeds representing the product space are displayed to an associate in a web page or another user interface. By interacting with the user interface, the associate may view the video feeds and make a determination as to whether the customer received any of the non-discretized items from the container, and to confirm an identity of the customer accordingly.

Classes IPC  ?

  • G06T 7/292 - Suivi à plusieurs caméras
  • G06T 7/70 - Détermination de la position ou de l'orientation des objets ou des caméras

16.

Light activated access control techniques

      
Numéro d'application 17853118
Numéro de brevet 12235632
Statut Délivré - en vigueur
Date de dépôt 2022-06-29
Date de la première publication 2025-02-25
Date d'octroi 2025-02-25
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Kaufman, Seth R
  • Kavadia, Arnav
  • Hixon, Nathaniel William
  • Kapadia, Monish Narendra

Abrégé

Techniques for performing automated device activation and managing access to a workspace are described herein. While operating in an activated state, a user device (e.g., a wearable device) may be configured to modify movements of various mobile components (e.g., mobile drive units, robotic arms, etc.) of the workspace by emitting signals that cause the mobile components to stop or reduce speed when in proximity of the user device. An access controller device (ACD) may be used to restrict and/or allow access to the workspace and to perform operations for activating a user device that is attempting access. The ACD may receive light emissions from the user device that may be used to initiate a process for activating the user device. When the ACD receives an indication that the user device is operating in the activated state, the ACD may execute operations for enabling access to the workspace.

Classes IPC  ?

  • G05B 19/418 - Commande totale d'usine, c.-à-d. commande centralisée de plusieurs machines, p. ex. commande numérique directe ou distribuée [DNC], systèmes d'ateliers flexibles [FMS], systèmes de fabrication intégrés [IMS], productique [CIM]
  • G07C 9/10 - Barrières mobiles avec moyens d’enregistrement
  • G07C 9/22 - Enregistrement de l’entrée ou de la sortie d'une entité isolée comportant l’utilisation d’un laissez-passer combiné à une vérification d’identité du titulaire du laissez-passer
  • G07C 9/27 - Enregistrement de l’entrée ou de la sortie d'une entité isolée comportant l’utilisation d’un laissez-passer une station centrale gérant l’enregistrement

17.

Authenticating a user profile with devices

      
Numéro d'application 17901269
Numéro de brevet 12236957
Statut Délivré - en vigueur
Date de dépôt 2022-09-01
Date de la première publication 2025-02-25
Date d'octroi 2025-02-25
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Peng, Lizhen
  • Upadhyay, Alok
  • Cline, Jason
  • Gandhe, Ankur

Abrégé

Systems and methods for presence ground truth approximation and utilization are disclosed. For example, a system detects the presence of a predefined subject, such as a person associated with a given user profile, and/or determines that authentication criteria for performing an action in association with the user profile has been satisfied. A period of time to associate data is determined, and data of one or more data types is labeled as being associated with the speaker identification event. That data may be formatted and input into one or more models to train those models to more accurately detect presence and/or determine whether authentication of a user profile should succeed.

Classes IPC  ?

  • G10L 17/00 - Techniques d'identification ou de vérification du locuteur
  • G06N 20/00 - Apprentissage automatique
  • G10L 17/02 - Opérations de prétraitement, p. ex. sélection de segmentReprésentation ou modélisation de motifs, p. ex. fondée sur l’analyse linéaire discriminante [LDA] ou les composantes principalesSélection ou extraction des caractéristiques
  • G10L 17/12 - Normalisation du score
  • G10L 17/18 - Réseaux neuronaux artificielsApproches connexionnistes
  • G10L 17/24 - Procédures interactivesInterfaces homme-machine l’utilisateur étant incité à prononcer un mot de passe ou une phrase prédéfinie
  • H04L 67/54 - Gestion de la présence, p. ex. surveillance ou enregistrement pour la réception des informations de connexion des utilisateurs ou état de connexion des utilisateurs
  • H04W 12/63 - Sécurité dépendant du contexte dépendant de la localisationSécurité dépendant du contexte dépendant de la proximité

18.

Interacting with a virtual assistant to receive updates

      
Numéro d'application 18385870
Numéro de brevet 12236953
Statut Délivré - en vigueur
Date de dépôt 2023-10-31
Date de la première publication 2025-02-25
Date d'octroi 2025-02-25
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Srivatsa, Sunitha Kalkunte
  • Aharon, Maayan
  • Nair, Aakarsh
  • Venkataraman, Nithya
  • Bijani, Lohit

Abrégé

Technologies are disclosed for interacting with a virtual assistant to request updates associated with one or more events and/or perform actions. According to some examples, a user may use their voice to interact with a virtual assistant to receive updates relating to events occurring during a certain period of time. For example, a user may request an update associated with one or more events occurring that day. The system may access data sources (e.g., calendar services, email services, etc.) to obtain data associated with the events, tag the events according to one or more conditions indicated by the data, and/or rank the events according to the tags. In addition, to resolve conditions associated with the events, the virtual assistant may also include options in the update to perform certain actions and/or to provide response data. The virtual assistant may generate the update and audibly provide the update to the user.

Classes IPC  ?

  • G06Q 10/109 - Gestion du temps, p. ex. agendas, rappels, réunions ou décompte de temps
  • G06Q 10/1093 - Ordonnancement basé sur un agenda pour des personnes ou des groupes
  • G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p. ex. dialogue homme-machine
  • G10L 25/54 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier pour comparaison ou différentiation pour la recherche
  • G10L 15/26 - Systèmes de synthèse de texte à partir de la parole

19.

Enhanced generation and selection of video clips from still frame images

      
Numéro d'application 18400569
Numéro de brevet 12238390
Statut Délivré - en vigueur
Date de dépôt 2023-12-29
Date de la première publication 2025-02-25
Date d'octroi 2025-02-25
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Pundi Ananth, Shilpa
  • Sree Harsha, Sai
  • Ashok Kumar, Pooja
  • Kanungo, Yashal Shakti
  • Negi, Sumit
  • Gannon, Brittney C.
  • Johnson, Lauren K.

Abrégé

Devices, systems, and methods are provided for generating and selecting video clips for inclusion in video sequences based on still frame images. A method may include encoding first embeddings for a first video including first images of an item at a first scene, the first embeddings indicative of features of the first scene; encoding second embeddings for a second video including second images of the item at a second scene, the second embeddings indicative of features of the second scene; encoding third embeddings for the first video, the third embeddings indicative of features of a first type of camera shot used for the first images; encoding fourth embeddings for the second video, the fourth embeddings indicative of features of a second type of camera shot used for the second images; and generating, based on the first, second, third, and fourth embeddings, a video sequence for the item.

Classes IPC  ?

  • H04N 21/218 - Source du contenu audio ou vidéo, p. ex. réseaux de disques locaux
  • G06V 10/74 - Appariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques
  • H04N 5/262 - Circuits de studio, p. ex. pour mélanger, commuter, changer le caractère de l'image, pour d'autres effets spéciaux
  • H04N 19/46 - Inclusion d’information supplémentaire dans le signal vidéo pendant le processus de compression
  • H04N 21/222 - Serveurs secondaires, p. ex. serveur proxy ou tête de réseau de télévision par câble
  • H04N 21/235 - Traitement de données additionnelles, p. ex. brouillage de données additionnelles ou traitement de descripteurs de contenu
  • H04N 21/488 - Services de données, p. ex. téléscripteur d'actualités
  • H04N 21/6379 - Signaux de commande émis par le client et dirigés vers les éléments du serveur ou du réseau vers le serveur vers le codeur
  • H04N 21/81 - Composants mono média du contenu

20.

Troubleshooting policy-based permissions

      
Numéro d'application 17547659
Numéro de brevet 12238106
Statut Délivré - en vigueur
Date de dépôt 2021-12-10
Date de la première publication 2025-02-25
Date d'octroi 2025-02-25
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Strong, Homer
  • Klimosova, Lucie

Abrégé

One or more indications may be received of a decision to deny an attempted access of a computing resource by an identity. A plurality of relevant policies may be determined whose permissions are evaluated as inputs to the decision to deny. One or more denial-related policies of the relevant policies may be determined that are associated with at least one of explicitly denying or implicitly denying the attempted access. One or more denial indications may be provided of the one or more denial-related policies. The one or more denial indications may include at least one explicit deny indication of at least one of the one or more denial-related policies that explicitly denies the attempted access. The one or more denial indications may also include at least one implicit deny indication of at least one of the one or more denial-related policies that implicitly denies the attempted access.

Classes IPC  ?

  • H04L 29/06 - Commande de la communication; Traitement de la communication caractérisés par un protocole
  • H04L 9/40 - Protocoles réseaux de sécurité

21.

Enhanced dynamic last-mile modeling for delivery assistants

      
Numéro d'application 18110265
Numéro de brevet 12236374
Statut Délivré - en vigueur
Date de dépôt 2023-02-15
Date de la première publication 2025-02-25
Date d'octroi 2025-02-25
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Malshe, Rohit
  • Yedidsion, Liron David
  • Ye, Jin
  • Gupta, Dipal Patel

Abrégé

A method of optimizing a delivery route for a delivery vehicle driver and a delivery assistant includes: identifying a delivery route for a delivery vehicle; determining, for each of the packages to be delivered using the delivery route, a first delivery time for a delivery vehicle driver of the delivery vehicle to deliver the respective package without the delivery assistant, a second delivery time for a delivery assistant of the delivery vehicle to deliver the respective package without the delivery vehicle driver, and a third delivery time for both the delivery assistant and the delivery vehicle driver to deliver the respective package; determining minimum times needed by the delivery vehicle driver and the delivery assistant to deliver the packages using the delivery route; and determining that a minimum of the estimated total delivery times corresponds to a first subset and a second subset of the packages.

Classes IPC  ?

  • G06Q 10/047 - Optimisation des itinéraires ou des chemins, p. ex. problème du voyageur de commerce
  • G01C 21/34 - Recherche d'itinéraireGuidage en matière d'itinéraire
  • G06Q 10/083 - Expédition

22.

Camera with mount

      
Numéro d'application 29939749
Numéro de brevet D1064033
Statut Délivré - en vigueur
Date de dépôt 2024-04-29
Date de la première publication 2025-02-25
Date d'octroi 2025-02-25
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Lu, Wen-Yo
  • England, Matthew J.
  • Liu, Chia-Song
  • Cheng, Tsung-Kai
  • Cheng, Ming-Cheng
  • Krasnoshchok, Oleksii
  • Shekolian, Oleksii
  • Aafanasov, Sergiy
  • Donskoi, Mikhail
  • Chan, Chia-Wei

23.

AMAZON AIR CARGO

      
Numéro de série 99054172
Statut En instance
Date de dépôt 2025-02-24
Propriétaire Amazon Technologies, Inc. ()
Classes de Nice  ?
  • 35 - Publicité; Affaires commerciales
  • 09 - Appareils et instruments scientifiques et électriques
  • 39 - Services de transport, emballage et entreposage; organisation de voyages
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Advertising and marketing; business management services; business consulting services; business administration services; business management of transportation, shipping, and delivery services and vehicles for others; business consultancy and advisory services in the field of transportation, shipping, and delivery; transportation, shipping, and delivery logistics management services; arranging for pick-up, transportation, delivery and storage of documents, packages, and other goods by land and air; business data analysis; business management services, namely, supply chain logistics, reverse logistics, and management of shipments and returned shipments; logistics management in the field of shipping, returning, and exchanging consumer and wholesale products; freight management services in the nature of shipment processing, facilitating the exchange of shipping documents and invoices, and tracking documents, packages and freight over computer networks, intranets and the internet for business purposes; computerized tracking of packages and goods in transit; transportation logistics services, namely, planning and scheduling shipments for users of transportation services; monitoring package shipments and deliveries for business purposes; computerized tracking and tracing of packages in transit to ensure on-time delivery for business purposes; providing electronic tracking of freight information to others for business administration purposes; transportation logistics services, namely, arranging the transportation of goods for others; computerized tracking of packages, atmosphere, temperature, humidity, movement, speed, and location of shipped packages; logistics management in the field of transportation and delivery; management assistance services in the field of transportation and delivery; transportation network management solution services; customs clearance services. Downloadable software for scheduling, tracking, and managing the transport of goods; Downloadable software for scheduling shipping and deliveries; Downloadable software for analyzing and reporting data relating to shipments; Downloadable software for estimating and facilitating payment of shipping costs, coordinating shipment booking and pickup, tracking shipments, resolving shipping incidents, customs documentation management, and facilitating shipment payments and returns; Downloadable software for shipment processing; Downloadable software for tracking and providing real-time information to commercial shipping customers about atmosphere, temperature, humidity, movement, speed, and location of their shipped packages and goods during transit and delivery; Downloadable software for creating reports, charts and graphs; downloadable application programming interface (API) software. Air transport; delivery of goods; locating and tracking of shipments for transportation purposes; shipping, delivery, and storage of goods; storage of goods; packaging of goods; parcel delivery; providing information relating to storage services; rental of storage containers; rental of storage lockers; rental of warehouses; transportation logistics; air freight shipping services; providing an on-line computer database in the field of air transportation; providing a website featuring information in the field of air transportation; Supply chain logistics and reverse logistics services, namely, storage, transportation and delivery of goods for others by air or land; transport of goods; goods warehousing; merchandise packaging for others; courier services; coordinating transportation, shipping, and delivery services of parcel containers and goods of others; providing transportation, shipping, and delivery information; providing transportation, shipping, and delivery consultancy and advisory services; vehicle rental; truck rental; packaging goods for shipment; packaging of articles for transport; delivery services, namely, shipping and delivery of general consumer goods; pick-up, transportation and delivery of documents, packages, and other goods via land and air; providing real-time information to customers about packages in transit. Providing on-line non-downloadable software for scheduling, tracking, and managing the transport of goods; providing on-line non-downloadable software for scheduling shipping and deliveries; providing on-line non-downloadable software to process shipping transactions for documents, packages, and other goods; providing on-line non-downloadable software for analyzing and reporting data relating to shipments; providing on-line non-downloadable software for estimating and facilitating payment of shipping costs, coordinating shipment booking and pickup, tracking shipments, resolving shipping incidents, customs documentation management, and facilitating shipment payments and returns; providing on-line non-downloadable software for shipment processing; providing on-line non-downloadable software for tracking and providing real-time information to commercial shipping customers about atmosphere, temperature, humidity, movement, speed, and location of their shipped packages and goods during transit and delivery; providing on-line non-downloadable software for creating reports, charts and graphs; Software as a service (SAAS) services featuring software for scheduling, tracking, and managing the transport of goods; software as a service (SAAS) services featuring software for scheduling shipping and deliveries; software as a service (SAAS) services featuring software for analyzing and reporting data relating to shipments; software as a service (SAAS) services featuring software for estimating and facilitating payment of shipping costs, coordinating shipment booking and pickup, tracking shipments, resolving shipping incidents, customs documentation management, and facilitating shipment payments and returns; software as a service (SAAS) services featuring software for shipment processing; software as a service (SAAS) services featuring software for tracking and providing real-time information to commercial shipping customers about atmosphere, temperature, humidity, movement, speed, and location of their shipped packages and good during transit and delivery; software as a service (SAAS) services featuring software for creating reports, charts and graphs; Platform as a service (PAAS) featuring computer software platforms for scheduling, tracking, and managing the transport of goods; Platform as a service (PAAS) featuring computer software platforms for scheduling shipping and deliveries; providing on-line non-downloadable software to process shipping transactions for documents, packages, packages and other goods; Platform as a service (PAAS) featuring computer software platforms for analyzing and reporting data relating to shipments; Platform as a service (PAAS) featuring computer software platforms for estimating and facilitating payment of shipping costs, coordinating shipment booking and pickup, tracking shipments, resolving shipping incidents, customs documentation management, and facilitating shipment payments and returns; Platform as a service (PAAS) featuring computer software platforms for shipment processing; Platform as a service (PAAS) featuring computer software platforms for tracking and providing real-time information to commercial shipping customers about atmosphere, temperature, humidity, movement, speed, and location of their shipped packages and goods during transit and delivery; Platform as a service (PAAS) featuring computer software platforms for creating reports, charts and graphs; Application service provider featuring application programming interface (API) software

24.

amazon air cargo

      
Numéro d'application 019146429
Statut En instance
Date de dépôt 2025-02-21
Propriétaire Amazon Technologies, Inc. (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 35 - Publicité; Affaires commerciales
  • 39 - Services de transport, emballage et entreposage; organisation de voyages
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Downloadable software for scheduling, tracking, and managing the transport of goods; Downloadable software for scheduling shipping and deliveries; providing on-line non-downloadable software to process shipping transactions for documents, packages, and other goods; Downloadable software for analyzing and reporting data relating to shipments; Downloadable software for estimating and facilitating payment of shipping costs, coordinating shipment booking and pickup, tracking shipments, resolving shipping incidents, customs documentation management, and facilitating shipment payments and returns; Downloadable software for shipment processing; Downloadable software for tracking and providing real-time information to commercial shipping customers about atmosphere, temperature, humidity, movement, speed, and location of their shipped packages and goods during transit and delivery; Downloadable software for creating reports, charts and graphs; downloadable application programming interface (API) software. Advertising and marketing; business management services; business consulting services; business administration services; business management of transportation, shipping, and delivery services and vehicles for others; business consultancy and advisory services in the field of transportation, shipping, and delivery; transportation, shipping, and delivery logistics management services; arranging for pick-up, transportation, delivery and storage of documents, packages, and other goods by land and air; business data analysis; business management services, namely, supply chain logistics, reverse logistics, and management of shipments and returned shipments; logistics management in the field of shipping, returning, and exchanging consumer and wholesale products; freight management services in the nature of shipment processing, facilitating the exchange of shipping documents and invoices, and tracking documents, packages and freight over computer networks, intranets and the internet for business purposes; computerized tracking of packages and goods in transit; transportation logistics services, namely, planning and scheduling shipments for users of transportation services; monitoring package shipments and deliveries for business purposes; computerized tracking and tracing of packages in transit to ensure on-time delivery for business purposes; providing electronic tracking of freight information to others for business administration purposes; transportation logistics services, namely, arranging the transportation of goods for others; computerized tracking of packages, atmosphere, temperature, humidity, movement, speed, and location of shipped packages; logistics management in the field of transportation and delivery; management assistance services in the field of transportation and delivery; transportation network management solution services; customs clearance services. Air transport; delivery of goods; locating and tracking of shipments for transportation purposes; shipping, delivery, and storage of goods; storage of goods; packaging of goods; parcel delivery; providing information relating to storage services; rental of storage containers; rental of storage lockers; rental of warehouses; transportation logistics; air freight shipping services; providing an on-line computer database in the field of air transportation; providing a website featuring information in the field of air transportation; Supply chain logistics and reverse logistics services, namely, storage, transportation and delivery of goods for others by air or land; transport of goods; goods warehousing; merchandise packaging for others; courier services; coordinating transportation, shipping, and delivery services of parcel containers and goods of others; providing transportation, shipping, and delivery information; providing transportation, shipping, and delivery consultancy and advisory services; vehicle rental; truck rental; packaging goods for shipment; packaging of articles for transport; delivery services, namely, shipping and delivery of general consumer goods; pick-up, transportation and delivery of documents, packages, and other goods via land and air; providing real-time information to customers about packages in transit. Providing on-line non-downloadable software for scheduling, tracking, and managing the transport of goods; providing on-line non-downloadable software for scheduling shipping and deliveries; providing on-line non-downloadable software to process shipping transactions for documents, packages, and other goods; providing on-line non-downloadable software for analyzing and reporting data relating to shipments; providing on-line non-downloadable software for estimating and facilitating payment of shipping costs, coordinating shipment booking and pickup, tracking shipments, resolving shipping incidents, customs documentation management, and facilitating shipment payments and returns; providing on-line non-downloadable software for shipment processing; providing on-line non-downloadable software for tracking and providing real-time information to commercial shipping customers about atmosphere, temperature, humidity, movement, speed, and location of their shipped packages and goods during transit and delivery; providing on-line non-downloadable software for creating reports, charts and graphs; Software as a service (SAAS) services featuring software for scheduling, tracking, and managing the transport of goods; software as a service (SAAS) services featuring software for scheduling shipping and deliveries; software as a service (SAAS) services featuring software for analyzing and reporting data relating to shipments; software as a service (SAAS) services featuring software for estimating and facilitating payment of shipping costs, coordinating shipment booking and pickup, tracking shipments, resolving shipping incidents, customs documentation management, and facilitating shipment payments and returns; software as a service (SAAS) services featuring software for shipment processing; software as a service (SAAS) services featuring software for tracking and providing real-time information to commercial shipping customers about atmosphere, temperature, humidity, movement, speed, and location of their shipped packages and good during transit and delivery; software as a service (SAAS) services featuring software for creating reports, charts and graphs; Platform as a service (PAAS) featuring computer software platforms for scheduling, tracking, and managing the transport of goods; Platform as a service (PAAS) featuring computer software platforms for scheduling shipping and deliveries; providing on-line non-downloadable software to process shipping transactions for documents, packages, packages and other goods; Platform as a service (PAAS) featuring computer software platforms for analyzing and reporting data relating to shipments; Platform as a service (PAAS) featuring computer software platforms for estimating and facilitating payment of shipping costs, coordinating shipment booking and pickup, tracking shipments, resolving shipping incidents, customs documentation management, and facilitating shipment payments and returns; Platform as a service (PAAS) featuring computer software platforms for shipment processing; Platform as a service (PAAS) featuring computer software platforms for tracking and providing real-time information to commercial shipping customers about atmosphere, temperature, humidity, movement, speed, and location of their shipped packages and goods during transit and delivery; Platform as a service (PAAS) featuring computer software platforms for creating reports, charts and graphs; Application service provider featuring application programming interface (API) software.

25.

LEARN FIRST

      
Numéro d'application 019146504
Statut En instance
Date de dépôt 2025-02-21
Propriétaire Amazon Technologies, Inc. (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Downloadable parental control software; downloadable software for managing, filtering, and monitoring access to mobile devices, applications, and internet usage; downloadable software for remotely managing device and application settings. Non-downloadable parental control software; non-downloadable software for managing, filtering, and monitoring access to mobile devices, applications, and internet usage; non-downloadable software for remotely managing device and application settings.

26.

AMAZON AIR CARGO

      
Numéro d'application 238148300
Statut En instance
Date de dépôt 2025-02-20
Propriétaire Amazon Technologies, Inc. (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 35 - Publicité; Affaires commerciales
  • 39 - Services de transport, emballage et entreposage; organisation de voyages
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

(1) Downloadable software for scheduling, tracking, and managing the transport of goods; downloadable software for scheduling shipping and deliveries; providing on-line non-downloadable software to process shipping transactions for documents, packages, and other goods; downloadable software for analyzing and reporting data relating to shipments; downloadable software for estimating and facilitating payment of shipping costs, coordinating shipment booking and pickup, tracking shipments, resolving shipping incidents, customs documentation management, and facilitating shipment payments and returns; downloadable software for shipment processing; downloadable software for tracking and providing real-time information to commercial shipping customers about atmosphere, temperature, humidity, movement, speed, and location of their shipped packages and goods during transit and delivery; downloadable software for creating reports, charts and graphs; downloadable application programming interface (API) software. (1) Advertising and marketing; business management services; business consulting services; business administration services; business management of transportation, shipping, and delivery services and vehicles for others; business consultancy and advisory services in the field of transportation, shipping, and delivery; transportation, shipping, and delivery logistics management services; arranging for pick-up, transportation, delivery and storage of documents, packages, and other goods by land and air; business data analysis; business management services, namely, supply chain logistics, reverse logistics, and management of shipments and returned shipments; logistics management in the field of shipping, returning, and exchanging consumer and wholesale products; freight management services in the nature of shipment processing, facilitating the exchange of shipping documents and invoices, and tracking documents, packages and freight over computer networks, intranets and the internet for business purposes; computerized tracking of packages and goods in transit; transportation logistics services, namely, planning and scheduling shipments for users of transportation services; monitoring package shipments and deliveries for business purposes; computerized tracking and tracing of packages in transit to ensure on-time delivery for business purposes; providing electronic tracking of freight information to others for business administration purposes; transportation logistics services, namely, arranging the transportation of goods for others; computerized tracking of packages, atmosphere, temperature, humidity, movement, speed, and location of shipped packages; logistics management in the field of transportation and delivery; management assistance services in the field of transportation and delivery; transportation network management solution services; customs clearance services. (2) Air transport; delivery of goods; locating and tracking of shipments for transportation purposes; shipping, delivery, and storage of goods; storage of goods; packaging of goods; parcel delivery; providing information relating to storage services; rental of storage containers; rental of storage lockers; rental of warehouses; transportation logistics; air freight shipping services; providing an on-line computer database in the field of air transportation; providing a website featuring information in the field of air transportation; supply chain logistics and reverse logistics services, namely, storage, transportation and delivery of goods for others by air or land; transport of goods; goods warehousing; merchandise packaging for others; courier services; coordinating transportation, shipping, and delivery services of parcel containers and goods of others; providing transportation, shipping, and delivery information; providing transportation, shipping, and delivery consultancy and advisory services; vehicle rental; truck rental; packaging goods for shipment; packaging of articles for transport; delivery services, namely, shipping and delivery of general consumer goods; pick-up, transportation and delivery of documents, packages, and other goods via land and air; providing real-time information to customers about packages in transit. (3) Providing on-line non-downloadable software for scheduling, tracking, and managing the transport of goods; providing on-line non-downloadable software for scheduling shipping and deliveries; providing on-line non-downloadable software to process shipping transactions for documents, packages, and other goods; providing on-line non-downloadable software for analyzing and reporting data relating to shipments; providing on-line non-downloadable software for estimating and facilitating payment of shipping costs, coordinating shipment booking and pickup, tracking shipments, resolving shipping incidents, customs documentation management, and facilitating shipment payments and returns; providing on-line non-downloadable software for shipment processing; providing on-line non-downloadable software for tracking and providing real-time information to commercial shipping customers about atmosphere, temperature, humidity, movement, speed, and location of their shipped packages and goods during transit and delivery; providing on-line non-downloadable software for creating reports, charts and graphs; software as a service (SaaS) services featuring software for scheduling, tracking, and managing the transport of goods; software as a service (SaaS) services featuring software for scheduling shipping and deliveries; providing on-line non-downloadable software to process shipping transactions for documents, packages, and other goods; software as a service (SaaS) services featuring software for analyzing and reporting data relating to shipments; software as a service (SaaS) services featuring software for estimating and facilitating payment of shipping costs, coordinating shipment booking and pickup, tracking shipments, resolving shipping incidents, customs documentation management, and facilitating shipment payments and returns; software as a service (SaaS) services featuring software for shipment processing; software as a service (SaaS) services featuring software for tracking and providing real-time information to commercial shipping customers about atmosphere, temperature, humidity, movement, speed, and location of their shipped packages and good during transit and delivery; software as a service (SaaS) services featuring software for creating reports, charts and graphs; platform as a service (PaaS) featuring computer software platforms for scheduling, tracking, and managing the transport of goods; platform as a service (PaaS) featuring computer software platforms for scheduling shipping and deliveries; providing on-line non-downloadable software to process shipping transactions for documents, packages, packages and other goods; platform as a service (PaaS) featuring computer software platforms for analyzing and reporting data relating to shipments; platform as a service (PaaS) featuring computer software platforms for estimating and facilitating payment of shipping costs, coordinating shipment booking and pickup, tracking shipments, resolving shipping incidents, customs documentation management, and facilitating shipment payments and returns; platform as a service (PaaS) featuring computer software platforms for shipment processing; platform as a service (PaaS) featuring computer software platforms for tracking and providing real-time information to commercial shipping customers about atmosphere, temperature, humidity, movement, speed, and location of their shipped packages and goods during transit and delivery; platform as a service (PaaS) featuring computer software platforms for creating reports, charts and graphs; application service provider featuring application programming interface (API) software.

27.

PROVIDING RELEVANT INFORMATION BASED ON USAGE DATA

      
Numéro d'application 18923947
Statut En instance
Date de dépôt 2024-10-23
Date de la première publication 2025-02-20
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Fullmer, Gy Stuart
  • Froment, Arnaud Marie
  • Sridharan, Srinivasan
  • Dolbakian, Levon
  • Kilpatrick, Andrea Robin
  • Dumont, Michael David

Abrégé

A computing device can obtain usage data associated with the device. The usage data indicate how the computing device operates or how the device is used. The device can analyze the usage data to recognize usage patterns. The usage patterns can correspond to recurring actions or tasks initiated by the user using the device, such as actions or tasks initiated due to the user's habits and/or routines. Based on the usage patterns, the device can determine a task that has a sufficient likelihood of being performed using the device within a specified or determined time (e.g., 5 minutes from now, one year from now, etc.). The device can provide information (e.g., recommendations) associated with the task, and likely relevant to the user. The user can use the provided information to perform the task, thereby increasing the ease of access or efficiency associated with performing the task.

Classes IPC  ?

  • G06F 9/48 - Lancement de programmes Commutation de programmes, p. ex. par interruption
  • G06N 3/08 - Méthodes d'apprentissage
  • G06Q 10/10 - BureautiqueGestion du temps
  • G06Q 30/02 - MarketingEstimation ou détermination des prixCollecte de fonds
  • G06Q 30/0601 - Commerce électronique [e-commerce]
  • H04N 21/25 - Opérations de gestion réalisées par le serveur pour faciliter la distribution de contenu ou administrer des données liées aux utilisateurs finaux ou aux dispositifs clients, p. ex. authentification des utilisateurs finaux ou des dispositifs clients ou apprentissage des préférences des utilisateurs pour recommander des films
  • H04N 21/41 - Structure de clientStructure de périphérique de client
  • H04N 21/45 - Opérations de gestion réalisées par le client pour faciliter la réception de contenu ou l'interaction avec le contenu, ou pour l'administration des données liées à l'utilisateur final ou au dispositif client lui-même, p. ex. apprentissage des préférences d'utilisateurs pour recommander des films ou résolution de conflits d'ordonnancement
  • H04N 21/466 - Procédé d'apprentissage pour la gestion intelligente, p. ex. apprentissage des préférences d'utilisateurs pour recommander des films

28.

SMART BUSINESS BUYING PODCAST

      
Numéro de série 99047793
Statut En instance
Date de dépôt 2025-02-19
Propriétaire Amazon Technologies, Inc. ()
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 41 - Éducation, divertissements, activités sportives et culturelles

Produits et services

Downloadable podcasts in the field of business Entertainment services, namely, providing podcasts in the field of business

29.

Robotic end effectors having fingers and nails to grasp and cage items

      
Numéro d'application 17398838
Numéro de brevet 12226895
Statut Délivré - en vigueur
Date de dépôt 2021-08-10
Date de la première publication 2025-02-18
Date d'octroi 2025-02-18
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Nambi, Manikantan
  • Mitash, Chaitanya
  • Coleman, Gregory
  • Dietz, Timothy G.

Abrégé

Robotic end effectors may include a suction cup, one or more grasping fingers, and one or more flexible nails to securely and reliably engage, grasp, and cage items. The grasping fingers may move between open and closed positions to grasp items. In addition, the flexible nails may be coupled to ends of the grasping fingers to facilitate caging of items by the fingers and nails. For example, the flexible nails may bend, flex, or slide under, around, or relative to items and thereby enable grasping and caging of portions of items by the fingers and nails. The nails may be formed of various materials, with various layers or thicknesses of materials, and/or with variable flexibility or friction properties. Further, the nails may be transitioned or actuated between multiple configurations, including a sliding configuration and a grasping configuration.

Classes IPC  ?

  • B25J 15/00 - Têtes de préhension
  • B25J 9/16 - Commandes à programme
  • B25J 15/06 - Têtes de préhension avec moyens de retenue magnétiques ou fonctionnant par succion
  • B25J 15/12 - Têtes de préhension avec des éléments en forme de doigts avec des éléments en forme de doigts flexibles

30.

Cart lift robotic transport

      
Numéro d'application 17705817
Numéro de brevet 12227218
Statut Délivré - en vigueur
Date de dépôt 2022-03-28
Date de la première publication 2025-02-18
Date d'octroi 2025-02-18
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Clarke, David
  • Sekich, Danny
  • Bolotski, Michael
  • Walkemeyer, Phillip
  • Caruso, Wesley

Abrégé

Autonomous mobile robots for transporting carts are described. An example robotic cart transport system includes a cart for transport and a robotic transport. The robotic transport includes a transport cab and a load handler. The transport cab includes a drive system and a sensor array positioned over the transport cab. The load handler includes a load base supported by a directable caster wheel, a lift table positioned over the load base, a lift abutment anchor, and a lift drive. The robotic transport can autonomously position the load handler under a cart, and the lift drive can raise the lift table up and off of the top surface of the load base, to a lifted position seated against the lift abutment anchor. The lift table will contact and lift the cart in this motion, and the cart can be transported to a new location by the robotic transport.

Classes IPC  ?

  • B66F 9/06 - Dispositifs pour lever ou descendre des marchandises volumineuses ou lourdes aux fins de chargement ou de déchargement se déplaçant, avec leurs charges, sur des roues ou sur un dispositif analogue, p. ex. chariots élévateurs à fourche
  • B62B 5/00 - Accessoires ou détails spécialement adaptés aux voitures à bras
  • B66F 9/065 - Dispositifs pour lever ou descendre des marchandises volumineuses ou lourdes aux fins de chargement ou de déchargement se déplaçant, avec leurs charges, sur des roues ou sur un dispositif analogue, p. ex. chariots élévateurs à fourche sans mâts
  • B66F 9/075 - Caractéristiques de construction ou détails
  • B66F 9/18 - Moyens pour saisir ou maintenir la charge
  • B66F 9/24 - Dispositifs ou systèmes électriques

31.

Aerial vehicles with proximity sensors for safety

      
Numéro d'application 18477141
Numéro de brevet 12227318
Statut Délivré - en vigueur
Date de dépôt 2023-09-28
Date de la première publication 2025-02-18
Date d'octroi 2025-02-18
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Bata, Assaf
  • Panaghiu, Gheorghe
  • Gheva, Yair E.

Abrégé

An aerial vehicle or another system having moving components may be configured with a capacitive sensing system for detecting body parts of humans or other animals within proximity. The capacitive sensing system includes conductive components provided in association with surfaces of housings within which motors rotate propellers or other objects. The capacitors are coupled to circuits including transistors, resistors, capacitors or other features that are configured to determine levels of capacitance on the conductive components during operations of the aerial vehicle or other system. When a body part approaches a conductive component, and disrupts a level of capacitance on a capacitor coupled to the conductive component, a change in the level of capacitance on the capacitor is detected. Where the change exceeds a predetermined threshold, predetermined actions such as stopping or otherwise altering operations of the motors may be performed.

Classes IPC  ?

  • B64U 20/30 - Caractéristiques de construction de véhicules aériens sans pilote pour la sécurité, p. ex. avec des composants frangibles
  • B64U 20/60 - Véhicules aériens sans pilote caractérisés par le matériau
  • B64U 20/83 - Composants électroniques structurellement intégrés à des éléments de l’aéronef, p. ex. circuits imprimés portant des charges
  • B64U 10/14 - Plates-formes volantes comportant quatre axes distincts de rotors, p. ex. quadcoptères

32.

Activity-based device recommendations

      
Numéro d'application 18243020
Numéro de brevet 12228900
Statut Délivré - en vigueur
Date de dépôt 2023-09-06
Date de la première publication 2025-02-18
Date d'octroi 2025-02-18
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Brett, Charles Edwin Ashton
  • Welbourne, William Evan
  • Wang, Hongyang
  • Kumar, Akshay
  • Strajan, George

Abrégé

Systems and methods for activity-based device recommendations are disclosed. For example, historical usage data associated with a device may indicate that the device is likely to be associated with a given state at a given time. When the device is not in the anticipated state, a recommendation to transition the device state, for example, may be sent. Additionally, a determination of the activity state associated with the device, such as an active state, an asleep state, and/or an away state may be utilized to determine the recommendation to surface, to determine whether to send a recommendation, and when and/or how to send the recommendation.

Classes IPC  ?

  • G05B 19/00 - Systèmes de commande à programme
  • G05B 19/042 - Commande à programme autre que la commande numérique, c.-à-d. dans des automatismes à séquence ou dans des automates à logique utilisant des processeurs numériques
  • G06F 1/3234 - Économie d’énergie caractérisée par l'action entreprise
  • G06N 5/02 - Représentation de la connaissanceReprésentation symbolique
  • G06N 20/00 - Apprentissage automatique

33.

Obscuring memory access patterns through page remapping

      
Numéro d'application 17203600
Numéro de brevet 12229248
Statut Délivré - en vigueur
Date de dépôt 2021-03-16
Date de la première publication 2025-02-18
Date d'octroi 2025-02-18
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Wieczorkiewicz, Pawel
  • Pohlack, Martin
  • Dannowski, Uwe
  • Doebel, Bjoern

Abrégé

A computer system and associated methods are disclosed for mitigating side-channel attacks using memory page remapping. The computer system includes a main memory and a shared cache, the shared cache implementing cache set associativity determined by a portion of memory addresses of the main memory. Multiple physical memory pages are reserved for mapping to a virtual memory page, the physical memory pages differing in the respective portions of their memory addresses determining cache set associativity. Accesses to the virtual memory page result in a mapping of one of the reserved physical memory pages to the virtual memory page, with remapping events causing different ones of the physical memory pages to become mapped. This remapping results in varying cache set associativity of elements stored in the virtual memory page over time.

Classes IPC  ?

  • G06F 21/54 - Contrôle des utilisateurs, des programmes ou des dispositifs de préservation de l’intégrité des plates-formes, p. ex. des processeurs, des micrologiciels ou des systèmes d’exploitation au stade de l’exécution du programme, p. ex. intégrité de la pile, débordement de tampon ou prévention d'effacement involontaire de données par ajout de routines ou d’objets de sécurité aux programmes
  • G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
  • G06F 12/0864 - Adressage d’un niveau de mémoire dans lequel l’accès aux données ou aux blocs de données désirés nécessite des moyens d’adressage associatif, p. ex. mémoires cache utilisant des moyens pseudo-associatifs, p. ex. associatifs d’ensemble ou de hachage
  • G06F 12/0882 - Mode de page
  • G06F 21/55 - Détection d’intrusion locale ou mise en œuvre de contre-mesures
  • G06F 21/56 - Détection ou gestion de programmes malveillants, p. ex. dispositions anti-virus
  • G06F 21/79 - Protection de composants spécifiques internes ou périphériques, où la protection d'un composant mène à la protection de tout le calculateur pour assurer la sécurité du stockage de données dans les supports de stockage à semi-conducteurs, p. ex. les mémoires adressables directement

34.

Systems and methods for road network aware geographical unit generation

      
Numéro d'application 17747866
Numéro de brevet 12229712
Statut Délivré - en vigueur
Date de dépôt 2022-05-18
Date de la première publication 2025-02-18
Date d'octroi 2025-02-18
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Merchan, Daniel Esteban
  • Gupta, Dipal Patel
  • Arora, Jatin
  • Kunkulagunta, Bhargav
  • Pachon, Julian Enrique
  • Malshe, Rohit

Abrégé

Techniques for dividing a geographical area into districts are described herein. Geospatial vector data, barrier geospatial vector data, road infrastructure data, and historical delivery demand data for a geographical area may be obtained. A plurality of clusters from a stratified sampling of data points for the delivery demand data and barrier penalties from a barrier-aware road graph are generated. A first set of polygons for the plurality of clusters may be generated using a concave hull algorithm. A second set of polygons may be generated using a barrier constrained network Voronoi algorithm that uses the barrier-aware road graph and the first set of polygons as seeds. The second set of polygons may be modified using a bounded Voronoi algorithm that uses a raster cost allocation based on barrier penalties. Coordinates for each polygon of the modified second set of polygons are determined that divide the geographical area.

Classes IPC  ?

  • G06Q 10/0835 - Relations entre l’expéditeur ou le fournisseur et les transporteurs
  • G01C 21/00 - NavigationInstruments de navigation non prévus dans les groupes

35.

Event determination and presentation

      
Numéro d'application 17728521
Numéro de brevet 12229716
Statut Délivré - en vigueur
Date de dépôt 2022-04-25
Date de la première publication 2025-02-18
Date d'octroi 2025-02-18
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Famularo, Jason Michael
  • Taylor, Amber Autrey
  • Kumar, Dilip
  • Puerini, Gianna Lise
  • Mathiesen, Thomas Meilandt

Abrégé

Described is a system and method for presenting event information to a user and, if necessary, obtaining confirmation of different aspects (user, item, action) of the event. In some implementations, an event includes a user, an action, and an item. For example, an event may include a user picking an item from an inventory location, a user placing an item into a tote associated with the user, etc. If the aspects of the event cannot be determined with a high enough degree of confidence, a user interface may be generated and sent to the user requesting confirmation of one or more of the aspects of the event.

Classes IPC  ?

  • G06Q 10/00 - AdministrationGestion
  • G06Q 10/087 - Gestion d’inventaires ou de stocks, p. ex. exécution des commandes, approvisionnement ou régularisation par rapport aux commandes
  • G06V 40/12 - Empreintes digitales ou palmaires
  • G06V 40/18 - Caractéristiques de l’œil, p. ex. de l’iris

36.

Dynamic occlusion for augmented reality interface

      
Numéro d'application 17991544
Numéro de brevet 12229874
Statut Délivré - en vigueur
Date de dépôt 2022-11-21
Date de la première publication 2025-02-18
Date d'octroi 2025-02-18
Propriétaire AMAZON TECHNOLOGIES, INC. (USA)
Inventeur(s) Mousseau, Jack

Abrégé

Devices and techniques are described for dynamically disabling occlusion in augmented reality. Point cloud data representing a physical 3D environment may be generated. An occupancy grid including a plurality of cells representing the 3D physical environment may be generated including first occupancy data for a first cell of the occupancy grid. The first occupancy data may indicate that the first cell is occupied based on a point of the point cloud data being present in the first cell. First data representing a placement of a first 3D virtual object may be received, the placement corresponding to a first set of the plurality of cells. A first number of the first set of the plurality of cells with occupancy data indicating occupancy may be determined. The first 3D virtual object may be rendered on a display of the mobile device in front of any physical objects in the 3D physical environment.

Classes IPC  ?

  • G06T 15/10 - Effets géométriques
  • G06T 7/50 - Récupération de la profondeur ou de la forme
  • G06T 7/73 - Détermination de la position ou de l'orientation des objets ou des caméras utilisant des procédés basés sur les caractéristiques
  • G06T 19/00 - Transformation de modèles ou d'images tridimensionnels [3D] pour infographie

37.

Depth sensor evaluation

      
Numéro d'application 17409040
Numéro de brevet 12229994
Statut Délivré - en vigueur
Date de dépôt 2021-08-23
Date de la première publication 2025-02-18
Date d'octroi 2025-02-18
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s) Kulick, Johannes

Abrégé

Disclosed are various embodiments for evaluating performance metrics (e.g., accuracy, depth precision, curvature accuracy, coverage, data acquisition time, etc.) of sensors (e.g., cameras, depth cameras, color cameras, etc.) according to captured image data. One or more reference boards having different types of reference structures (e.g., three-dimensional shapes, materials, three-dimensional patterns (e.g., waves, steps, etc.), gaps, etc.) that are used to evaluate the performance properties of a sensor. A reference board is attached to a robotic arm and positioned in front of a sensor. The robotic arm positions the reference board in front the sensor in different viewpoints while the sensor captures image data associated with the reference board. The captured image data is compared with ground truth data associated with the reference board to determine performance metrics of the sensor.

Classes IPC  ?

  • G06T 7/80 - Analyse des images capturées pour déterminer les paramètres de caméra intrinsèques ou extrinsèques, c.-à-d. étalonnage de caméra
  • G06T 7/50 - Récupération de la profondeur ou de la forme
  • G06T 7/73 - Détermination de la position ou de l'orientation des objets ou des caméras utilisant des procédés basés sur les caractéristiques

38.

Contextual response to motion-based event

      
Numéro d'application 18386098
Numéro de brevet 12230114
Statut Délivré - en vigueur
Date de dépôt 2023-11-01
Date de la première publication 2025-02-18
Date d'octroi 2025-02-18
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Meyers, James
  • Segal, Mara Clair

Abrégé

Systems and methods for configuration for contextual response to motion-based events are disclosed. For example, a predefined event may be detected. The system may determine that a subject associated with the event is of a given type of subjects and may determine whether another person is present in the environment associated with the event to assist in providing aid. The presence of the other person may be detected, a type of the other person may be performed, and a notification may be output on a second device associated with the other person based on the type. The system may track when the other person reach an area associated with the event and may cause the first device to perform an action to assist the other person in providing aid.

Classes IPC  ?

  • G08B 21/04 - Alarmes pour assurer la sécurité des personnes réagissant à la non-activité, p. ex. de personnes âgées
  • G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
  • G06F 9/54 - Communication interprogramme
  • G08B 21/22 - Alarmes de situation réagissant à la présence ou à l'absence de personnes
  • G08B 27/00 - Systèmes d'alarme dans lesquels la condition déclenchant l'alarme est signalée par une station centrale à plusieurs sous-stations

39.

User authentication for voice-input devices

      
Numéro d'application 17396535
Numéro de brevet 12230279
Statut Délivré - en vigueur
Date de dépôt 2021-08-06
Date de la première publication 2025-02-18
Date d'octroi 2025-02-18
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s) Narayanan, Preethi Parasseri

Abrégé

Techniques for authenticating users at devices that interact with the users via voice input. For instance, the described techniques may allow a voice-input device to safely verify the identity of a user by engaging in a back-and-forth conversation. The device or another device coupled thereto may then verify the accuracy of the responses from the user during the conversation, as well as compare an audio signature associated with the user's responses to a pre-stored audio signature associated with the user. By utilizing multiple checks, the described techniques are able to accurately and safely authenticate the user based solely on an audible conversation between the user and the voice-input device.

Classes IPC  ?

  • G10L 17/24 - Procédures interactivesInterfaces homme-machine l’utilisateur étant incité à prononcer un mot de passe ou une phrase prédéfinie
  • G06F 21/32 - Authentification de l’utilisateur par données biométriques, p. ex. empreintes digitales, balayages de l’iris ou empreintes vocales
  • G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p. ex. dialogue homme-machine
  • G10L 17/06 - Techniques de prise de décisionStratégies d’alignement de motifs
  • G10L 17/22 - Procédures interactivesInterfaces homme-machine

40.

Chatbot conversation flow designer

      
Numéro d'application 17846747
Numéro de brevet 12231377
Statut Délivré - en vigueur
Date de dépôt 2022-06-22
Date de la première publication 2025-02-18
Date d'octroi 2025-02-18
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Saurabh, Saket
  • Mishra, Anubhav
  • Don Manuel, Fnu
  • Hu, Kuai

Abrégé

Techniques for updating a chatbot definition are described. In some examples, this updating includes receiving an edit to intent characteristics for a stage of a plurality of stages in a chatbot flow, identifying a stage to modify based on at least the received edit, identifying, for the stage, a default update rule based on the chatbot definition, and updating the stage in the chatbot definition by inferring a next step according to one or more rules for the stage including the identified default update rule.

Classes IPC  ?

  • H04L 51/02 - Messagerie d'utilisateur à utilisateur dans des réseaux à commutation de paquets, transmise selon des protocoles de stockage et de retransmission ou en temps réel, p. ex. courriel en utilisant des réactions automatiques ou la délégation par l’utilisateur, p. ex. des réponses automatiques ou des messages générés par un agent conversationnel
  • G06F 40/166 - Édition, p. ex. insertion ou suppression
  • G06F 40/30 - Analyse sémantique
  • G06N 5/04 - Modèles d’inférence ou de raisonnement

41.

Automated video summary generation using textual quotes

      
Numéro d'application 16255344
Numéro de brevet 12231745
Statut Délivré - en vigueur
Date de dépôt 2019-01-23
Date de la première publication 2025-02-18
Date d'octroi 2025-02-18
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Dubey, Deep
  • Das, Sushanta
  • Benoit, Kenneth
  • Gandotra, Anup
  • Fluckey, Adam
  • Kajale, Nikhil

Abrégé

Systems, methods, and computer-readable media are disclosed for systems and methods for automated video summary generation using textual quotes. Example methods may include determining first text representing a phrase spoken in video content, determining that the first text is present in first subtitle data of first video content, determining a first timestamp and a second timestamp associated with the first text in the first subtitle data, determining a first video segment of the first video content corresponding to the first timestamp and the second timestamp, and generating a first video summary for the first video content, the first video summary comprising the first video segment.

Classes IPC  ?

  • H04N 21/8549 - Création de résumés vidéo, p. ex. bande annonce
  • G11B 27/031 - Montage électronique de signaux d'information analogiques numérisés, p. ex. de signaux audio, vidéo
  • G11B 27/22 - Moyens sensibles à la présence ou à l'absence de signaux d'information enregistrés
  • H04N 21/482 - Interface pour utilisateurs finaux pour la sélection de programmes
  • H04N 21/845 - Structuration du contenu, p. ex. décomposition du contenu en segments temporels

42.

Systems, devices, and methods for virus detection via fluorescence emission

      
Numéro d'application 17224774
Numéro de brevet 12228514
Statut Délivré - en vigueur
Date de dépôt 2021-04-07
Date de la première publication 2025-02-18
Date d'octroi 2025-02-18
Propriétaire A9.com, Inc. (USA)
Inventeur(s) Resquin, Carlos Roberto

Abrégé

A system for virus detection, and related method, employ a fluorescence detection device to capture an image of processed samples irradiated by fluorescence excitation light. A system includes a fluorescence detection device and a computing device. The fluorescence detection device includes an image capture device that captures an image of fluorescence emitted by samples in response to incidence of the excitation light onto the samples. The computing device processes the image to determine one or more detection results for the presence of one or more viruses in the samples.

Classes IPC  ?

  • G01N 21/64 - FluorescencePhosphorescence
  • C12Q 1/70 - Procédés de mesure ou de test faisant intervenir des enzymes, des acides nucléiques ou des micro-organismesCompositions à cet effetProcédés pour préparer ces compositions faisant intervenir des virus ou des bactériophages

43.

Logistic management system for sorting packages

      
Numéro d'application 17702988
Numéro de brevet 12227359
Statut Délivré - en vigueur
Date de dépôt 2022-03-24
Date de la première publication 2025-02-18
Date d'octroi 2025-02-18
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Campbell, Stephen T.
  • Clarke, Ryan

Abrégé

A system receives a first indication associated with a first device picking up a package and transmits a first instruction to the first device to travel to a location associated with transferring the package to a second device. The system may transmit a second instruction to the second device to travel to the location to receive the package from the first device. The system receives a second indication associated with the package being transferred from the first device to the second device at the location. One or more third devices may meet at the location to transfer packages to the second device. In some instances, the location may be determined based at least in part on a current location of the first device and/or a current location of the second device.

Classes IPC  ?

  • B65G 1/137 - Dispositifs d'emmagasinage mécaniques avec des aménagements ou des moyens de commande automatique pour choisir les objets qui doivent être enlevés

44.

Mitigating bias in multimodal models via query transformation

      
Numéro d'application 18515105
Numéro de brevet 12229179
Statut Délivré - en vigueur
Date de dépôt 2023-11-20
Date de la première publication 2025-02-18
Date d'octroi 2025-02-18
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Kleindessner, Matthaeus
  • Russell, Christopher Michael
  • Budhathoki, Kailash
  • Turkmen, Ali Caner
  • Deng, Siqi
  • Gunjal, Varad
  • Swaminathan, Ashwin
  • Manmatha, Raghavan
  • Yang, Hao

Abrégé

The present disclosure generally relates to systems and methods for searching media content. In some implementation examples, a search system receives an input query, generates a query embedding of the input query, and generates a bias mitigation transformation associated with a sensitive attribute. Based on the query embedding and the bias mitigation transformation, the search system generates a transformed query embedding that suppresses at least a portion of the query embedding related to the sensitive attribute. Using the transformed query embedding, the search system executes a similarity search in a media embedding model to identify one or more media embeddings that are similar to the transformed query embedding and transmits the one or more media embeddings.

Classes IPC  ?

  • G06F 16/40 - Recherche d’informationsStructures de bases de données à cet effetStructures de systèmes de fichiers à cet effet de données multimédia, p. ex. diaporama comprenant des données d'image et d’autres données audio
  • G06F 16/432 - Formulation de requêtes
  • G06F 16/53 - Requêtes

45.

Embedding insecure web applications in secure web pages

      
Numéro d'application 17710623
Numéro de brevet 12229247
Statut Délivré - en vigueur
Date de dépôt 2022-03-31
Date de la première publication 2025-02-18
Date d'octroi 2025-02-18
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Shcherba, Viktor
  • Van Henten, Matthijs
  • Bailiss, Arron

Abrégé

Embedding an insecure application within a host application is performed. Modern applications may incorporate smaller applications into a common interface with some applications requiring more privilege than others. A host application may be configured to load an application into a sandboxed frame to create separate security zones by isolating the originating domains of the respective applications. Security authorization for the sandboxed application may be obtained by the host application as part of initialization. Then, operations to be performed by the sandboxed application that require origination from the host domain may be requested by the application to the host using a Remote Procedure Call (RPC) mechanism. The host may then perform the requested operations on behalf of the application and return the results via RPC. In this manner, the embedded application may employ greater application privileges without increasing security vulnerabilities of the host.

Classes IPC  ?

  • G06F 21/53 - Contrôle des utilisateurs, des programmes ou des dispositifs de préservation de l’intégrité des plates-formes, p. ex. des processeurs, des micrologiciels ou des systèmes d’exploitation au stade de l’exécution du programme, p. ex. intégrité de la pile, débordement de tampon ou prévention d'effacement involontaire de données par exécution dans un environnement restreint, p. ex. "boîte à sable" ou machine virtuelle sécurisée
  • G06F 9/54 - Communication interprogramme

46.

Deduplication of shared dependencies in micro frontends

      
Numéro d'application 18067625
Numéro de brevet 12229536
Statut Délivré - en vigueur
Date de dépôt 2022-12-16
Date de la première publication 2025-02-18
Date d'octroi 2025-02-18
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Gurtu, Sagar
  • Steele-Idem, Patrick Nelson
  • Mani, Karthick

Abrégé

Described are systems and methods for deduplicating shared dependencies for micro-frontend applications. Embodiments of the present disclosure can provide hosting of shared dependencies on a networked resource, such as a content delivery network (CDN), and import statements of the shared dependencies can be replaced with calls to a network identifier specifying a network location where the shared dependencies are hosted. Accordingly, the shared dependencies can be natively imported from the network location and shared among the micro-frontend bundles.

Classes IPC  ?

47.

Resource management techniques to reduce startup overhead for machine learning tasks

      
Numéro d'application 17482272
Numéro de brevet 12229600
Statut Délivré - en vigueur
Date de dépôt 2021-09-22
Date de la première publication 2025-02-18
Date d'octroi 2025-02-18
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Datta, Ramyanshu
  • Li, Zhihan
  • Nagarajan, Arun Babu
  • Sowmyan, Arvind
  • Chia, Kohen Berith
  • You, Wei
  • Chandy, Ishaaq
  • Mehrotra, Kunal
  • Olgiati, Andrea
  • Ramakrishnan, Lakshmi Naarayanan
  • Gupta, Saurabh

Abrégé

Parameters of a pool of computing resources to be utilized for machine learning tasks from a set of entities are stored, including a category of the computing resources, and a post-task-completion retention period during which, after completion of a task, at least a portion of data stored at the resource is not to be deleted. A compute instance of the pool is assigned to a task requested from the set of entities after determining that one or more configuration settings of the instance satisfy a preference indicated in the request for the task, and that the retention period of the instance relative to a completion of an earlier task on the instance has not expired. A result of the task is stored.

Classes IPC  ?

  • G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]

48.

System for mapping images to a canonical space

      
Numéro d'application 16712655
Numéro de brevet 12230052
Statut Délivré - en vigueur
Date de dépôt 2019-12-12
Date de la première publication 2025-02-18
Date d'octroi 2025-02-18
Propriétaire AMAZON TECHNOLOGIES, INC. (USA)
Inventeur(s)
  • Kviatkovsky, Igor
  • Bhonker, Nadav Israel
  • Nogin, Yevgeni
  • Goldenberg, Roman
  • Aggarwal, Manoj
  • Medioni, Gerard Guy

Abrégé

Images of a hand are obtained by a camera. A pose of the hand relative to the camera may vary due to rotation, translation, articulation of joints in the hand, and so forth. Avatars comprising texture maps from images of actual hands and three-dimensional models that describe the shape of those hands are manipulated into different poses and articulations to produce synthetic images. Given that the mapping of points on an avatar to the synthetic image is known, highly accurate annotation data is produced that relates particular points on the avatar to the synthetic image. An artificial neural network (ANN) is trained using the synthetic images and corresponding annotation data. The trained ANN processes a first image of a hand to produce a second image of the hand that appears to be in a standardized or canonical pose. The second image may then be processed to identify the user.

Classes IPC  ?

  • G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
  • G06F 18/2131 - Extraction de caractéristiques, p. ex. en transformant l'espace des caractéristiquesSynthétisationsMappages, p. ex. procédés de sous-espace basée sur un traitement dans le domaine de transformation, p. ex. transformée en ondelettes
  • G06F 18/214 - Génération de motifs d'entraînementProcédés de Bootstrapping, p. ex. ”bagging” ou ”boosting”
  • G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
  • G06T 3/00 - Transformations géométriques de l'image dans le plan de l'image
  • G06T 3/04 - Transformations préservant le contexte, p. ex. utilisant une carte d’importance
  • G06T 7/70 - Détermination de la position ou de l'orientation des objets ou des caméras
  • G06V 40/12 - Empreintes digitales ou palmaires

49.

Data routing in a multi-assistant context

      
Numéro d'application 17957270
Numéro de brevet 12230266
Statut Délivré - en vigueur
Date de dépôt 2022-09-30
Date de la première publication 2025-02-18
Date d'octroi 2025-02-18
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Henry, David
  • Chan, Kenneth Chung Leung
  • Prabhu, Akshai Gopalakrishnan
  • Zhu, Yilin
  • Soquet, Alain

Abrégé

Techniques for routing data, in a system including multiple assistants, are described. A user device may store configuration data for a virtual assistant, where the configuration data includes a virtual assistant identifier, one or more resource identifiers, and optionally a virtual assistant name. A resource identifier may correspond to a component or device(s) of the virtual assistant. When the user device receives event data associated with a virtual assistant identifier, the user device may use stored configuration data to determine a resource identifier(s) associated with the virtual assistant identifier, associated with the event data. The user device may thereafter send the event data to the component and/or device(s) corresponding to the determined resource identifier(s).

Classes IPC  ?

  • G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p. ex. dialogue homme-machine
  • G10L 15/08 - Classement ou recherche de la parole

50.

Voice-controlled device switching between modes based on speech input

      
Numéro d'application 18471065
Numéro de brevet 12230270
Statut Délivré - en vigueur
Date de dépôt 2023-09-20
Date de la première publication 2025-02-18
Date d'octroi 2025-02-18
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Vanderschaegen, Valere Joseph
  • Das, Kazim
  • Cantrell, Donald L.
  • Nerriec, Johan Le
  • Tavares, Joseph Pedro

Abrégé

Techniques for presenting content by a voice-controlled device are described. In an example, the voice-controlled device is operatively coupled to a presentation device and supports dual mode functionalities. In a first mode, the voice-controlled device sends content for presentation at the presentation device. In a second mode, the voice-controlled device presents the content at a presentation interface of the voice-controlled device. Based on speech input from a user indicating an issue with a content presentation in the first mode, the voice-controlled device switches to the second mode and presents a message at the presentation interface indicating that subsequent content presentations would be presented at this interface. The voice-controlled device remains in the second mode until receiving additional speech input necessitating a switch to the first mode.

Classes IPC  ?

  • G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p. ex. dialogue homme-machine
  • H04N 21/422 - Périphériques d'entrée uniquement, p. ex. système de positionnement global [GPS]
  • H04N 21/472 - Interface pour utilisateurs finaux pour la requête de contenu, de données additionnelles ou de servicesInterface pour utilisateurs finaux pour l'interaction avec le contenu, p. ex. pour la réservation de contenu ou la mise en place de rappels, pour la requête de notification d'événement ou pour la transformation de contenus affichés

51.

Output of visual supplemental content

      
Numéro d'application 17677520
Numéro de brevet 12230278
Statut Délivré - en vigueur
Date de dépôt 2022-02-22
Date de la première publication 2025-02-18
Date d'octroi 2025-02-18
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Bao, Yining
  • Hong, Ellen
  • Xiong, Wenjun
  • Pantoja, Luis
  • Sharma, Manish Dutt
  • Wu, Felix Xiaomeng

Abrégé

Techniques for outputting supplemental content are described. A system may receive input data corresponding to a user input, and determine and present output data responsive to the user input. After causing the output data to be presented, the system may determine supplemental content is to be presented. Based on this, the system may determine first presentation data representing first supplemental content is to be visually presented, and second presentation data representing second supplemental content is to be audibly presented. The system may use a machine learning model to determine the first supplemental content is to be presented instead of the second supplemental content. The system may thereafter cause a device to use the first presentation data to visually present the first supplemental content.

Classes IPC  ?

  • G10L 17/22 - Procédures interactivesInterfaces homme-machine
  • G06F 3/14 - Sortie numérique vers un dispositif de visualisation
  • G10L 13/02 - Procédés d'élaboration de parole synthétiqueSynthétiseurs de parole
  • G10L 17/14 - Par catégorisation phonémique ou reconnaissance de la parole avant identification ou vérification du locuteur

52.

BLOCK ANCHORS FOR ONLINE LOG PARSING

      
Numéro d'application 18805394
Statut En instance
Date de dépôt 2024-08-14
Date de la première publication 2025-02-13
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Wang, Xiao
  • Chhabra, Jasmeet

Abrégé

Online block parsing techniques are performed that use anchor tokens. When a log entry of a log stream is received, the log entry may be tokenized into an ordered series of log units. The log units may be matched with anchor tokens in previously initialized log templates to determine a matching log template. A log template based on the matching log template may be provided with the tokenized log entry to a destination for a parsed version of the log stream.

Classes IPC  ?

  • G06F 11/36 - Prévention d'erreurs par analyse, par débogage ou par test de logiciel

53.

APPLICATION OF INTER-ITEM CATEGORY CONSTRAINT FOR UNCATEGORIZED CONTENT ITEMS

      
Numéro d'application 18929475
Statut En instance
Date de dépôt 2024-10-28
Date de la première publication 2025-02-13
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Kersh, James Zachary
  • Nilkanth, Manish Landge

Abrégé

A supplemental content retrieval system receives requests for supplemental content from various content providers, and makes respective requests to supplemental content provider(s). Responses to the requests may be subject to a time limit. The requests to the supplemental content provider(s) may be made in parallel or serially, and may sometimes include information based on responses from another content provider. The supplemental content retrieval system receives responses with content items from the supplemental content providers and, for items in the responses that do not specify a category, determines categories of the items (e.g., based on item metadata, interactive links in the content item, item identifiers for the items, etc.). The supplemental content retrieval system applies a constraint (e.g., an inter-item category constraint or similar, which also may be associated with a time limit) to the categorized items to prepare responses to respective content provider requests.

Classes IPC  ?

  • G06F 16/28 - Bases de données caractérisées par leurs modèles, p. ex. des modèles relationnels ou objet

54.

VISION-AND-LANGUAGE MODEL TRAINING

      
Numéro d'application 18930905
Statut En instance
Date de dépôt 2024-10-29
Date de la première publication 2025-02-13
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Arici, Tarik
  • Seyfioglu, Mehmet Saygin
  • Tutar, Ismail Baha
  • Neiman, Tal

Abrégé

Systems and methods for improving training processes for image and text applications are described. A first set of embeddings may be generated based on a text input, and a second set of embeddings may be generated via a convolutional neural network (CNN), based on an input image. The first set of embeddings and the second set of embeddings may be utilized to generate a third set of embeddings including one or more placeholder values to be replaced. The placeholder values may be replaced based on predicted values, to reconstruct the input text and image.

Classes IPC  ?

  • G06F 18/214 - Génération de motifs d'entraînementProcédés de Bootstrapping, p. ex. ”bagging” ou ”boosting”
  • G06F 18/25 - Techniques de fusion
  • G06F 40/30 - Analyse sémantique
  • G06N 3/08 - Méthodes d'apprentissage
  • G06T 9/00 - Codage d'image
  • G06V 30/262 - Techniques de post-traitement, p. ex. correction des résultats de la reconnaissance utilisant l’analyse contextuelle, p. ex. le contexte lexical, syntaxique ou sémantique

55.

NOVI

      
Numéro d'application 019142290
Statut En instance
Date de dépôt 2025-02-12
Propriétaire Amazon Technologies, Inc. (USA)
Classes de Nice  ?
  • 09 - Appareils et instruments scientifiques et électriques
  • 41 - Éducation, divertissements, activités sportives et culturelles

Produits et services

Podcasts; Downloadable podcasts; Podcasts for children; Electronic books; Downloadable electronic books; Electronic books for children; Downloadable webcasts; Webcasts for children; Computer software concerned with children's entertainment; Computer software concerned with children's education; Downloadable pre-recorded audio and audiovisual content, information, and commentary; Downloadable audio works, visual works, audiovisual works, and electronic publications, on a variety of topics including those of interest to children; Pre-recorded downloadable audio recordings featuring educational and/or entertainment programming for children; Pre-recorded video recordings featuring educational and/or entertainment programming for children; Pre-recorded downloadable audio and visual recordings featuring educational and/or entertainment programming for children; Pre-recorded audio and visual recordings in optical disc, DVD, and CD format featuring educational and/or entertainment programming for children; Downloadable digital music; Downloadable computer games and activities for children. Education; Providing of training; Entertainment; Entertainment services for children; Entertainment in the nature of a children's podcast series provided through cable, the Internet and wireless communications networks; Entertainment services, namely, an ongoing children's series providing online non-downloadable comic books and graphic novels; Provision of children's stories by webcasts; Educational services for children; Creation [writing] of podcasts; Provision of entertainment via podcast; Creation [writing] of educational content for podcasts; Educational and entertainment services in the nature of podcasts; Provision of children's stories by podcasts; Teaching of French to children through recreation; Provision of downloadable e-books; Editing of books; Editing of e-books; Providing online books, not downloadable; Production of television and radio programmes; Production of podcasts; Production of vodcasts; Providing pre-recorded audio, audiovisual, and multimedia works on a variety of topics of general interest to children via the internet or other computer or communications networks; Production of music; Publication of electronic books and journals on-line; Publication of texts, other than publicity texts; Radio entertainment; Recording studio services; Recreation information; Rental of sound recordings; Subtitling; Television entertainment; Theatre productions; Translation; Providing information, news, articles and commentary on a variety of topics including topics of general interest to children (education and entertainment); providing on-line computer and educational games and on-line interactive stories; Publishing of books, electronic books, magazines, periodicals, literary works, visual works, audio works, and audiovisual works; Providing non-downloadable pre-recorded audio, visual and audiovisual works via wireless networks; Providing on-line computer games and on-line interactive stories; Providing online newsletters and blogs on a variety of topics of general interest to children via the internet or other computer or communications networks; Publication of excerpts from books, periodicals, and literary works, and providing virtual environments in which users can interact for recreational, leisure, or entertainment purposes; Interactive educational services in the nature of computer-based and computer-assisted instruction on a variety of topics of general interest to children; Educational and entertainment services namely the provision of podcasts, webcasts, and continuing programs featuring news and commentary on a variety of topics of general interest to children via the internet or other computer or communications networks; providing information, news, articles and commentary in the field of education and educational institutions; production and rental of audio-visual works, specifically, podcasts, webcasts, motion pictures, television programming, videos, music videos, and music, for streaming or downloading in the fields of news, entertainment, sports, comedy, drama, music, and music videos; provision of electronic publications (included in this class); providing information in the field of electronic publishing in all forms, via the Internet or other computer or communications network.

56.

Cap system for pallet jack

      
Numéro d'application 17543112
Numéro de brevet 12221147
Statut Délivré - en vigueur
Date de dépôt 2021-12-06
Date de la première publication 2025-02-11
Date d'octroi 2025-02-11
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Dwyer, James Patrick
  • Girod, Eli Douglas
  • Gratias, Ryan
  • Deffenbaugh, Nathanael Edmund
  • Gruendel, Robert Matthew
  • Gallagher, Ed

Abrégé

In one example, a pallet jack cap system includes a stabilization outrigger secured around steer wheels of a pallet jack, a bonnet in an elevated position over forks of the pallet jack, an anchor base for attachment to the pallet jack, and a vertical extension system between the anchor base and the bonnet. The vertical extension system supports the bonnet in the elevated position over the forks of the pallet jack. The vertical extension system can include an elevating vertical support assembly, an elastic counterpoise to assist with positioning the bonnet at a particular elevation based on an extension of the vertical support assembly, and an extension lock to secure the vertical support assembly at the particular elevation. The bonnet can be lowered down over a unit load on a pallet transported by the pallet jack, to secure the unit load and items in transport by the pallet jack.

Classes IPC  ?

  • B62B 3/06 - Voitures à bras ayant plus d'un essieu portant les roues servant au déplacementDispositifs de direction à cet effetAppareillage à cet effet comportant des moyens pour accrocher ou saisir en place les objets à transporterAppareillage de manutention de charges pour dégager simplement la charge du sol, p. ex. chariot à course de levée réduite
  • B66F 9/065 - Dispositifs pour lever ou descendre des marchandises volumineuses ou lourdes aux fins de chargement ou de déchargement se déplaçant, avec leurs charges, sur des roues ou sur un dispositif analogue, p. ex. chariots élévateurs à fourche sans mâts
  • B66F 9/075 - Caractéristiques de construction ou détails

57.

Heat sinks for bare die multi-chip packages

      
Numéro d'application 17547919
Numéro de brevet 12222776
Statut Délivré - en vigueur
Date de dépôt 2021-12-10
Date de la première publication 2025-02-11
Date d'octroi 2025-02-11
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Elashri, Ali
  • Megarity, William Mark
  • Conroy, Ryan F
  • Agarwal, Chetan Sanjay
  • Choudhary, Priti

Abrégé

Various mounting systems for mounting heat sink apparatus to bare die processors are disclosed. The mounting systems include an upper plate, which may include a heat transfer portion, positioned in proximity to the upper surface of bare die processors to provide heat conduction away from the processors. The disclosed mounting systems secure the upper plate to the processors with balanced and centralized forces to inhibit tilting of the upper plate and reduce the risk of damaging the processors.

Classes IPC  ?

  • G06F 1/18 - Installation ou distribution d'énergie
  • G06F 1/20 - Moyens de refroidissement
  • H05K 7/20 - Modifications en vue de faciliter la réfrigération, l'aération ou le chauffage

58.

Graph-based detection of abusive computational nodes

      
Numéro d'application 17840176
Numéro de brevet 12223056
Statut Délivré - en vigueur
Date de dépôt 2022-06-14
Date de la première publication 2025-02-11
Date d'octroi 2025-02-11
Propriétaire AMAZON TECHNOLOGIES, INC. (USA)
Inventeur(s)
  • Zhang, Zhilin
  • Janvekar, Naveed Ahmed Saleem
  • Feng, Pengbin
  • Bhaskar, Nitika

Abrégé

Devices and techniques are generally described for detection of abusive computational nodes. In various examples, first input data describing a first plurality of computational nodes and first data identifying a dimension along which to parse the first plurality of computational nodes may be received. A first computing device may generate input graph data representing the first plurality of computational nodes. The computational nodes of the first plurality of computational nodes may share a same value for the dimension are connected to one another in the input graph data. In various examples, a first graph machine learning model and at least one known abusive computational node may be used to determine a first set of candidate computational nodes for further evaluation. In some cases, network access of a first computational node of the first set of candidate computational nodes may be terminated.

Classes IPC  ?

  • H04L 9/40 - Protocoles réseaux de sécurité
  • G06F 21/57 - Certification ou préservation de plates-formes informatiques fiables, p. ex. démarrages ou arrêts sécurisés, suivis de version, contrôles de logiciel système, mises à jour sécurisées ou évaluation de vulnérabilité
  • G06N 3/042 - Réseaux neuronaux fondés sur la connaissanceReprésentations logiques de réseaux neuronaux

59.

Separate authorization for managing stages in a data pipeline

      
Numéro d'application 17547934
Numéro de brevet 12223065
Statut Délivré - en vigueur
Date de dépôt 2021-12-10
Date de la première publication 2025-02-11
Date d'octroi 2025-02-11
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Fathalla, Mohamed Emad El Din
  • Vig, Akshat
  • Duffy, Jeffrey Alan
  • Idziorek, Joseph Robert

Abrégé

A resource-based authorization control may be added to a data processing service. A control-plane action requested by an account or entity creates a resource-based authorization policy. The resource-based authorization policy pertaining to respective resources allows recurrent data-plane actions to maintain a data flow in a data pipeline to be authorized independent of a separate authorization service.

Classes IPC  ?

  • G06F 21/00 - Dispositions de sécurité pour protéger les calculateurs, leurs composants, les programmes ou les données contre une activité non autorisée
  • G06F 21/60 - Protection de données
  • G06F 21/62 - Protection de l’accès à des données via une plate-forme, p. ex. par clés ou règles de contrôle de l’accès

60.

Management of operating system software using read-only multi-attach block volumes

      
Numéro d'application 18478624
Numéro de brevet 12223191
Statut Délivré - en vigueur
Date de dépôt 2023-09-29
Date de la première publication 2025-02-11
Date d'octroi 2025-02-11
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s) Shah, Amit

Abrégé

An operating system, or operating system update, management service uses a shared read-only multi-attach volume of a block-based storage service to distribute operating systems or operating system updates to a set of virtualized computing instances. Also, to store launch specific information, that is specific to a given virtualized computing instance, additional writable volumes are used, wherein a write volume is attached to each of the computing instances of the set. This eliminates the need to provide a full copy of an OS volume to each of the computing instances.

Classes IPC  ?

  • G06F 3/06 - Entrée numérique à partir de, ou sortie numérique vers des supports d'enregistrement

61.

Expressions management service for data sheet-based applications

      
Numéro d'application 16367092
Numéro de brevet 12223262
Statut Délivré - en vigueur
Date de dépôt 2019-03-27
Date de la première publication 2025-02-11
Date d'octroi 2025-02-11
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Rozenfeld, Joseph
  • Brodsky, Stephen
  • Golden, Robin Alan
  • Rehaag, Aaron-Kenneth Karl
  • Binyamin, Shuki

Abrégé

A unique identifier of an expression which refers to a cell of a data sheet is stored in a repository. In an application comprising an operation based on evaluating the expression, the expression is indicated by the unique identifier. In response to detecting a write directed to the cell, a modified version of contents of the cell is stored without re-evaluating the expression. The expression is re-evaluated in response to determining that the operation of the application is to be implemented.

Classes IPC  ?

  • G06F 40/18 - Édition, p. ex. insertion ou suppression de tableauxÉdition, p. ex. insertion ou suppression utilisant des lignes réglées de tableurs
  • H04L 67/75 - Services réseau en affichant sur l'écran de l'utilisateur les conditions du réseau ou d'utilisation

62.

Systems and methods to secure fabric to speaker-based devices

      
Numéro d'application 17468825
Numéro de brevet 12225336
Statut Délivré - en vigueur
Date de dépôt 2021-09-08
Date de la première publication 2025-02-11
Date d'octroi 2025-02-11
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Geng, Xuan
  • Swindlehurst, Susan
  • Cheng, Wentao
  • Ganapathysubramanian, Shankar

Abrégé

Systems and methods are disclosed for securing fabric to speaker-based devices. An example device may include a housing having a first portion devoid of apertures, and a second portion having a first number of apertures. The device may include a fabric disposed about the housing, and an adhesive disposed between the fabric and the housing. The adhesive may include a first portion disposed between a first portion of the fabric and the first portion of the housing, and a second portion disposed between a second portion of the fabric and the second portion of the housing. The first portion of the adhesive may have a patterned non-liquid material that is bonded, and the second portion of the adhesive may have the patterned non-liquid material that is unbonded.

Classes IPC  ?

  • H04R 1/02 - BoîtiersMeublesMontages à l'intérieur de ceux-ci
  • B32B 3/26 - Produits stratifiés comprenant une couche ayant des discontinuités ou des rugosités externes ou internes, ou une couche de forme non planeProduits stratifiés comprenant une couche ayant des particularités au niveau de sa forme caractérisés par une couche continue dont le périmètre de la section droite a une allure particulièreProduits stratifiés comprenant une couche ayant des discontinuités ou des rugosités externes ou internes, ou une couche de forme non planeProduits stratifiés comprenant une couche ayant des particularités au niveau de sa forme caractérisés par une couche comportant des cavités ou des vides internes
  • B32B 5/02 - Produits stratifiés caractérisés par l'hétérogénéité ou la structure physique d'une des couches caractérisés par les caractéristiques de structure d'une couche comprenant des fibres ou des filaments
  • B32B 7/12 - Liaison entre couches utilisant des adhésifs interposés ou des matériaux interposés ayant des propriétés adhésives

63.

Camera mount

      
Numéro d'application 29866392
Numéro de brevet D1061684
Statut Délivré - en vigueur
Date de dépôt 2022-09-09
Date de la première publication 2025-02-11
Date d'octroi 2025-02-11
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Biddle, Jonathan Howard
  • Burns, Thomas
  • Bowers, Alexsandra M.
  • Grearson, Paul Douglas
  • Specht, Alexandra

64.

Calibration garage for automated calibration of depth sensors in mobile robots

      
Numéro d'application 17361843
Numéro de brevet 12220813
Statut Délivré - en vigueur
Date de dépôt 2021-06-29
Date de la première publication 2025-02-11
Date d'octroi 2025-02-11
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Bozkaya, Dincer
  • Woo, Sara Jean
  • Klein, William Joseph
  • Ma, Jing
  • Cartagena, Gregory
  • Croyle, Justin
  • Hebert, Gabriel
  • Alagic, Fahrudin
  • Caldara, Stephen A.

Abrégé

Systems and techniques for performing a calibration test of an obstacle detection sensor of a drive unit are described. An example system includes a calibration region and at least one drive unit. The calibration region is disposed in an environment and includes a calibration apparatus. The at least one drive unit is operable to autonomously move throughout the environment. The at least one drive unit includes a sensor configured to detect one or more objects within the environment. The at least one drive unit is configured to autonomously transition to the calibration region upon detecting at least one predetermined condition, and perform a calibration test of the first sensor at the calibration region using the calibration apparatus.

Classes IPC  ?

  • B25J 19/02 - Dispositifs sensibles
  • B25J 9/16 - Commandes à programme
  • G01C 21/00 - NavigationInstruments de navigation non prévus dans les groupes
  • G01C 25/00 - Fabrication, étalonnage, nettoyage ou réparation des instruments ou des dispositifs mentionnés dans les autres groupes de la présente sous-classe
  • G06Q 10/087 - Gestion d’inventaires ou de stocks, p. ex. exécution des commandes, approvisionnement ou régularisation par rapport aux commandes

65.

Data store selection and consistent routing using a pointer table

      
Numéro d'application 17932256
Numéro de brevet 12222920
Statut Délivré - en vigueur
Date de dépôt 2022-09-14
Date de la première publication 2025-02-11
Date d'octroi 2025-02-11
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Zhang, Tao
  • Hulivan Girisha, Sneha
  • Ng, Christopher Yue

Abrégé

A subscription storage service of a provider network may be used to select a particular datastore to store a topic subscription record for an IoT device (e.g., after the IoT device subscribes to an MQTT topic). The service may select the particular datastore based on the type of the subscription (e.g., non-wildcard vs. wildcard subscription) and one or more criteria associated with the topic (e.g., subscribe operation TPS for the topic). This may allow the service to store wildcard subscriptions to a different structure and/or datastore (e.g., a “trie” structure of an in-memory data store), while offloading the storage of non-wildcard subscriptions to another type of datastore (e.g., a key-value store) that has lower performance and/or operational cost to store data.

Classes IPC  ?

  • G06F 16/22 - IndexationStructures de données à cet effetStructures de stockage
  • G06F 16/23 - Mise à jour

66.

Propagating resource scaling information between source and target data stores of a materialized view

      
Numéro d'application 17548373
Numéro de brevet 12222932
Statut Délivré - en vigueur
Date de dépôt 2021-12-10
Date de la première publication 2025-02-11
Date d'octroi 2025-02-11
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Vig, Akshat
  • Kuppahally, Sharatkumar Nagesh
  • Curran, Bradley James

Abrégé

A materialized view management service (MVMS) is capable of monitoring resource allocation changes of a source data object at a source data store and responsively generating resource change alerts to the owner of a target data object (the materialized view) in the target data store. Resource allocation changes may include autoscaling changes to the source data object's partition scheme, throughput limit, storage limit, and the like. The MVMS generates resource change alerts in response to these detected events and pushes the alerts to interested subscribers. Depending on the embodiment, the alerts may be pushed to human administrators, or the target data store itself, which may be configured to automatically adjust the resource allocation of the target data object to match the source data object. Advantageously, the disclosed alerts allow view owners to gain real time visibility of resource auto-scaling at the data source and appropriately react to such changes.

Classes IPC  ?

67.

Combination boot for an integrated circuit

      
Numéro d'application 17695630
Numéro de brevet 12223052
Statut Délivré - en vigueur
Date de dépôt 2022-03-15
Date de la première publication 2025-02-11
Date d'octroi 2025-02-11
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Wasserstrom, Barak
  • Cohen, Ori
  • Sinton, Andrew Robert

Abrégé

A boot process for a computing device, such as integrated circuit, includes security features that are inaccessible during certain operation modes. An image including permission to access those security features is received during the boot process and may be verified using one or more keys. In operation, access to the security features is permitted during the operation modes after the image is verified. Such an approach enables a boot process to permit access to certain features after receipt and verification of different images.

Classes IPC  ?

  • H04L 9/08 - Répartition de clés
  • G06F 21/54 - Contrôle des utilisateurs, des programmes ou des dispositifs de préservation de l’intégrité des plates-formes, p. ex. des processeurs, des micrologiciels ou des systèmes d’exploitation au stade de l’exécution du programme, p. ex. intégrité de la pile, débordement de tampon ou prévention d'effacement involontaire de données par ajout de routines ou d’objets de sécurité aux programmes
  • G06F 21/57 - Certification ou préservation de plates-formes informatiques fiables, p. ex. démarrages ou arrêts sécurisés, suivis de version, contrôles de logiciel système, mises à jour sécurisées ou évaluation de vulnérabilité
  • G06F 21/60 - Protection de données
  • G06F 21/76 - Protection de composants spécifiques internes ou périphériques, où la protection d'un composant mène à la protection de tout le calculateur pour assurer la sécurité du calcul ou du traitement de l’information dans les circuits intégrés à application spécifique [ASIC] ou les dispositifs programmables, p. ex. les réseaux de portes programmables [FPGA] ou les circuits logiques programmables [PLD]

68.

Row level security in natural language question answering

      
Numéro d'application 18070086
Numéro de brevet 12223080
Statut Délivré - en vigueur
Date de dépôt 2022-11-28
Date de la première publication 2025-02-11
Date d'octroi 2025-02-11
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Al-Rikabi, Amjad
  • Ash, Stephen Michael
  • Siler, William Michael
  • Haridoss, Rajkumar
  • Patel, Rajesh
  • Yelamali, Kushal

Abrégé

This disclosure describes a natural language question (NLQ) query service within a service provider network that provides row level security (RLS) for autocomplete during entry of NLQs and fuzzy matching in NLQ answering. The rules take the form of per-user predicates such as Tim can only see rows with region=US. In configurations a complex extraction and preprocessing pipeline to extract distinct combinations of values against RLS predicate “rule keys” is used. Those distinct values are indexed along with grouped rule keys to enable pushing down predicates at auto-complete time. This enables pushing part of RLS rule handling to ingestion time of a dataset rather than handling all RLS rule handling at query time, enabling meeting of latency goals. In configurations, a single logical document of unique cell values is split into multiple documents with a subset of rule keys to handle scalability limits.

Classes IPC  ?

  • G06F 16/00 - Recherche d’informationsStructures de bases de données à cet effetStructures de systèmes de fichiers à cet effet
  • G06F 16/242 - Formulation des requêtes
  • G06F 16/2455 - Exécution des requêtes
  • G06F 21/62 - Protection de l’accès à des données via une plate-forme, p. ex. par clés ou règles de contrôle de l’accès
  • G06F 16/13 - Structures d’accès aux fichiers, p. ex. indices distribués

69.

Managing access to sensitive data in transcriptions

      
Numéro d'application 16587800
Numéro de brevet 12223259
Statut Délivré - en vigueur
Date de dépôt 2019-09-30
Date de la première publication 2025-02-11
Date d'octroi 2025-02-11
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Sembium Varadarajan, Varun
  • Bodapati, Sravan Babu
  • Devanira, Deepthi Devaiah
  • Zhao, Pu Paul
  • Kirchhoff, Katrin
  • Yang, Yue

Abrégé

Techniques for managing access to sensitive data in transcriptions are described. A method for managing access to sensitive data in transcriptions may include receiving a request to generate a redacted transcript of content, obtaining a transcript of the content, sending at least a portion of the transcript to a model endpoint to identify sensitive entities in the transcript, receiving an inference response identifying one or more sensitive entities in the transcript, and generating the redacted transcript based at least one the transcript and the inference response.

Classes IPC  ?

  • G06F 40/166 - Édition, p. ex. insertion ou suppression
  • G06F 18/214 - Génération de motifs d'entraînementProcédés de Bootstrapping, p. ex. ”bagging” ou ”boosting”
  • G06F 21/62 - Protection de l’accès à des données via une plate-forme, p. ex. par clés ou règles de contrôle de l’accès
  • G06F 40/279 - Reconnaissance d’entités textuelles
  • G06F 40/30 - Analyse sémantique
  • G06N 20/00 - Apprentissage automatique

70.

Determining a topology for distribution of services using demand aggregation

      
Numéro d'application 17489113
Numéro de brevet 12223521
Statut Délivré - en vigueur
Date de dépôt 2021-09-29
Date de la première publication 2025-02-11
Date d'octroi 2025-02-11
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Pachon, Julian Enrique
  • Anderson, Marc Joseph
  • Kunkulagunta, Bhargav
  • Kabbani, Nader M.
  • Konduri, Karthik Charan

Abrégé

Described are systems and methods directed to determining a topology for the efficient allocation and distribution of a service to customers that are distributed over a geographic area. For example, the topology can facilitate the planning, scheduling, and allocation of resources for the efficient provisioning of services to customers at locations distributed over the geographic area. Certain input parameters and/or constraints associated with the provisioning of the service may be processed to define a cost function that may represent a total cost of providing the service while ensuring that none of the constraints are exceeded. The cost function may be optimized to determine a lowest relative cost for providing the services to the customers using the various mechanisms and/or types of resources, and a topology associated with the optimized cost function can be generated to specify how the service should be provided to satisfy the demand.

Classes IPC  ?

  • G06Q 30/0204 - Segmentation du marché
  • G06N 20/00 - Apprentissage automatique
  • G06Q 10/0631 - Planification, affectation, distribution ou ordonnancement de ressources d’entreprises ou d’organisations
  • G06Q 10/08 - Logistique, p. ex. entreposage, chargement ou distributionGestion d’inventaires ou de stocks
  • G06Q 30/0201 - Modélisation du marchéAnalyse du marchéCollecte de données du marché

71.

Systems and methods for selecting product placement locations and products

      
Numéro d'application 17847775
Numéro de brevet 12223524
Statut Délivré - en vigueur
Date de dépôt 2022-06-23
Date de la première publication 2025-02-11
Date d'octroi 2025-02-11
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Flores Rios, Mauricio Alejandro
  • Hsu, Han-Kai
  • Chen, Yujia
  • Liu, Linda
  • Chaturvedi, Yash

Abrégé

Systems, methods, and computer-readable media are disclosed for determining virtual product placement opportunities in a media content and determining product candidates for virtual insertion into the media content. The product placement system may determine shot segments from the media content and for each shot segment may determine candidate product placement locations. The product placement system may determine contextual information from the shot segments and from the contextual information determine candidate products suitable for the product placement locations. The product placement system may determine total screen time for each product placement opportunity as well as quality of each opportunity. For each product and product placement opportunity, the product placement system may determine an expected revenue and a projected insertion cost.

Classes IPC  ?

  • G06Q 30/00 - Commerce
  • G06Q 30/0242 - Détermination de l’efficacité des publicités
  • G06V 20/40 - ScènesÉléments spécifiques à la scène dans le contenu vidéo
  • H04N 21/81 - Composants mono média du contenu
  • G05B 19/418 - Commande totale d'usine, c.-à-d. commande centralisée de plusieurs machines, p. ex. commande numérique directe ou distribuée [DNC], systèmes d'ateliers flexibles [FMS], systèmes de fabrication intégrés [IMS], productique [CIM]

72.

Techniques for cloud-based privacy controls

      
Numéro d'application 18067533
Numéro de brevet 12224991
Statut Délivré - en vigueur
Date de dépôt 2022-12-16
Date de la première publication 2025-02-11
Date d'octroi 2025-02-11
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Joglekar, Sachin P.
  • Kahsai Azene, Temesghen
  • Vanniarajan, Kadirvel Chockalingam
  • Azrai, Firas
  • Ward, Charles
  • Wheeler, David M.

Abrégé

Systems, devices, and methods are provided for cloud-based privacy controls. User content is encrypted using a content encryption key (CEK). The CEK may be double-encrypted by the data producer—the inner envelope is encrypted using keys associated with privacy domains that are authorized to access the user content. The outer envelope is encrypted using a cloud privacy control's public key. When a data consumer requests access the user content, the cloud privacy control evaluates privacy policies and determine whether access should be permitted. If permitted, the cloud privacy control decrypts the outer envelope and provides the inner envelope with CEK to the requestor. Upon receiving the inner envelope, the data consumer may then decrypt the inner envelope with its privacy domain private key to obtain the CEK. The CEK may then be used to perform a decryption and obtain the user content.

Classes IPC  ?

  • H04L 9/14 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité utilisant plusieurs clés ou algorithmes
  • H04L 9/08 - Répartition de clés
  • H04L 9/30 - Clé publique, c.-à-d. l'algorithme de chiffrement étant impossible à inverser par ordinateur et les clés de chiffrement des utilisateurs n'exigeant pas le secret
  • H04L 9/40 - Protocoles réseaux de sécurité

73.

HOUSE OF DAVID

      
Numéro de série 99031944
Statut En instance
Date de dépôt 2025-02-06
Propriétaire Amazon Technologies, Inc. ()
Classes de Nice  ? 16 - Papier, carton et produits en ces matières

Produits et services

Series of printed books on a variety of topics related to audiovisual entertainment, namely, a series of fiction books on a variety of topics in the nature of entertainment; printed fiction books on a variety of topics in the nature of entertainment; printed non-fiction books on a variety of topics in the nature of entertainment; printed stationery; art prints; printed calendars; printed coloring books; memo pads; note paper; printed notebooks

74.

HIGH-ASSURANCE PRIVATE CERTIFICATE AUTHORITIES

      
Numéro d'application 18923396
Statut En instance
Date de dépôt 2024-10-22
Date de la première publication 2025-02-06
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Freeman, Trevor
  • Sharma, Param
  • Cignetti, Todd

Abrégé

Approaches presented herein relate to the management of secure secrets, such as digital certificates. When an operation is performed by a certificate authority (CA) with respect to a digital certificate, information for the operation is written to a blockchain (or other distributed and verifiable ledger) in addition to a secure database accessible to the CA. The ability of an external party to access the blockchain and independently verify information about a digital certificate can help to increase a level or assurance in the integrity of the CA, which can be important when an entity wants to act as (or offer) their own private certificate authority. Information in the blockchain can also help to identify “dark” certificates, which may appear valid but were not issued by a CA using a valid and secure process, and thus can be identified by a lack of valid transactions included in the corresponding blockchain.

Classes IPC  ?

  • H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
  • H04L 9/00 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité

75.

HOUSE OF DAVID

      
Numéro de série 99031942
Statut En instance
Date de dépôt 2025-02-06
Propriétaire Amazon Technologies, Inc. ()
Classes de Nice  ? 09 - Appareils et instruments scientifiques et électriques

Produits et services

Pre-recorded video recordings featuring dramatic entertainment programs and music; pre-recorded and downloadable audio and visual recordings featuring dramatic entertainment programs and music; motion picture films featuring dramatic entertainment programs and music; pre-recorded audio and visual recordings in optical discs, DVD and CD format featuring dramatic entertainment programs and music

76.

JUICE & JAVA BY WHOLE FOODS MARKET

      
Numéro de série 99029243
Statut En instance
Date de dépôt 2025-02-05
Propriétaire AMAZON TECHNOLOGIES, INC. ()
Classes de Nice  ?
  • 35 - Publicité; Affaires commerciales
  • 43 - Services de restauration (alimentation); hébergement temporaire

Produits et services

Retail store services featuring prepackaged foods, beverages, and snacks Café services; Coffee bar services; Juice bar services; Restaurant services; Take-out restaurant services; Snack bar services

77.

JUICE & JAVA BY WHOLE FOODS MARKET

      
Numéro d'application 237792300
Statut En instance
Date de dépôt 2025-02-04
Propriétaire Amazon Technologies, Inc. (USA)
Classes de Nice  ?
  • 35 - Publicité; Affaires commerciales
  • 43 - Services de restauration (alimentation); hébergement temporaire

Produits et services

(1) Retail store services featuring prepackaged foods, beverages, and snacks (2) Café services; coffee bar services; juice bar services, restaurant services, take-out restaurant services, snack bar services

78.

Enhanced self-closing lid for containers

      
Numéro d'application 17899558
Numéro de brevet 12214956
Statut Délivré - en vigueur
Date de dépôt 2022-08-30
Date de la première publication 2025-02-04
Date d'octroi 2025-02-04
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Hager, Joseph C.
  • Gottschalk, Claire

Abrégé

A container may include a cargo bay for holding items; a lid able to slide between a closed position to an open position relative to the cargo bay; a check strap operatively connected to the lid and able to move vertically in a first direction toward the lid as the lid slides from the closed position to the open position, and to move vertically in a second direction opposite the first direction as the lid slides from the open position to the closed position; and arms operatively attached to rollers and to one or more tension devices, wherein when the check strap moves vertically in the first direction, the check strap separates the rollers and causes the arms to pull the one or more tension devices, and wherein when the check strap moves vertically in the second direction, the one or more tension devices cause second rotation of the arms.

Classes IPC  ?

  • B60P 3/00 - Véhicules adaptés pour transporter, porter ou comporter des charges ou des objets spéciaux
  • B65D 88/12 - Grands réceptacles rigides spécialement conçus pour le transport
  • B65D 90/00 - Parties constitutives, détails ou accessoires des grands réceptacles

79.

Autonomous mobile robots having vertical height extension systems for augmented visibility

      
Numéro d'application 17742818
Numéro de brevet 12215009
Statut Délivré - en vigueur
Date de dépôt 2022-05-12
Date de la première publication 2025-02-04
Date d'octroi 2025-02-04
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Martin, Tim
  • Bozkaya, Dincer
  • Brady, Matthew Anthony
  • Clem, William
  • Dietz, Timothy G.
  • Hebert, Gabriel
  • Pajevic, Dragan

Abrégé

Autonomous mobile robots having vertical height extension systems for augmented visibility may include a drive mechanism, a lift mechanism, and a vertical height extension including an extension mechanism and a vertical indicator. The vertical height extension may be actively or passively actuated between lowered and raised positions. In addition, the vertical height extension may include a breakaway feature to prevent raising or cause lowering of the vertical indicator in the presence of a payload above the robot. Further, the vertical height extension may include various actuators, emitters, or elements to communicate various attributes of the robot to human associates in proximity, thereby promoting safe, collaborative operations.

Classes IPC  ?

  • B66F 9/06 - Dispositifs pour lever ou descendre des marchandises volumineuses ou lourdes aux fins de chargement ou de déchargement se déplaçant, avec leurs charges, sur des roues ou sur un dispositif analogue, p. ex. chariots élévateurs à fourche
  • B66F 9/065 - Dispositifs pour lever ou descendre des marchandises volumineuses ou lourdes aux fins de chargement ou de déchargement se déplaçant, avec leurs charges, sur des roues ou sur un dispositif analogue, p. ex. chariots élévateurs à fourche sans mâts
  • B66F 9/075 - Caractéristiques de construction ou détails
  • B66F 9/18 - Moyens pour saisir ou maintenir la charge

80.

Computer-implemented methods for machine learning model based spatial-temporal adaptive shift for end-to-end text-video retrieval

      
Numéro d'application 18188420
Numéro de brevet 12216709
Statut Délivré - en vigueur
Date de dépôt 2023-03-22
Date de la première publication 2025-02-04
Date d'octroi 2025-02-04
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Xie, Ning
  • Li, Han
  • Chen, Qipin
  • Chen, Yuan
  • Wang, Lingyun

Abrégé

Techniques for performing a machine learning model based spatial-temporal adaptive shift for end-to-end text-video retrieval are described. According to some examples, a computer-implemented method includes receiving a video comprising a plurality of frames at a content delivery service; generating, by the content delivery service, a set of embeddings for each of a plurality of sections of each frame of the plurality of frames; determining, by a candidate selector machine learning model of the content delivery service, a proper subset of the plurality of sections of each frame of the plurality of frames for a time shift based on the set of embeddings; time shifting, by the content delivery service, the proper subset of the plurality of sections of each frame of the plurality of frames to generate time shifted frames; generating, by the content delivery service, an updated set of embeddings based on the time shifted frames; receiving a search request comprising input text from a user device; determining the video is a match for the search request based on the input text and the updated set of embeddings for the time shifted frames; and sending the video to the user device based on the match.

Classes IPC  ?

  • G06F 16/78 - Recherche de données caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement
  • G06F 16/783 - Recherche de données caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des métadonnées provenant automatiquement du contenu
  • G06T 1/00 - Traitement de données d'image, d'application générale
  • G06V 10/70 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique
  • H04N 21/232 - Opération de récupération de contenu au sein d'un serveur, p. ex. lecture de flux vidéo du réseau de disques

81.

Computer system-based pausing and resuming of natural language conversations

      
Numéro d'application 18583663
Numéro de brevet 12216963
Statut Délivré - en vigueur
Date de dépôt 2024-02-21
Date de la première publication 2025-02-04
Date d'octroi 2025-02-04
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Fotedar, Shiveesh
  • Rathi, Saurabh
  • Bishop, Steven

Abrégé

Techniques for computer system-based conversations are described. In an example, a system receives, from a first device, first data corresponding to a first interaction in a conversation that requests a function. The system causes the first device to output a first response to the first interaction. Prior to an execution of the function, the system determines that the conversation is to be paused and causes the first device to output a first indication that the conversation is paused. Upon determining that the conversation is to be resumed, the system causes a second device to output a second indication that the conversation is resumed. The second device can be the same or different from the first device. The system receives, from the second device, second data corresponding to a second interaction in the conversation and causes the execution of the function based at least in part on the second data.

Classes IPC  ?

  • G06F 3/16 - Entrée acoustiqueSortie acoustique
  • G06F 3/0481 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] fondées sur des propriétés spécifiques de l’objet d’interaction affiché ou sur un environnement basé sur les métaphores, p. ex. interaction avec des éléments du bureau telles les fenêtres ou les icônes, ou avec l’aide d’un curseur changeant de comportement ou d’aspect
  • G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p. ex. dialogue homme-machine

82.

Allocating blocks of unified memory for integrated circuit executing neural network

      
Numéro d'application 17306745
Numéro de brevet 12217160
Statut Délivré - en vigueur
Date de dépôt 2021-05-03
Date de la première publication 2025-02-04
Date d'octroi 2025-02-04
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Ko, Jung
  • Duong, Kenneth
  • Teig, Steven L.
  • Rhee, Won

Abrégé

Some embodiments provide a method that receives a specification of a neural network for execution by an integrated circuit. The integrated circuit includes a neural network inference circuit for executing the neural network to generate an output based on an input, an input processing circuit for providing the input to the neural network inference circuit, a microprocessor circuit for controlling the neural network inference circuit and the input processing circuit, and a unified memory accessible by the microprocessor circuit, the neural network inference circuit, and the input processing circuit. The method determines usage of the unified memory by the neural network inference circuit while executing the neural network. Based on the determined usage by the neural network inference circuit, the method allocates portions of the unified memory to the microprocessor circuit and input processing circuit.

Classes IPC  ?

  • G06N 3/063 - Réalisation physique, c.-à-d. mise en œuvre matérielle de réseaux neuronaux, de neurones ou de parties de neurone utilisant des moyens électroniques
  • G06N 3/048 - Fonctions d’activation

83.

Device targeting for content

      
Numéro d'application 17547664
Numéro de brevet 12217749
Statut Délivré - en vigueur
Date de dépôt 2021-12-10
Date de la première publication 2025-02-04
Date d'octroi 2025-02-04
Propriétaire AMAZON TECHNOLOGIES, INC. (USA)
Inventeur(s)
  • Anand, Ratika
  • Hua, Zhen
  • Hajela, Trisha
  • Chang, Evan Victor
  • Vasella, Tom

Abrégé

Devices and techniques are generally described for targeting of devices. In various examples, a first natural language input comprising a first request to output a response may be received by an input device. A first component may determine first data associated with the input device. A plurality of devices associated with the first data may be determined. First state data describing a state of each device of the plurality of devices may be determined. A first device of the plurality of devices may be determined as a target device for the first request based at least in part on the first state data. The first device may be different from the input device. First instructions may be sent to the first device effective to cause the first device to display the first visual content.

Classes IPC  ?

  • G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p. ex. dialogue homme-machine
  • G06F 3/14 - Sortie numérique vers un dispositif de visualisation
  • G06F 3/16 - Entrée acoustiqueSortie acoustique
  • G10L 15/18 - Classement ou recherche de la parole utilisant une modélisation du langage naturel

84.

Player spotlight

      
Numéro d'application 17305127
Numéro de brevet 12217770
Statut Délivré - en vigueur
Date de dépôt 2021-06-30
Date de la première publication 2025-02-04
Date d'octroi 2025-02-04
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Ravindranathan, Lokesh Amarnath
  • Nandy, Kaustav
  • Sethu, Manivel
  • Wu, Yongjun
  • Khan, Imran
  • Agarwal, Shivam
  • Pandya, Yash

Abrégé

Some implementations include methods generating visualization emphasis object for players and may include receiving a video clip associated with a sporting event participated by a plurality of players using a playing field with a play object. The players in a frame of the video clip may be detected. Players who are on the playing field may be identified from the detected players. Each of the players identified to be on the playing field may be associated with a rectangular bounding box that provides an outline of each of the players. A player who has possession of the play object may be identified. A visualization emphasis object may be generated and placed on the player who has possession of the play object. The visual emphasis object may have a size proportional to height of a bounding box associated with the player having the possession of the play object.

Classes IPC  ?

  • G11B 27/036 - Montage par insertion
  • G06T 7/70 - Détermination de la position ou de l'orientation des objets ou des caméras
  • G06T 11/00 - Génération d'images bidimensionnelles [2D]
  • G06V 10/22 - Prétraitement de l’image par la sélection d’une région spécifique contenant ou référençant une formeLocalisation ou traitement de régions spécifiques visant à guider la détection ou la reconnaissance
  • G06V 20/40 - ScènesÉléments spécifiques à la scène dans le contenu vidéo
  • G06V 40/10 - Corps d’êtres humains ou d’animaux, p. ex. occupants de véhicules automobiles ou piétonsParties du corps, p. ex. mains

85.

Image signal processor day-night detection

      
Numéro d'application 17940604
Numéro de brevet 12219264
Statut Délivré - en vigueur
Date de dépôt 2022-09-08
Date de la première publication 2025-02-04
Date d'octroi 2025-02-04
Propriétaire AMAZON TECHNOLOGIES, INC. (USA)
Inventeur(s) Pawlik, Bartlomiej

Abrégé

Approaches are described for image signal processor day-night detection. An exemplary approach for a camera with an infrared light source involves determining a brightness value for image data based on an average luma value for the image data, determining white balance data for the first image data, and determining, based on the white balance data for the image data and white balance data for the infrared light source, a deviation value for the image data. A transition from night mode to day mode can be effected based on comparing the brightness value for the image data to a first threshold, and comparing the deviation value for the image data to a second threshold.

Classes IPC  ?

  • H04N 23/71 - Circuits d'évaluation de la variation de luminosité
  • H04N 9/77 - Circuits pour le traitement l'un par rapport à l'autre des signaux de luminance et de chrominance, p. ex. ajustement de la phase du signal de luminance par rapport au signal de couleur, correction différentielle du gain ou de la phase
  • H04N 23/72 - Combinaison de plusieurs commandes de compensation
  • H04N 23/88 - Chaînes de traitement de la caméraLeurs composants pour le traitement de signaux de couleur pour l'équilibrage des couleurs, p. ex. circuits pour équilibrer le blanc ou commande de la température de couleur

86.

Low-power long range wireless network communication protocol with rate switching and scheduled messaging

      
Numéro d'application 17867590
Numéro de brevet 12219478
Statut Délivré - en vigueur
Date de dépôt 2022-07-18
Date de la première publication 2025-02-04
Date d'octroi 2025-02-04
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Wong, Chiu Ngok Eric
  • Barton, Robert
  • Bhat, Uttam
  • Khan, Muhammad Sharifuzzaman

Abrégé

A method for a first network device involves transmitting, to one or more second network devices, an uplink message that includes an indication of a receive window time interval, and may also include an indication of a request for a downlink message. The method also involves initiating a scheduled receive mode that causes the first network device to transition the first network device to a first power state, and perform a receive window procedure after the receive window time interval has elapsed. The receive window procedure includes transitioning the first network device to a second power state and listening for the downlink message for a duration of time. The method further involves determining that an expiration condition has been met while the first network device is in the scheduled receive mode. Additionally, the method involves terminating the scheduled receive mode upon determining that the expiration condition has been met.

Classes IPC  ?

  • H04W 52/02 - Dispositions d'économie de puissance
  • H04L 1/18 - Systèmes de répétition automatique, p. ex. systèmes Van Duuren
  • H04W 72/21 - Canaux de commande ou signalisation pour la gestion des ressources dans le sens ascendant de la liaison sans fil, c.-à-d. en direction du réseau
  • H04W 72/23 - Canaux de commande ou signalisation pour la gestion des ressources dans le sens descendant de la liaison sans fil, c.-à-d. en direction du terminal
  • H04W 76/28 - Transmission discontinue [DTX]Réception discontinue [DRX]

87.

Electronic device

      
Numéro d'application 29872159
Numéro de brevet D1060308
Statut Délivré - en vigueur
Date de dépôt 2023-03-07
Date de la première publication 2025-02-04
Date d'octroi 2025-02-04
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Paterson, Michael Edward James
  • Mcwilliam, Giles David Matthew

88.

AWS HEALTHLAKE

      
Numéro de série 99028498
Statut En instance
Date de dépôt 2025-02-04
Propriétaire Amazon Technologies, Inc. ()
Classes de Nice  ?
  • 35 - Publicité; Affaires commerciales
  • 38 - Services de télécommunications
  • 42 - Services scientifiques, technologiques et industriels, recherche et conception

Produits et services

Provision of business statistical information in the medical, pharmaceutical and healthcare industries; data collection services for business purposes in the field healthcare; systemization, management, collating and compilation of data and information into computer databases for business purposes in the field healthcare; compilation of statistics relating to healthcare for business or commercial purposes Electronic transmission of medical information and patient data in a healthcare setting, using application program interfaces (API), fast healthcare interoperability resources (FHIR) and non-FHIR standards, consolidated clinical document architecture (CCDA), applications; provision of platforms and portals for electronic transmission of medical data between among healthcare providers and patients; electronic data exchange services, namely, electronic exchange of medical records and billing across a health information network; electronic data transmission; data transfer by telecommunications services; electronic exchange of data stored in databases accessible via telecommunication networks; electronic data exchange and transfer of information and services for the healthcare, pharmaceutical and medical industries Software as a service (SAAS) services featuring software machine learning and artificial intelligence machine learning models for use in the field of healthcare; software as a service (SAAS) services featuring software development tools in the fields of machine learning, deep learning and artificial intelligence for use in the field of healthcare; software as a service (SAAS) services featuring software for database management in the healthcare industry; software as a service (SAAS) services, namely, software for the collection, migration mapping, analysis, conversion, and reporting of healthcare and medical data; application service provider featuring application programming interface (API) software for integration of healthcare services databases and medical billing databases; analysis and evaluation of software for managing, storing, analyzing, maintaining, processing, structuring, reviewing, building, editing, distributing, communicating, organizing, sharing, referencing, monitoring and integrating healthcare information; technology services, namely, IT integration services related to computer devices, computer systems, software and software as a service (SAAS) in the healthcare field

89.

System and methods for detecting pathogens using multi-wavelength sensing

      
Numéro d'application 17354710
Numéro de brevet 12216053
Statut Délivré - en vigueur
Date de dépôt 2021-06-22
Date de la première publication 2025-02-04
Date d'octroi 2025-02-04
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Shverdin, Miro Yakov
  • Karicherla, Annapurna
  • Gimenez, Carla Alejandra

Abrégé

Systems and methods for testing a biological sample for each of two or more target pathogens employ fluorescence detection from a single fluorescence reading chamber. A method of testing a biological sample for each of two or more target pathogens includes forming a detection cycle liquid by combining detection cycle compounds with a biological sample liquid formed from a biological sample. The detection cycle compounds include respective CRISPR enzymes for each of the two or more target pathogens. The respective CRISPR enzymes are tagged with respective spectrally unique fluorescent probes. The detection cycle liquid is exposed to a multi-wavelength fluorescence excitation light. A multi-wavelength fluorescence light emission detection signal indicative of intensity of fluorescence light emitted by the detection cycle liquid over multiple wavelengths is processed to generate detection data indicative of presence or absence of each of the two or more target pathogens in the biological sample.

Classes IPC  ?

  • G01N 1/00 - ÉchantillonnagePréparation des éprouvettes pour la recherche
  • C12Q 1/70 - Procédés de mesure ou de test faisant intervenir des enzymes, des acides nucléiques ou des micro-organismesCompositions à cet effetProcédés pour préparer ces compositions faisant intervenir des virus ou des bactériophages
  • G01N 21/64 - FluorescencePhosphorescence

90.

Dynamic hardware card thermal adaptation

      
Numéro d'application 17548376
Numéro de brevet 12216514
Statut Délivré - en vigueur
Date de dépôt 2021-12-10
Date de la première publication 2025-02-04
Date d'octroi 2025-02-04
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Klein, Robert
  • Harel, Ziv

Abrégé

A hardware card that can be implemented in a server system is disclosed. The hardware card may be, for instance, a network interface card coupled to a board such as a motherboard or backplane in a computing system. In various instances, the hardware card reports a temperature to a management controller on the board (e.g., a baseboard management controller) that is adjusted due to thermal degradation of the hardware card. For example, the temperature output by the hardware card may be adjusted based on a comparison of a current temperature profile (including transient temperature of the hardware card) to a predetermined temperature profile stored on the hardware card.

Classes IPC  ?

  • G06F 1/20 - Moyens de refroidissement
  • G05B 19/4155 - Commande numérique [CN], c.-à-d. machines fonctionnant automatiquement, en particulier machines-outils, p. ex. dans un milieu de fabrication industriel, afin d'effectuer un positionnement, un mouvement ou des actions coordonnées au moyen de données d'un programme sous forme numérique caractérisée par le déroulement du programme, c.-à-d. le déroulement d'un programme de pièce ou le déroulement d'une fonction machine, p. ex. choix d'un programme

91.

Enhancing i/o performance using in-memory reservation state caching at block storage services

      
Numéro d'application 18478349
Numéro de brevet 12216592
Statut Délivré - en vigueur
Date de dépôt 2023-09-29
Date de la première publication 2025-02-04
Date d'octroi 2025-02-04
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Pinhas, Barak
  • Guetta, Hen
  • Friedman, Alex

Abrégé

A thread of a storage server determines that a command to modify a reservation record which comprises access permissions of an object stored at the server has been received. A version of the record is stored in an in-memory cache. The thread acquires a first lock associated with the record in exclusive mode, and a second lock in shared mode. The thread reads the cached version, constructs a modified version indicated in the command, and releases the second lock without updating the cache. After entries representing the modified version are stored in an operations journal, the thread acquires the second lock in exclusive mode and updates the cache. The thread then releases both locks. An indication that the command has succeeded is provided without verifying that the second version is stored at a metadata store.

Classes IPC  ?

  • G06F 12/14 - Protection contre l'utilisation non autorisée de mémoire
  • G06F 12/12 - Commande de remplacement

92.

Thrashing detection and avoidance for a tiered data processing service

      
Numéro d'application 17710476
Numéro de brevet 12216653
Statut Délivré - en vigueur
Date de dépôt 2022-03-31
Date de la première publication 2025-02-04
Date d'octroi 2025-02-04
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Sreekanthan, Induja
  • Subramanian, Sriram
  • Papathanasiou, Athanasios
  • Prabhakaran, Vijayan

Abrégé

Methods for improving performance of tiered storage of a data processing service by detecting and reducing thrashing of data blocks between warm and cold storage tiers are disclosed. In order to understand the frequency of hits by incoming queries to data blocks that are not currently stored in the warm storage tier, the elapsed time between query hits to the respective data blocks may be tracked using timers. Times below a given amount of time may be used to indicate thrashing. For example, recently evicted data blocks that are subsequently hit by a query within a short amount of time since eviction may indicate thrashing. In scenarios in which thrashing may be occurring, a threshold corresponding to the number of times a given data block in the cold storage tier receives a query hit before being added to the warm storage tier may be turned on.

Classes IPC  ?

  • G06F 15/16 - Associations de plusieurs calculateurs numériques comportant chacun au moins une unité arithmétique, une unité programme et un registre, p. ex. pour le traitement simultané de plusieurs programmes
  • G06F 16/2453 - Optimisation des requêtes

93.

Secure monitors for memory page protection

      
Numéro d'application 17710489
Numéro de brevet 12216921
Statut Délivré - en vigueur
Date de dépôt 2022-03-31
Date de la première publication 2025-02-04
Date d'octroi 2025-02-04
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Tsidon, Erez
  • Cohen, Ori
  • Wasserstrom, Barak
  • Sinton, Andrew Robert
  • Modelevsky, Asaf
  • Raz, Moshe

Abrégé

Technologies are disclosed for using hardware-embedded monitors to monitor pages of local memory and detect attribute violations or other unauthorized operations relating to the memory. The attribute violations may include mismatches of attributes (e.g., designating a page as writeable versus executable or vice versa) in entries in a translation buffer that point to a same physical address or other mismatches between designations of attributes for a page in physical and virtual space. Responsive to detecting a violation, an alert or other mitigation protocol, which may include an audit of activities surrounding the violation, may be performed.

Classes IPC  ?

  • G06F 3/06 - Entrée numérique à partir de, ou sortie numérique vers des supports d'enregistrement

94.

Meta-Q learning

      
Numéro d'application 17039447
Numéro de brevet 12217137
Statut Délivré - en vigueur
Date de dépôt 2020-09-30
Date de la première publication 2025-02-04
Date d'octroi 2025-02-04
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Fakoor, Rasool
  • Smola, Alexander Johannes
  • Soatto, Stefano
  • Chaudhari, Pratik Anil

Abrégé

Techniques for Meta-Q-Learning (MQL) are described. A method of MQL may include receiving a request from an agent to perform adaptation based at least on task data associated with a new task collected by the agent, identifying a subset of meta-training data corresponding to the task data in a replay buffer, and adapting a policy using the subset of meta-training data and the task data to generate an adapted policy, wherein the adapted policy is used identify a next action for the agent to perform.

Classes IPC  ?

95.

Systems and methods for automated modification of delivery parameters

      
Numéro d'application 18066704
Numéro de brevet 12217211
Statut Délivré - en vigueur
Date de dépôt 2022-12-15
Date de la première publication 2025-02-04
Date d'octroi 2025-02-04
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Bellamy, Matthew Kenneth
  • Nibhoria, Manoj
  • Rock, Brian Michael
  • Wong, Charlton
  • Shakouri, Mohammad Reza
  • Canal, Christopher William

Abrégé

Systems and methods are provided for automated modification of delivery parameters. Particularly, computing model that is trained to determine a probability that a delivery defect is likely to occur for a given delivery or set of deliveries. Based on the probability, various limitations associated with the deliveries may be activated or deactivated on a mobile device application used by a delivery driver to perform the deliveries. The systems and methods reduce the number of delivery defects that occur while simultaneously reducing the use of unnecessary guardrails for low-risk deliveries. The model may be queried in real-time such that guardrails for a delivery itinerary may be optimized prior to the delivery driver beginning the delivery route.

Classes IPC  ?

  • G06Q 10/0835 - Relations entre l’expéditeur ou le fournisseur et les transporteurs
  • G06N 20/00 - Apprentissage automatique

96.

Techniques for preserving original luma with noisy clamped sources

      
Numéro d'application 17851942
Numéro de brevet 12217392
Statut Délivré - en vigueur
Date de dépôt 2022-06-28
Date de la première publication 2025-02-04
Date d'octroi 2025-02-04
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s) Waggoner, Charles Benjamin

Abrégé

Techniques are disclosed for correcting noisy clamped image sources while preserving original luma, chroma, or other channel value. A computing device can receive an image that has a plurality of pixels associated with respective channel values. The computing device can then determine a region of the image for correction and generate a histogram of the respective channel values in the region. Based on the histogram, the computing device can generate a corrected histogram of corrected channel values. The computing device can then denoise the corrected channel values.

Classes IPC  ?

  • G06T 5/40 - Amélioration ou restauration d'image utilisant des techniques d'histogrammes
  • G06T 5/70 - DébruitageLissage
  • G06T 7/90 - Détermination de caractéristiques de couleur
  • G06V 10/22 - Prétraitement de l’image par la sélection d’une région spécifique contenant ou référençant une formeLocalisation ou traitement de régions spécifiques visant à guider la détection ou la reconnaissance
  • G06V 10/50 - Extraction de caractéristiques d’images ou de vidéos en effectuant des opérations dans des blocs d’imagesExtraction de caractéristiques d’images ou de vidéos en utilisant des histogrammes, p. ex. l’histogramme de gradient orienté [HoG]Extraction de caractéristiques d’images ou de vidéos en utilisant l’addition des valeurs d’intensité d’imageAnalyse de projection

97.

Determining a location of a mobile cart

      
Numéro d'application 17490446
Numéro de brevet 12217457
Statut Délivré - en vigueur
Date de dépôt 2021-09-30
Date de la première publication 2025-02-04
Date d'octroi 2025-02-04
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Miranda Artacho, Bruno
  • Kulathumani, Vinod Krishnan
  • Sadanand, Sreemanananth

Abrégé

This disclosure is directed to, in part, mobile carts that are configured to determine their respective locations based on analysis of image data generated by cameras mounted to the respective carts. For instance, an example mobile cart may include at least one camera of a field-of-view directed substantially away from a cart and substantially towards an outward environment of the cart, such as toward an inventory location that houses one or more items. The mobile cart may generate image data representative of items housed at an inventory location adjacent to the cart and may use computer-vision techniques to analyze the image data and determine characteristics of these items. The mobile cart may then use this information to determine which section of multiple sections of a store in which the cart is currently located.

Classes IPC  ?

  • G06T 7/73 - Détermination de la position ou de l'orientation des objets ou des caméras utilisant des procédés basés sur les caractéristiques
  • G06F 18/20 - Analyse
  • G06F 18/214 - Génération de motifs d'entraînementProcédés de Bootstrapping, p. ex. ”bagging” ou ”boosting”
  • G06V 10/70 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique
  • G06V 30/19 - Reconnaissance utilisant des moyens électroniques

98.

System to generate high precision optical tag with gradient features at the corners

      
Numéro d'application 17936839
Numéro de brevet 12217461
Statut Délivré - en vigueur
Date de dépôt 2022-09-29
Date de la première publication 2025-02-04
Date d'octroi 2025-02-04
Propriétaire AMAZON TECHNOLOGIES, INC. (USA)
Inventeur(s) Sorgi, Lorenzo

Abrégé

A high precision optical tag includes gradient features at the corners. The gradient features transition from a darker pattern proximal to the corner of the tag to a lighter pattern distal to the corner. The gradient facilitates rapid and computationally efficient determination of the corners of the optical tag at high resolution, such as to a pixel-level within an image. Once the corners of the optical tag are precisely identified, a boundary of the tag may be determined. In one implementation, with the precise information about the corners and boundary of the optical tag in the image, a pose of the camera relative to the optical tag may be determined.

Classes IPC  ?

  • G06T 7/13 - Détection de bords
  • G06K 7/14 - Méthodes ou dispositions pour la lecture de supports d'enregistrement par radiation électromagnétique, p. ex. lecture optiqueMéthodes ou dispositions pour la lecture de supports d'enregistrement par radiation corpusculaire utilisant la lumière sans sélection des longueurs d'onde, p. ex. lecture de la lumière blanche réfléchie
  • G06K 19/06 - Supports d'enregistrement pour utilisation avec des machines et avec au moins une partie prévue pour supporter des marques numériques caractérisés par le genre de marque numérique, p. ex. forme, nature, code
  • G06T 7/73 - Détermination de la position ou de l'orientation des objets ou des caméras utilisant des procédés basés sur les caractéristiques
  • G06T 7/90 - Détermination de caractéristiques de couleur

99.

Managing and routing payloads for client edge devices that use multiple types of radios

      
Numéro d'application 17219644
Numéro de brevet 12218832
Statut Délivré - en vigueur
Date de dépôt 2021-03-31
Date de la première publication 2025-02-04
Date d'octroi 2025-02-04
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Huang, Rongsheng
  • Liu, Jungtao
  • Tian, Hongbo
  • Ye, Yinghua

Abrégé

A multi-radio service of a provider network may be used to manage and route payloads for client edge devices that use multiple types of radios. The multi-radio service may associate different types of radio controllers with an edge device of a client, so that messages that are transmitted from different types of edge device radios can be handled by different radio controllers. A radio controller may receive a message and extract the payload from the message based on the data/data format specific to the radio protocol used to transmit the message. When a client-owned cloud application sends a payload to an edge device, the multi-radio service may select, based on criteria (e.g., fastest data transmission), the radio of the edge device from multiple available radios. The corresponding radio controller may then generate and send a message to the selected radio of the edge device (e.g., via a corresponding gateway).

Classes IPC  ?

  • H04L 45/00 - Routage ou recherche de routes de paquets dans les réseaux de commutation de données
  • H04L 45/24 - Routes multiples
  • H04L 45/44 - Routage distribué
  • H04W 12/06 - Authentification
  • H04W 40/06 - Sélection d'itinéraire ou de voie de communication, p. ex. routage basé sur l'énergie disponible ou le chemin le plus court sur la base des ressources nodales sans fil sur la base des caractéristiques des antennes disponibles

100.

Ethernet traffic over scalable reliable datagram protocol

      
Numéro d'application 16712589
Numéro de brevet 12218841
Statut Délivré - en vigueur
Date de dépôt 2019-12-12
Date de la première publication 2025-02-04
Date d'octroi 2025-02-04
Propriétaire Amazon Technologies, Inc. (USA)
Inventeur(s)
  • Shalev, Leah
  • Machulsky, Georgy Zorik
  • Desantis, Peter Nicholas
  • Bshara, Nafea
  • Ilany, Omer

Abrégé

Methods and apparatuses for improving network packet transmission performance in terms of latency with reduced packet retransmission times and fewer packet drops in congested networks are provided. Packet-switched networks can experience long delays while waiting for out-of-order packets or re-transmissions of lost packets. In addition, network faults such as transmission path failures can result in excessive delay while attempting to find a new route over which to transmit packets. To improve packet transmission performance, application data may be encapsulated into first network packets by a first transport protocol having an interface exposed to the application, in the first network packets may be encapsulated into second network packets according to a second transport protocol. The second transport protocol can enable the second network packets of a same packet flow to be transmitted across multiple paths over the network.

Classes IPC  ?

  • H04L 47/10 - Commande de fluxCommande de la congestion
  • H04L 41/0816 - Réglages de configuration caractérisés par les conditions déclenchant un changement de paramètres la condition étant une adaptation, p. ex. en réponse aux événements dans le réseau
  • H04L 43/0829 - Perte de paquets
  • H04L 69/16 - Implémentation ou adaptation du protocole Internet [IP], du protocole de contrôle de transmission [TCP] ou du protocole datagramme utilisateur [UDP]
  • H04L 69/163 - Adaptation dans la bande de l'échange de données TCPProcédures de commande intra-bande
  1     2     3     ...     100        Prochaine page