09 - Appareils et instruments scientifiques et électriques
38 - Services de télécommunications
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Computer hardware and downloadable software for use in
tracking, monitoring, analyzing, and managing physical
operations in the field of transporting, storing,
installing, tracking, monitoring, processing, and analyzing
business assets, resources, inventory, and materials;
computer hardware and downloadable software for use in
accessing, tracking, processing, analyzing, and reporting
vehicle telematics data; computer hardware and downloadable
software for sensors for determining position, velocity,
acceleration, and temperature data; computer hardware and
downloadable software for use in tracking, analyzing, and
reporting on driver productivity, workflow, compliance,
safety, efficiency, training, and risk management; computer
hardware and downloadable software for use in vehicle fleet
tracking, monitoring, compliance, dispatch, workflow,
maintenance, efficiency, sustainability, and risk
management; computer hardware and downloadable software for
business premises and physical asset tracking and
monitoring; computer hardware and downloadable software for
freight tracking, monitoring, and management; computer
hardware and downloadable software for receiving and
transmitting data via wireless Internet connectivity;
computer hardware and downloadable software for video camera
recording and image processing for vehicles and business
premises; computer hardware and downloadable software for
machine learning to process and analyze video images,
vehicle telematics data, driver data, and sensor data to
provide actionable insights for managing safety, efficiency,
and security for physical operations in the field of
transporting, storing, installing, tracking, monitoring,
processing, and analyzing business assets, resources,
inventory, and materials; downloadable mobile applications
for providing an integrated platform for tracking,
monitoring, analyzing, and managing physical operations in
the field of transporting, storing, installing, tracking,
monitoring, processing, and analyzing business assets,
resources, inventory, and materials. Transmission of information by electronic communications
networks; transmission of information via computers
connected to the same telematic network; communication
services, namely, providing electronic transmission of
information stored in a database via interactively
communicating computer systems. Software as a service (SaaS) services featuring software for
providing an integrated platform for tracking, monitoring,
analyzing, and managing physical operations in the field of
transporting, storing, installing, tracking, monitoring,
processing, and analyzing business assets, resources,
inventory, and materials; software as a service (SaaS)
services featuring software for accessing, tracking,
processing, analyzing, and reporting vehicle telematics
data; software as a service (SaaS) services featuring
software for driver productivity, workflow, compliance,
safety, efficiency, training, and risk management; software
as a service (SaaS) services featuring software for vehicle
fleet tracking, monitoring, compliance, dispatch, workflow,
maintenance, efficiency, sustainability, and risk
management; software as a service (SaaS) services featuring
software for business premises and physical asset tracking
and monitoring; software as a service (SaaS) services
featuring software for freight tracking, monitoring, and
management; software as a service (SaaS) services featuring
software for processing and analyzing video images, vehicle
telematics data, driver data, and sensor data to provide
actionable insights for managing safety, efficiency, and
security for physical operations in the field of
transporting, storing, installing, tracking, monitoring,
processing, and analyzing business assets, resources,
inventory, and materials.
Systems, methods, and non-transitory computer-readable media for a remote vehicle immobilizer. A network gateway device receives a command from a remote computing device to modify a configuration of an electronic switch from a first configuration to a second configuration. The electronic switch is positioned in a conducting path between a starter motor of the vehicle and a battery of the vehicle. In response to receiving the command, the network gateway device transmits a signal to the electronic switch via a two-way communication channel connecting the network gateway device to the electronic switch. The signal causes the electronic switch to modify the configuration of the electronic switch from the first configuration to the second configuration.
H04W 4/48 - Services spécialement adaptés à des environnements, à des situations ou à des fins spécifiques pour les véhicules, p. ex. communication véhicule-piétons pour la communication dans le véhicule
B60R 25/045 - Équipements ou systèmes pour empêcher ou signaler l’usage non autorisé ou le vol de véhicules agissant sur des systèmes ou des équipements de véhicules, p. ex. sur les portes, les sièges ou les pare-brises agissant sur le système de propulsion, p. ex. le moteur ou le moteur d’entraînement en limitant ou en coupant l’alimentation électrique du système de propulsion
B60R 25/20 - Moyens pour enclencher ou arrêter le système antivol
G07C 5/02 - Enregistrement ou indication du temps de circulation, de fonctionnement, d'arrêt ou d'attente uniquement
H04W 4/021 - Services concernant des domaines particuliers, p. ex. services de points d’intérêt, services sur place ou géorepères
H04W 68/00 - Avertissement aux utilisateurs, p. ex. alerte ou messagerie, sur l'arrivée d'une communication, un changement de service ou similaires
Techniques are presented for enabling vehicle immobilization based on location. One method includes providing a user interface to configure immobilization settings. The vehicle is configured for threat detection, and a data structure is created to define locations where immobilization is enabled. A Behavioral Monitoring System (BMS) prepares and sends a hierarchical map structure to the vehicle's communication device, which determines when to immobilize the vehicle based on its location. The communication device and engine immobilizer are installed in the vehicle. Continuous monitoring for tampering and jamming is performed, and upon detection, the method checks if geographic locking is enabled. If geographic locking is enabled, the vehicle is immobilized according to configuration rules, and the BMS is notified. The immobilization process can be ended based on predefined configuration parameters, such as a time interval, recovery of GPS signal, or driver notification.
B60R 25/33 - Détection relative au vol ou autres événements relatifs aux systèmes antivol de la géo-localisation, p. ex. en fournissant les coordonnées de géo-localisation (GPS)
B60R 25/04 - Équipements ou systèmes pour empêcher ou signaler l’usage non autorisé ou le vol de véhicules agissant sur des systèmes ou des équipements de véhicules, p. ex. sur les portes, les sièges ou les pare-brises agissant sur le système de propulsion, p. ex. le moteur ou le moteur d’entraînement
H04W 4/029 - Services de gestion ou de suivi basés sur la localisation
An improved system and method of defining speeding severity levels, receiving over a wireless network from a vehicle device speed data and metadata, determining associated speeding severity levels, based at least in part on the determined associated speeding severity levels, determining whether an alert communication is to be transmitted the vehicle device, and in response to determining that an alert communication is to be transmitted the vehicle device, transmitting the alert communication via a wireless interface to the vehicle device, the alert communication configured to cause the vehicle device to provide a corresponding in-vehicle alert.
B60W 50/14 - Moyens d'information du conducteur, pour l'avertir ou provoquer son intervention
B60W 40/02 - Calcul ou estimation des paramètres de fonctionnement pour les systèmes d'aide à la conduite de véhicules routiers qui ne sont pas liés à la commande d'un sous-ensemble particulier liés aux conditions ambiantes
H04W 4/44 - Services spécialement adaptés à des environnements, à des situations ou à des fins spécifiques pour les véhicules, p. ex. communication véhicule-piétons pour la communication entre véhicules et infrastructures, p. ex. véhicule à nuage ou véhicule à domicile
5.
Gateway system with multiple modes of operation in a fleet management system
A method is disclosed that includes the step of: responsive to determining, based on input data, that a gateway system is receiving power from a power source of a mobile asset and the mobile asset is not in-use, transitioning the gateway system from a first mode to a second mode, wherein transitioning comprises turning on a functionality of the gateway system that is turned off when the gateway system is operating in the first mode.
H04W 4/38 - Services spécialement adaptés à des environnements, à des situations ou à des fins spécifiques pour la collecte d’informations de capteurs
G01R 19/165 - Indication de ce qu'un courant ou une tension est, soit supérieur ou inférieur à une valeur prédéterminée, soit à l'intérieur ou à l'extérieur d'une plage de valeurs prédéterminée
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
G06F 1/3287 - Économie d’énergie caractérisée par l'action entreprise par la mise hors tension d’une unité fonctionnelle individuelle dans un ordinateur
G06Q 10/08 - Logistique, p. ex. entreposage, chargement ou distributionGestion d’inventaires ou de stocks
G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules
H04W 4/02 - Services utilisant des informations de localisation
Techniques are presented for the detection and management of collision warning (CW) events. A training dataset comprising videos of vehicle collisions and non-collisions, sensor readings, environmental conditions, and more is utilized to train a CW classification model for detecting potential collision events in vehicles. A backend CW classification model, with greater computational resources, employs a more complex neural network to review CW events received by the Behavioral Monitoring System (BMS) based on video data, achieving higher precision and reducing false positives. The CW model is installed in vehicles for real-time detection, while the backend model is deployed at the BMS. The BMS validates detected CW events, filters out false positives, and streamlines the review process for fleet administrators and customers. Additional BMS filtering operations include assessing non-proximity-related CW events and camera impairments, with the filtered CW events presented for review in the safety inbox.
G06V 20/40 - ScènesÉléments spécifiques à la scène dans le contenu vidéo
B60Q 9/00 - Agencement ou adaptation des dispositifs de signalisation non prévus dans l'un des groupes principaux
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
G06V 10/776 - ValidationÉvaluation des performances
G06V 10/94 - Architectures logicielles ou matérielles spécialement adaptées à la compréhension d’images ou de vidéos
G06V 20/58 - Reconnaissance d’objets en mouvement ou d’obstacles, p. ex. véhicules ou piétonsReconnaissance des objets de la circulation, p. ex. signalisation routière, feux de signalisation ou routes
7.
Automatic training assignment based on operator behavior
Methods, systems, and computer programs are presented for the assignment of courses based on driver behavior. One method includes monitoring driver behavior and analyzing reported events to generate course recommendations. These recommendations are based on configurable rules set by a fleet manager. A safety inbox user interface (UI) allows for the review of events and the assignment of one or more courses to a driver. The method further includes recording the assigned course as pending, notifying the driver, updating the driver application to reflect the course requirement, detecting course completion by the driver, and updating the Safety Behavior Management System (BMS) with the course completion record. This systematic approach ensures that drivers are aware of and complete necessary educational courses to improve driving safety and adherence to fleet standards.
B60W 50/14 - Moyens d'information du conducteur, pour l'avertir ou provoquer son intervention
B60W 40/08 - Calcul ou estimation des paramètres de fonctionnement pour les systèmes d'aide à la conduite de véhicules routiers qui ne sont pas liés à la commande d'un sous-ensemble particulier liés aux conducteurs ou aux passagers
8.
Monitoring the safe distance between vehicles while driving
Methods, systems, and computer programs are presented for monitoring tailgating when a vehicle follows another vehicle at an unsafe distance. A method for enhancing a Following Distance (FD) machine learning (ML) model is disclosed. The method includes providing a management user interface (UI) for configuring FD parameters, followed by receiving FD events. A UI for manual FD annotation and another for customer review of filtered FD events are also provided. Annotations and customer review information are collected to improve the training set for the FD ML model. The FD model is then trained with the new data and downloaded to a vehicle. Once installed, the FD model is utilized to detect FD events within the vehicle, thereby enhancing the vehicle's safety and performance in driving scenarios by improving the accuracy and reliability of FD event predictions or detections.
G06T 7/50 - Récupération de la profondeur ou de la forme
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
G06V 10/94 - Architectures logicielles ou matérielles spécialement adaptées à la compréhension d’images ou de vidéos
G06V 20/40 - ScènesÉléments spécifiques à la scène dans le contenu vidéo
G06V 20/58 - Reconnaissance d’objets en mouvement ou d’obstacles, p. ex. véhicules ou piétonsReconnaissance des objets de la circulation, p. ex. signalisation routière, feux de signalisation ou routes
H04N 7/18 - Systèmes de télévision en circuit fermé [CCTV], c.-à-d. systèmes dans lesquels le signal vidéo n'est pas diffusé
Disclosed are systems, methods, and non-transitory computer-readable media for customized vehicle operator workflows. A vehicle operator workflow includes a set of tasks to be completed by a vehicle operator. The vehicle operator workflow may be presented to the vehicle operator upon satisfaction of a triggering event, such as upon the vehicle operator logging into an account or the vehicle entering a specified geographic region. The vehicle operator workflow may enable the vehicle operator to complete the individual tasks as well as submit evidence that the tasks have been completed.
B60W 40/08 - Calcul ou estimation des paramètres de fonctionnement pour les systèmes d'aide à la conduite de véhicules routiers qui ne sont pas liés à la commande d'un sous-ensemble particulier liés aux conducteurs ou aux passagers
G06F 9/30 - Dispositions pour exécuter des instructions machines, p. ex. décodage d'instructions
H04W 4/021 - Services concernant des domaines particuliers, p. ex. services de points d’intérêt, services sur place ou géorepères
H04W 4/029 - Services de gestion ou de suivi basés sur la localisation
10.
Multi-task machine learning model for event detection
A computer-implemented method for machine learning model operation can include, by one or more processors executing program instructions: providing a first training dataset comprising a plurality of images and associated object detection labels, providing a second training dataset comprising a plurality of images and associated classification labels, and providing a machine learning model comprising a model backbone, an object detection task head, and a classification task head. The method can further include training the machine learning model by training the object detection task head using the first training dataset and training the classification task head using the second training dataset. The method can further include deploying the trained machine learning model that includes the trained model backbone and the trained object detection task head but does not include the trained classification task head.
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
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
Systems and methods are described for determining a peripheral's location based on observations from a plurality of centrals. A central may periodically transmit its location and observations of peripherals to a backend. The backend may match the location of the central with one or more observations of a peripheral to estimate a location of the peripheral. The backend may receive observations of the same peripheral from a plurality of centrals. The backend may aggregate estimated locations to triangulate a more precise location of the peripheral.
G01S 5/02 - Localisation par coordination de plusieurs déterminations de direction ou de ligne de positionLocalisation par coordination de plusieurs déterminations de distance utilisant les ondes radioélectriques
G01S 5/14 - Localisation par coordination de plusieurs déterminations de direction ou de ligne de positionLocalisation par coordination de plusieurs déterminations de distance utilisant les ondes radioélectriques déterminant des distances absolues à partir de plusieurs points espacés d'emplacement connu
Methods, systems, and programs are presented for detecting impaired views in monitoring cameras. One method includes training a rotation classifier with unsupervised learning utilizing a first set of images. The rotation classifier is configured to receive an input image and generate a rotation feature embedding for the input image. In addition, the method includes training an impairment classifier with supervised learning utilizing a second set of images, impairment labels for each of the second set of images, and the rotation feature embedding, generated by the rotation classifier, for each of the second set of images. The method further includes accessing a vehicle image captured by a camera on a vehicle, and providing the vehicle image to the impairment classifier as input, and the impairment classifier outputs a camera impairment from a set of camera impairment categories. Further, the vehicle image and the camera impairment are presented on a user interface.
G06V 20/56 - Contexte ou environnement de l’image à l’extérieur d’un véhicule à partir de capteurs embarqués
G06T 3/60 - Rotation d’images entières ou de parties d'image
G06V 10/44 - Extraction de caractéristiques locales par analyse des parties du motif, p. ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersectionsAnalyse de connectivité, p. ex. de composantes connectées
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
13.
Rolling encryption and authentication in a low power physical asset tracking system
Systems and methods are described for transmitting broadcasts by Peripherals, receiving the broadcasts by Centrals, and communicating with a Backend by Centrals. Specifically, a Peripheral may generate and transmit an encrypted broadcast packet to a Central, the Central may transmit the encrypted observation information to the Backend, which may decrypt the broadcast packet. Additionally, a Central may transmit a request for authorization to connect to a Peripheral to the Backend. If authorized by the Backend, the Central may connect to the Peripheral. Further, a Central may receive a plurality of broadcasts over a period of time. The Central may store information about the broadcasts and, at the conclusion of the period of time, transmit the information about the broadcasts and the last-received broadcast to the Backend.
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 9/06 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité l'appareil de chiffrement utilisant des registres à décalage ou des mémoires pour le codage par blocs, p. ex. système DES
An air quality notification system to perform operations that include: causing a sensor device to sample an air quality associated with a location at a predefined sampling interval; determining, at the sensor device, that a value corresponding with the air quality sampled by the sensor device transgresses a threshold value; causing the sensor device to transmit an alert to a server system responsive to the determining that the value corresponding with the air quality transgresses a threshold value; and causing the server system to present a notification at a client device responsive to the sensor device transmitting the alert, the notification including at least a display of an identifier associated with the location.
G01N 33/00 - Recherche ou analyse des matériaux par des méthodes spécifiques non couvertes par les groupes
H04L 67/12 - Protocoles spécialement adaptés aux environnements propriétaires ou de mise en réseau pour un usage spécial, p. ex. les réseaux médicaux, les réseaux de capteurs, les réseaux dans les véhicules ou les réseaux de mesure à distance
15.
Refining issue detection across a fleet of physical assets
A management server system may obtain sensor data generated by a plurality of sensors from a plurality of gateway devices. The sensor data may be associated with a plurality of physical assets. The management server system may generate a user interface for display by a user computing device based on the sensor data. The user interface may include visualizations of the plurality of physical assets and filters. The management server system can obtain a selection of a filter from the user computing device. Based on the selection of the filter, the management server system may filter the sensor data to identify a portion of sensor data. The management server system can filter the plurality of physical assets to identify a portion of the physical assets associated with the portion of sensor data. The management server system may generate a user interface including visualizations of the portion of physical assets.
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
The technology disclosed herein enables configuration and sharing of a coverage map which displays asset data. In various implementations, an asset owner provides access to select portions of asset data, such as vehicle performance data, to an end-user. The asset owner configures a coverage map to display the selected data according to the type of asset data to be displayed, the scope of the data to be displayed, and other map attributes. Once configured, a URL is generated which the fleet operator provides to the end-user.
Methods for performing operations for improving driver safety across a fleet of vehicles are disclosed. A plurality of safety events pertaining to a driving of a fleet of vehicles by a plurality of drivers are detected. A subset of the events is identified. The subset corresponds to one or more safety events of the plurality of safety events involving one or more vehicles of the fleet of vehicles to which drivers have not been assigned. A user interface is generated for presentation on a client device, the user interface including an interactive user interface element for accessing the subset of the events. One or more user interface elements are provided for accepting or rejecting recommendations for assignments of one of the plurality of drivers to each of the vehicles. The recommendations are generated based on an application of a machine-learned model to images of faces captured.
G06T 7/73 - Détermination de la position ou de l'orientation des objets ou des caméras utilisant des procédés basés sur les caractéristiques
G06V 20/59 - Contexte ou environnement de l’image à l’intérieur d’un véhicule, p. ex. concernant l’occupation des sièges, l’état du conducteur ou les conditions de l’éclairage intérieur
G06V 40/16 - Visages humains, p. ex. parties du visage, croquis ou expressions
18.
Low power mode for cloud-connected on-vehicle gateway device
A system receives vehicle metric data from a gateway device connected to a vehicle via a network connection. In a first power mode, the vehicle gateway device gathers vehicle metric data related to operation of the vehicle and/or location data and sends requested vehicle metric data to the system. Based on a lack of input, the vehicle gateway device enters a standby power mode to reduce the power consumption of the vehicle gateway device. The vehicle gateway device reduces the power consumption by reducing activity of the vehicle gateway device. Instead of reinitiating a network connection periodically to receive requests for vehicle metric data from the system, the vehicle gateway device maintains the network connection by sending keep alive messages between the vehicle gateway device and the system. The system uses the maintained network connection to request vehicle metric data.
G06F 1/3287 - Économie d’énergie caractérisée par l'action entreprise par la mise hors tension d’une unité fonctionnelle individuelle dans un ordinateur
G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules
H04W 4/40 - Services spécialement adaptés à des environnements, à des situations ou à des fins spécifiques pour les véhicules, p. ex. communication véhicule-piétons
Disclosed are systems, methods, and non-transitory computer-readable media for managing diagnostics and malfunctions of a vehicle. A route management system detects an event representing an improper operation of an electronic logging device (ELD) of a vehicle; in response to detecting the event: generates, for display, a notification representing the event to a driver of the vehicle; retrieves instructions for resolving the improper operation of the ELD; presents the instructions as part of the notification; and coordinates communicating the event and resolution status of the event to a fleet manager of the vehicle.
G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente
G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules
A system receives historical vehicle battery data from a gateway device connected to a vehicle. Some vehicles with plug-in rechargeable batteries recommend/require that the vehicle computer be turned off when recharging. Thus, obtaining a current state of charge while a vehicle is charging can be difficult because the vehicle computer can be off. While the vehicle/gateway device is unable to transmit current battery data, the systems estimate a battery charge from the historical data.
B60L 58/12 - Procédés ou agencements de circuits pour surveiller ou commander des batteries ou des piles à combustible, spécialement adaptés pour des véhicules électriques pour la surveillance et la commande des batteries en fonction de l'état de charge [SoC]
B60L 53/62 - Surveillance et commande des stations de charge en réponse à des paramètres de charge, p. ex. courant, tension ou charge électrique
B60W 50/14 - Moyens d'information du conducteur, pour l'avertir ou provoquer son intervention
Methods, systems, and computer programs are presented for immobilizing a vehicle based on the detection of threats, such as tampering or jamming. The method includes configuring a vehicle for tamper and jamming detection, installing a communication device and an engine immobilizer in the vehicle, and providing a user interface for configuring the communication device to activate the engine immobilizer. The method further includes parallel paths for tampering detection, which immobilizes the vehicle and notifies the server upon detection, and for jamming detection, which similarly immobilizes the vehicle and notifies the server, including the vehicle's GPS position. Optionally, image information from the vehicle may be included in the notification or to trigger immobilization upon detecting multiple occupants, indicating a potential carjacking. This solution enables fleet managers to react to thefts and maximize vehicle recovery rates quickly.
B60R 25/045 - Équipements ou systèmes pour empêcher ou signaler l’usage non autorisé ou le vol de véhicules agissant sur des systèmes ou des équipements de véhicules, p. ex. sur les portes, les sièges ou les pare-brises agissant sur le système de propulsion, p. ex. le moteur ou le moteur d’entraînement en limitant ou en coupant l’alimentation électrique du système de propulsion
B60R 25/30 - Détection relative au vol ou autres événements relatifs aux systèmes antivol
B60R 25/33 - Détection relative au vol ou autres événements relatifs aux systèmes antivol de la géo-localisation, p. ex. en fournissant les coordonnées de géo-localisation (GPS)
G01S 19/39 - Détermination d'une solution de navigation au moyen des signaux émis par un système de positionnement satellitaire à radiophares le système de positionnement satellitaire à radiophares transmettant des messages horodatés, p. ex. GPS [Système de positionnement global], GLONASS [Système mondial de satellites de navigation] ou GALILEO
In various implementations, an asset gateway service receives log messages comprising asset data captured by a gateway device associated with an asset. The log messages each include a first identifier corresponding to a first representation of the gateway device, which itself is associated with a first organization. The service persists data from the log to a first datastore accessible by the first organization. The service also determines whether a second representation of the gateway device (i.e., a clone) exists. If so, the service persists at least some of the data from the log message to a second datastore, which itself may be associated with a second organization, thereby allowing both organizations to access the data in a secure yet convenient manner.
G06F 16/00 - Recherche d’informationsStructures de bases de données à cet effetStructures de systèmes de fichiers à cet effet
G06F 16/27 - Réplication, distribution ou synchronisation de données entre bases de données ou dans un système de bases de données distribuéesArchitectures de systèmes de bases de données distribuées à cet effet
23.
Vehicle gateway device and interactive cohort graphical user interfaces associated therewith
A system receives vehicle metric data from a gateway device connected to a vehicle. The vehicle gateway device gathers data related to operation of the vehicle and/or location data. The system receives data from multiple vehicles and multiple fleets. The system uses machine learning to identify cohorts for fleets. The system calculates metrics for fleets and benchmarks for the cohorts. The system presents the metrics and benchmarks in a graphical user interface.
G06F 18/243 - Techniques de classification relatives au nombre de classes
G07C 5/02 - Enregistrement ou indication du temps de circulation, de fonctionnement, d'arrêt ou d'attente uniquement
G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente
G07C 5/12 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente sous forme de graphique
G08G 1/00 - Systèmes de commande du trafic pour véhicules routiers
G08G 1/01 - Détection du mouvement du trafic pour le comptage ou la commande
G08G 1/127 - Systèmes de commande du trafic pour véhicules routiers indiquant la position de véhicules, p. ex. de véhicules à horaire déterminé à une station centrale
Techniques are presented to provide an event review dashboard. One method relates to a user interface (UI) for the event review dashboard that provides customers with a comprehensive view of their event engagement over time. The UI includes interactive elements, information fields, and filters to assist in the analysis and review of customer actions in response to behavioral events detected in vehicles. These actions may include coaching or dismissal. The UI provides filters for date range selection, customer selection, dismissal rate visualization, and minimum event thresholds, enabling customers to assess the relevance and effectiveness of specific event types and their coaching program performance. Additionally, the UI also includes a table and panel for detailed analysis of event dismissal by type and direct access to dismissed event details. The UI is designed for ease of use and efficient analysis, with feedback mechanisms to improve the AI model learning process.
G06V 20/59 - Contexte ou environnement de l’image à l’intérieur d’un véhicule, p. ex. concernant l’occupation des sièges, l’état du conducteur ou les conditions de l’éclairage intérieur
G06F 3/0482 - Interaction avec des listes d’éléments sélectionnables, p. ex. des menus
G06V 20/56 - Contexte ou environnement de l’image à l’extérieur d’un véhicule à partir de capteurs embarqués
25.
Refining event triggers using machine learning model feedback
A vehicle device may execute one or more neural networks (and/or other artificial intelligence), such as based on input from one or more of the cameras and/or other sensors associated with the dash cam, to intelligently detect safety events in real-time. The vehicle device may further pass the input to a backend server for further analysis and the backend server can detect safety events based on the input. The vehicle device may analyze the output of the vehicle device and the output of the backend server to determine whether the output of the vehicle device is correct. If the output of the vehicle device is incorrect, the vehicle device can adjust how the vehicle device identifies safety events.
G06T 7/73 - Détermination de la position ou de l'orientation des objets ou des caméras utilisant des procédés basés sur les caractéristiques
G06V 20/59 - Contexte ou environnement de l’image à l’intérieur d’un véhicule, p. ex. concernant l’occupation des sièges, l’état du conducteur ou les conditions de l’éclairage intérieur
Disclosed are systems, methods, and non-transitory computer-readable media for route tracking overlapping geofences. A route management system provides for route tracking of overlapping geofences. For example, the route management system tracks the amount of time that a vehicle is within geofence, even when the vehicle has not departed a previous scheduled stop and/or is within multiple overlapping geofences. The route management system determines that the vehicle has arrived at the scheduled stop when the amount of time that the vehicle has been within the geofence encompassing the scheduled stop meets a threshold period of time. As a result, the route management system accurately logs a vehicle as having arrived at multiple scheduled stops that have overlapping geofences.
H04W 4/021 - Services concernant des domaines particuliers, p. ex. services de points d’intérêt, services sur place ou géorepères
G08G 1/00 - Systèmes de commande du trafic pour véhicules routiers
G08G 1/127 - Systèmes de commande du trafic pour véhicules routiers indiquant la position de véhicules, p. ex. de véhicules à horaire déterminé à une station centrale
27.
Cloud based smart alerting system for machine vision system
Machine vision devices may be configured to automatically connect to a remote management server (e.g., a “cloud”-based management server), and may offload and/or communicate images and analyses to the remote management server via wired or wireless communications. The machine vision devices may further communicate with the management server, user computing devices, and/or human machine interface devices, e.g., to provide remote access to the machine vision device, provide real-time information from the machine vision device, receive configurations/updates, provide interactive graphical user interfaces, and/or the like.
Methods for improving compliance with regulations pertaining to vehicle driving records are disclosed. One or more digital images from a camera mounted in a vehicle are received. Based on a determination that the vehicle has hours of service that have not been assigned to a driver, a subset of the one or more digital images corresponding to the hours of service are identified based on the timestamps. The subset of the one or more digital images are processed to identify a correspondence between a face of a person included in the one or more digital images and a face of a known person. Based on the correspondence transgressing a threshold level of correspondence, a user interface is generated for presentation on a device. The user interface includes an interactive user interface element for accepting a recommendation to assign the known person as the driver for the unassigned hours of service.
G06T 7/73 - Détermination de la position ou de l'orientation des objets ou des caméras utilisant des procédés basés sur les caractéristiques
G06V 20/59 - Contexte ou environnement de l’image à l’intérieur d’un véhicule, p. ex. concernant l’occupation des sièges, l’état du conducteur ou les conditions de l’éclairage intérieur
G06V 40/16 - Visages humains, p. ex. parties du visage, croquis ou expressions
Example embodiments described herein therefore relate to an object-model based event detection system that comprises a plurality of sensor devices, to perform operations that include: generating sensor data at the plurality of sensor devices; accessing the sensor data generated by the plurality of sensor devices; detecting an event, or precursor to an event, based on the sensor data, wherein the detected event corresponds to an event category; accessing an object model associated with the event type in response to detecting the event, wherein the object model defines a procedure to be applied by the event detection system to the sensor data; and streaming at least a portion of a plurality of data streams generated by the plurality of sensor devices to a server system based on the procedure, wherein the server system may perform further analysis or visualization based on the portion of the plurality of data streams.
Methods, systems, and computer programs are presented for the management of lane-departure (LD) events. One method includes training a classifier for LD events and loading the classifier into a vehicle. LD events are detected based on outward images using the classifier, while the turn signal is monitored to prevent false triggers. If an LD event is detected, rules are checked for alerting the driver and deciding whether to alert the driver or not. Subsequently, additional rules are checked for reporting the event and deciding whether to report the event to a Behavior Monitoring System (BMS) or to discard it. The method also includes a solid line departure model that identifies crossing dashed, solid-white, and solid-yellow lanes, delaying alerts and event generation until a significant portion of the vehicle crosses over the lane. The model also outputs a confidence score reflecting the amount of vehicle deviation from the driving lane.
G06V 10/776 - ValidationÉvaluation des performances
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
G06V 20/56 - Contexte ou environnement de l’image à l’extérieur d’un véhicule à partir de capteurs embarqués
G06V 20/59 - Contexte ou environnement de l’image à l’intérieur d’un véhicule, p. ex. concernant l’occupation des sièges, l’état du conducteur ou les conditions de l’éclairage intérieur
A driver monitoring system includes internal and external cameras attached to a vehicle. The cameras capture video of the vehicle's driver and the area surrounding the vehicle for later review by a coach or supervisor. To ensure privacy of people who appear in video, portions of the video may be processed to blur faces, license plates, and/or other features. Furthermore, access control mechanisms exist so that only users in specific roles have access to review certain types of video.
G06F 21/00 - Dispositions de sécurité pour protéger les calculateurs, leurs composants, les programmes ou les données contre une activité non autorisée
G06F 21/32 - Authentification de l’utilisateur par données biométriques, p. ex. empreintes digitales, balayages de l’iris ou empreintes vocales
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
G06V 20/40 - ScènesÉléments spécifiques à la scène dans le contenu vidéo
G06V 20/62 - Texte, p. ex. plaques d’immatriculation, textes superposés ou légendes des images de télévision
G06V 40/16 - Visages humains, p. ex. parties du visage, croquis ou expressions
32.
Variable termination in a vehicle communication bus
Disclosed are systems, methods, and non-transitory computer-readable media for variable termination in a vehicle communication bus. To provide compatibility with multiple vehicles, a device may include a software selectable terminator resistor that can be programmatically enabled or disabled to add or remove resistance as needed. For example, the software selectable terminator resistor may be enabled when the device is added as an end node in a high-speed communication bus and operates as a terminator resistor. Alternatively, the software selectable terminator resistor may be disabled when the device is added as an intermediate node positioned between terminator resistors in the high-speed communication bus.
A quick action menu system may be configured to perform operations that include: causing display of a graphical user interface (GUI) at a client device, the GUI comprising a display of a persistent icon at a position within the GUI; receiving a selection of the persistent icon from the client device; accessing user profile data associated with a user of the client device responsive to the input that selects the persistent icon; and causing display of a quick actions menu to display content associated with the user profile data.
H04W 4/021 - Services concernant des domaines particuliers, p. ex. services de points d’intérêt, services sur place ou géorepères
G06F 3/04817 - 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 utilisant des icônes
G06F 3/0482 - Interaction avec des listes d’éléments sélectionnables, p. ex. des menus
Systems and methods are described for connection throttling between peripherals and centrals. Connections may enable bi-directional communication between a peripheral and a central to allow for updates to or configuration of the peripheral. The peripheral can send broadcasts to centrals. The broadcasts may contain metadata indicating a time period since the peripheral last connected to a central, a maximum connection distance, and a transmit power or signal strength indicator. The central may use the transmit power or signal strength indicator to determine a distance from the central to the peripheral and may determine whether the distance is within the maximum connection distance. The central may determine to connect to the peripheral based on time and distance thresholds being satisfied. Upon establishing of a successful connection, the central can update or configure the peripheral.
A system receives vehicle metric data from a gateway device connected to a vehicle. The vehicle gateway device gathers data related to operation of the vehicle and/or location data. The system receives data from multiple vehicles. The vehicle gateway device gathers vehicle metric data and correlates the metric data with location data. The system presents the correlated data in an interactive map graphical user interface.
A method performed by a wireless sensing device to send sensor data to a gateway device using a dynamic connection setting. The method includes establishing a connection with the gateway device, wherein the connection is configured to have a first connection setting that allows for higher data throughput compared to a second connection setting, upon the connection being established, sending backlogged sensor data stored in a data storage of the wireless sensing device to the gateway device over the connection using the first connection setting, configuring the connection to have the second connection setting in response to a determination that the backlogged sensor data has been sent to the gateway device, and sending new sensor data generated after the backlogged sensor data to the gateway device over the connection using the second connection setting.
H04W 4/80 - Services utilisant la communication de courte portée, p. ex. la communication en champ proche, l'identification par radiofréquence ou la communication à faible consommation d’énergie
H04W 84/18 - Réseaux auto-organisés, p. ex. réseaux ad hoc ou réseaux de détection
Example embodiments described herein therefore relate to an event detection system that comprises a plurality of sensor devices, to perform operations that include: generating sensor data at the plurality of sensor devices; accessing the sensor data generated by the plurality of sensor devices; detecting an event, or precursor to an event, based on the sensor data, wherein the detected event corresponds to an event category; accessing an object model associated with the event type in response to detecting the event, wherein the object model defines a procedure to be applied by the event detection system to the sensor data; and streaming at least a portion of a plurality of data streams generated by the plurality of sensor devices to a server system based on the procedure, wherein the server system may perform further analysis or visualization based on the portion of the plurality of data streams.
H04L 67/12 - Protocoles spécialement adaptés aux environnements propriétaires ou de mise en réseau pour un usage spécial, p. ex. les réseaux médicaux, les réseaux de capteurs, les réseaux dans les véhicules ou les réseaux de mesure à distance
G06V 20/40 - ScènesÉléments spécifiques à la scène dans le contenu vidéo
G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules
H04L 41/069 - Gestion des fautes, des événements, des alarmes ou des notifications en utilisant des journaux de notificationsPost-traitement des notifications
41 - Éducation, divertissements, activités sportives et culturelles
Produits et services
Educational services, namely, conducting seminars,
conferences, workshops, and online training in the fields of
technology, Internet of Things (IoT), and Artificial
Intelligence (AI), and distributing course materials in
connection therewith.
An Internet of Things (IoT) or vehicle dash cam may store both a high-resolution and low-resolution video stream on a device. The video streams are selectively accessible by remote devices. Because of the relatively smaller storage requirements of low-resolution video files, retaining of additional video data on the vehicle device (beyond what would be possible with only high-resolution video) is possible. The user may be provided an option to adjust the amount of low-resolution and high-resolution video to store on the device. A combined media file may be generated by a device to include time-synced high-resolution video, low-resolution video, and/or metadata for a particular time period.
H04N 23/951 - Systèmes de photographie numérique, p. ex. systèmes d'imagerie par champ lumineux en utilisant plusieurs images pour influencer la résolution, la fréquence d'images ou le rapport de cadre
B60R 11/04 - Montage des caméras pour fonctionner pendant la marcheDisposition de leur commande par rapport au véhicule
G06F 16/71 - IndexationStructures de données à cet effetStructures de stockage
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
H04N 5/268 - Distribution ou commutation du signal
H04N 23/90 - Agencement de caméras ou de modules de caméras, p. ex. de plusieurs caméras dans des studios de télévision ou des stades de sport
B60R 11/00 - Autres aménagements pour tenir ou monter des objets
09 - Appareils et instruments scientifiques et électriques
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Transmission of information by electronic communications networks; Transmission of information via computers connected to the same telematic network; Communication services, namely, providing electronic transmission of information stored in a database via interactively communicating computer systems Computer hardware and downloadable software for use in tracking, monitoring, analyzing, and managing physical operations in the field of transporting, storing, installing, tracking, monitoring, processing, and analyzing business assets, resources, inventory, and materials; Computer hardware and downloadable software for use in accessing, tracking, processing, analyzing, and reporting vehicle telematics data; Computer hardware and downloadable software for sensors for determining position, velocity, acceleration, and temperature data; Computer hardware and downloadable software for use in tracking, analyzing, and reporting on driver productivity, workflow, compliance, safety, efficiency, training, and risk management; Computer hardware and downloadable software for use in vehicle fleet tracking, monitoring, compliance, dispatch, workflow, maintenance, efficiency, sustainability, and risk management; Computer hardware and downloadable software for business premises and physical asset tracking and monitoring; Computer hardware and downloadable software for freight tracking, monitoring, and management; Computer hardware and downloadable software for receiving and transmitting data via wireless internet connectivity; Computer hardware and downloadable software for video camera recording and image processing for vehicles and business premises; Computer hardware and downloadable software for machine learning to process and analyze video images, vehicle telematics data, driver data, and sensor data to provide actionable insights for managing safety, efficiency, and security for physical operations in the field of transporting, storing, installing, tracking, monitoring, processing, and analyzing business assets, resources, inventory, and materials; Downloadable mobile applications for providing an integrated platform for tracking, monitoring, analyzing, and managing physical operations in the field of transporting, storing, installing, tracking, monitoring, processing, and analyzing business assets, resources, inventory, and materials Software as a service (SAAS) services featuring software for providing an integrated platform for tracking, monitoring, analyzing, and managing physical operations in the field of transporting, storing, installing, tracking, monitoring, processing, and analyzing business assets, resources, inventory, and materials; Software as a service (SAAS) services featuring software for accessing, tracking, processing, analyzing, and reporting vehicle telematics data; Software as a service (SAAS) services featuring software for driver productivity, workflow, compliance, safety, efficiency, training, and risk management; Software as a service (SAAS) services featuring software for vehicle fleet tracking, monitoring, compliance, dispatch, workflow, maintenance, efficiency, sustainability, and risk management; Software as a service (SAAS) services featuring software for business premises and physical asset tracking and monitoring; Software as a service (SAAS) services featuring software for freight tracking, monitoring, and management; Software as a service (SAAS) services featuring software for processing and analyzing video images, vehicle telematics data, driver data, and sensor data to provide actionable insights for managing safety, efficiency, and security for physical operations in the field of transporting, storing, installing, tracking, monitoring, processing, and analyzing business assets, resources, inventory, and materials
A management server in communication with one or more object tracking devices is disclosed. The management server may receive location information, configuration information, and orientation information associated with the one or more object tracking devices. Based at least in part on the location information, the management server may receive weather information associated with the locations of the one or more object tracking devices. Based at least in part on the location information, the weather information, the configuration information, and the orientation information, the management server can determine power generated and power consumed by the one or more object tracking devices, which then can be used to determine estimated operation time for the one or more object tracking devices.
G01S 3/786 - Systèmes pour déterminer une direction ou une déviation par rapport à une direction prédéterminée utilisant le réglage d'une orientation des caractéristiques de directivité d'un détecteur ou d'un système de détecteurs afin d'obtenir une valeur désirée du signal provenant de ce détecteur ou de ce système de détecteurs la valeur désirée étant maintenue automatiquement
F24S 50/20 - Agencements pour commander les collecteurs de chaleur solaire pour le suivi
H02S 20/32 - Structures de support mobiles ou réglables, p. ex. pour réglage de l’angle spécialement adaptées pour le suivi du soleil
An analytics reporting system to perform operations that include: aggregating sensor data collected from a plurality of sensor devices within a database, the sensor data comprising a set of values that correspond with a metric; generating a threshold value based on the set of values that correspond with the metric; accessing a portion of the sensor data based on an identifier associated with the portion of the sensor data; determining the portion of the sensor data transgresses the threshold value; and generating a report that comprises a display of the portion of the sensor data based on the determining that the portion of the sensor data transgresses the threshold value.
G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules
G06F 16/9038 - Présentation des résultats des requêtes
G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente
A method performed by an asset tracking device is disclosed to track an asset. The method comprises receiving, while operating in an extended discontinuous reception mode, a carrier messaging service message from a carrier network, transmitting a connection request to a management server to establish a connection with the management server in response to receiving the carrier messaging service message, receiving, from the management server over the connection, an instruction to use a specified backend check-in schedule until a specified condition is met, and responsive to receiving the instruction, using the specified backend check-in schedule to check in with the management server until the specified condition is met. The method further comprises reverting back to using a default backend check-in schedule to check in with the management server after the specified condition has been met.
Methods, systems, and programs are presented for detecting impaired views in monitoring cameras. One method includes training a rotation classifier with unsupervised learning utilizing a first set of images. The rotation classifier is configured to receive an input image and generate a rotation feature embedding for the input image. In addition, the method includes training an impairment classifier with supervised learning utilizing a second set of images, impairment labels for each of the second set of images, and the rotation feature embedding, generated by the rotation classifier, for each of the second set of images. The method further includes accessing a vehicle image captured by a camera on a vehicle, and providing the vehicle image to the impairment classifier as input, and the impairment classifier outputs a camera impairment from a set of camera impairment categories. Further, the vehicle image and the camera impairment are presented on a user interface.
G06V 20/56 - Contexte ou environnement de l’image à l’extérieur d’un véhicule à partir de capteurs embarqués
G06T 3/60 - Rotation d’images entières ou de parties d'image
G06V 10/44 - Extraction de caractéristiques locales par analyse des parties du motif, p. ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersectionsAnalyse de connectivité, p. ex. de composantes connectées
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
Techniques are presented for detecting when drivers drive while drowsy. In some implementations, a drowsiness model is trained with data associated with inward videos and outward videos captured during a trip. The inward videos capture the inside of the cabin with the driver, and the outward videos capture the view in front of the vehicle in the direction of travel. Further, a device at the vehicle periodically calculates a drowsiness scale index value that indicates the level of drowsiness of the driver. Calculating the drowsiness scale index value includes obtaining a set of inward frames from the inward videos; for each inward frame, creating a face image by cropping the inward frame; obtaining a set of outward frames from the outward videos; calculating inward embeddings of the face images and outward embeddings of the outward frames; and calculating, by the drowsiness model, the drowsiness scale index value.
G06V 20/59 - Contexte ou environnement de l’image à l’intérieur d’un véhicule, p. ex. concernant l’occupation des sièges, l’état du conducteur ou les conditions de l’éclairage intérieur
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
G06V 40/16 - Visages humains, p. ex. parties du visage, croquis ou expressions
46.
Variable multiplexer for vehicle communication bus compatibility
Disclosed are systems, methods, and non-transitory computer-readable media for a variable multiplexer for vehicle communication bus compatibility. A device includes a variable multiplexer that can be electronically configured to a desired pinout configuration to provide compatibility with multiple vehicles. For example, the variable multiplexer may be electronically configured based on a pinout configuration used by the vehicle to connect pins in the device to the corresponding pins on the data link connector that provide the same specified function. The device may therefore use a single standardized cable with vehicles using a variety of pinout configurations.
G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente
G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules
H03M 13/09 - Détection d'erreurs uniquement, p. ex. utilisant des codes de contrôle à redondance cyclique [CRC] ou un seul bit de parité
H04L 67/12 - Protocoles spécialement adaptés aux environnements propriétaires ou de mise en réseau pour un usage spécial, p. ex. les réseaux médicaux, les réseaux de capteurs, les réseaux dans les véhicules ou les réseaux de mesure à distance
47.
Ruggedized open air dual-facing camera with vehicle-mount
A system having a camera assembly and a communication coupling extending from the camera assembly is provided. The camera assembly can include a first enclosure having a first window and a second enclosure having a second window. The second enclosure can be opposite the first enclosure and couple with the first enclosure to form a cavity. The camera assembly can include a port disposed in one of the first enclosure and the second enclosure and a dual-facing camera disposed within the cavity. The dual facing camera can have a first camera facing a first direction and a second camera facing a second direction opposite the first direction. The first camera can align with the first window and the second camera can align with the second window when the dual-facing camera is disposed within the cavity. The communication coupling can couple with the dual-facing camera and extend through the port.
B60R 11/04 - Montage des caméras pour fonctionner pendant la marcheDisposition de leur commande par rapport au véhicule
F16M 11/04 - Moyens pour la fixation des appareilsMoyens permettant le réglage des appareils par rapport au banc
F16M 13/02 - Autres supports ou appuis pour positionner les appareils ou les objetsMoyens pour maintenir en position les appareils ou objets tenus à la main pour être portés par un autre objet ou lui être fixé, p. ex. à un arbre, une grille, un châssis de fenêtre, une bicyclette
G03B 30/00 - Modules photographiques comprenant des objectifs et des unités d'imagerie intégrés, spécialement adaptés pour être intégrés dans d'autres dispositifs, p. ex. des téléphones mobiles ou des véhicules
H04N 7/10 - Adaptations à la transmission par câble électrique
H04N 23/45 - Caméras ou modules de caméras comprenant des capteurs d'images électroniquesLeur commande pour générer des signaux d'image à partir de plusieurs capteurs d'image de type différent ou fonctionnant dans des modes différents, p. ex. avec un capteur CMOS pour les images en mouvement en combinaison avec un dispositif à couplage de charge [CCD] pour les images fixes
H04N 23/54 - Montage de tubes analyseurs, de capteurs d'images électroniques, de bobines de déviation ou de focalisation
Disclosed are systems, methods, and non-transitory computer-readable media for previewing assigned routes. A route management system provides for accessing a route tracking report associated with a vehicle to identify a plurality of routes associated with the vehicle; generating, for display, a graphical user interface (GUI) for navigating through the plurality of routes associated with the vehicle, the graphical user interface comprising a plurality of time period options; receiving input that selects a first time period option from the plurality of time period options; in response to receiving the input, retrieving a first set of routes from the plurality of routes that corresponds to the first time period option; and updating the GUI to display a first portion of the first set of routes in response to receiving the input.
A device orientation calibration system to perform operations that include: accessing inertial measurement unit (IMU) data generated by an IMU mounted upon an object that corresponds with a first reference frame, the IMU data indicating a second reference frame that comprises a Z-axis, a Y-axis, and an X-axis; performing a calibration of the IMU data to align the second reference frame of the IMU with the first reference frame of the object, the performing the calibration comprising: determining a gravitational vector based on a first portion of the IMU data; applying a first rotation to the IMU data to align the Z-axis of the second reference frame with the gravitational vector; determining a forward motion vector based on a second portion of the IMU data; and applying a second rotation to the IMU data to align the X-axis of the second reference frame with the forward motion vector.
G01C 25/00 - Fabrication, étalonnage, nettoyage ou réparation des instruments ou des dispositifs mentionnés dans les autres groupes de la présente sous-classe
G01C 21/16 - NavigationInstruments de navigation non prévus dans les groupes en utilisant des mesures de la vitesse ou de l'accélération exécutées à bord de l'objet navigantNavigation à l'estime en intégrant l'accélération ou la vitesse, c.-à-d. navigation par inertie
50.
Authentication of a gateway device in a sensor network
Methods and systems for offload of data from a wireless sensing device to a gateway device. A certificate that is generated by the management server in response to a determination that the gateway device is associated with a wireless sensing device is received during an initial connection with the management server. In response to confirming, based on the certificate, that the gateway device is authorized to connect to the wireless sensing device, the certificate is transmitted to the wireless sensing device; and data is received from the wireless sensing device in response to confirming that the wireless sensing device is authorized to connect with the gateway device based on the certificate.
H04L 12/66 - Dispositions pour la connexion entre des réseaux ayant différents types de systèmes de commutation, p. ex. passerelles
H04W 4/38 - Services spécialement adaptés à des environnements, à des situations ou à des fins spécifiques pour la collecte d’informations de capteurs
H04W 4/70 - Services pour la communication de machine à machine ou la communication de type machine
H04W 4/80 - Services utilisant la communication de courte portée, p. ex. la communication en champ proche, l'identification par radiofréquence ou la communication à faible consommation d’énergie
H04W 12/02 - Protection de la confidentialité ou de l'anonymat, p. ex. protection des informations personnellement identifiables [PII]
H04W 12/033 - Protection de la confidentialité, p. ex. par chiffrement du plan utilisateur, p. ex. trafic utilisateur
H04W 12/069 - Authentification utilisant des certificats ou des clés pré-partagées
H04W 84/18 - Réseaux auto-organisés, p. ex. réseaux ad hoc ou réseaux de détection
41 - Éducation, divertissements, activités sportives et culturelles
Produits et services
(1) Educational services, namely, conducting seminars, conferences, workshops, and online training in the fields of technology, Internet of Things (IoT), and Artificial Intelligence (AI), and distributing course materials in connection therewith.
A management server in communication with one or more object tracking devices is disclosed. The management server may receive location information, configuration information, and orientation information associated with the one or more object tracking devices. Based at least in part on the location information, the management server may receive weather information associated with the locations of the one or more object tracking devices. Based at least in part on the location information, the weather information, the configuration information, and the orientation information, the management server can determine power generated and power consumed by the one or more object tracking devices, which then can be used to determine estimated operation time for the one or more object tracking devices.
G01S 3/786 - Systèmes pour déterminer une direction ou une déviation par rapport à une direction prédéterminée utilisant le réglage d'une orientation des caractéristiques de directivité d'un détecteur ou d'un système de détecteurs afin d'obtenir une valeur désirée du signal provenant de ce détecteur ou de ce système de détecteurs la valeur désirée étant maintenue automatiquement
F24S 50/20 - Agencements pour commander les collecteurs de chaleur solaire pour le suivi
H02S 20/32 - Structures de support mobiles ou réglables, p. ex. pour réglage de l’angle spécialement adaptées pour le suivi du soleil
53.
Facial recognition technology for improving driver safety
Methods for performing operations for improving driver safety across a fleet of vehicles are disclosed. A plurality of safety events pertaining to a driving of a fleet of vehicles by a plurality of drivers are detected. A subset of the events is identified. The subset corresponds to one or more safety events of the plurality of safety events involving one or more vehicles of the fleet of vehicles to which drivers have not been assigned. A user interface is generated for presentation on a client device, the user interface including an interactive user interface element for accessing the subset of the events. One or more user interface elements are provided for accepting or rejecting recommendations for assignments of one of the plurality of drivers to each of the vehicles. The recommendations are generated based on an application of a machine-learned model to images of faces captured.
G06T 7/73 - Détermination de la position ou de l'orientation des objets ou des caméras utilisant des procédés basés sur les caractéristiques
G06V 20/59 - Contexte ou environnement de l’image à l’intérieur d’un véhicule, p. ex. concernant l’occupation des sièges, l’état du conducteur ou les conditions de l’éclairage intérieur
G06V 40/16 - Visages humains, p. ex. parties du visage, croquis ou expressions
54.
Ensemble neural network state machine for detecting distractions
A vehicle device may execute one or more neural networks (and/or other artificial intelligence), based on input from one or more of the cameras and/or other sensors, to intelligently detect safety events in real-time. The one or more neural networks may be an ensemble neural network that includes neural networks for detecting a head and hand of a user, neural networks for detecting hand actions of the user, neural networks for detecting the head pose of the user, neural networks for predicting an occurrence of an event, and neural networks for predicting a start time and end time of the event. Further, the neural networks can be segmented into a modular neural network based on metadata. The segmentation of the neural network can define a thin layer of the modular neural network to enable independent tuning of the thin layer of the modular neural network.
Disclosed are systems, methods, and non-transitory computer-readable media for a device arrangement to derive unknown portions of a communication data scheme. A proxy node is established in a communication path between two nodes configured to transmit communications according to a communication bus standard. The communication data included in the communications transmitted between the nodes conforms to a communication data scheme. The proxy node logs communications transmitted between the nodes via the communication path, resulting in a communication log. The communication log can then be used to derive unknown portion of the communication data scheme, such as commands for requesting specified data types and the data format for transmitting data of specified data types.
One or more video gateway devices configured to: access pre-configured criteria including at least a first condition, a second condition, and a first event; access video content captured by cameras configured to capture video of areas of a manufacturing facility; determine, based on an analysis of the video content, that the first condition is satisfied; access sensor data from one or more sensors; determine, based on an analysis of the sensor data, that the second condition is satisfied; and based on determining that the first and second conditions are satisfied, cause the first event to be executed.
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
G06V 20/40 - ScènesÉléments spécifiques à la scène dans le contenu vidéo
H04N 7/18 - Systèmes de télévision en circuit fermé [CCTV], c.-à-d. systèmes dans lesquels le signal vidéo n'est pas diffusé
Systems, methods, and non-transitory computer-readable media for a remote vehicle immobilizer. A network gateway device receives a command from a remote computing device to modify a configuration of an electronic switch from a first configuration to a second configuration. The electronic switch is positioned in a conducting path between a starter motor of the vehicle and a battery of the vehicle. In response to receiving the command, the network gateway device transmits a signal to the electronic switch via a two-way communication channel connecting the network gateway device to the electronic switch. The signal causes the electronic switch to modify the configuration of the electronic switch from the first configuration to the second configuration.
B60R 25/20 - Moyens pour enclencher ou arrêter le système antivol
B60R 25/045 - Équipements ou systèmes pour empêcher ou signaler l’usage non autorisé ou le vol de véhicules agissant sur des systèmes ou des équipements de véhicules, p. ex. sur les portes, les sièges ou les pare-brises agissant sur le système de propulsion, p. ex. le moteur ou le moteur d’entraînement en limitant ou en coupant l’alimentation électrique du système de propulsion
G07C 5/02 - Enregistrement ou indication du temps de circulation, de fonctionnement, d'arrêt ou d'attente uniquement
H04W 4/021 - Services concernant des domaines particuliers, p. ex. services de points d’intérêt, services sur place ou géorepères
H04W 4/48 - Services spécialement adaptés à des environnements, à des situations ou à des fins spécifiques pour les véhicules, p. ex. communication véhicule-piétons pour la communication dans le véhicule
H04W 68/00 - Avertissement aux utilisateurs, p. ex. alerte ou messagerie, sur l'arrivée d'une communication, un changement de service ou similaires
58.
Dynamic scheduling of data transmission from internet of things (IOT) devices based on density of IOT devices
A method performed by an Internet of Things (IoT) device is disclosed. The method includes connecting to an access point of a network, transmitting data to a management server via the access point according to a first schedule, wherein the management server is separate from the access point, receiving a configuration parameter from the management server via the access point, wherein the configuration parameter defines a second schedule that is different from the first schedule, and responsive to receiving the configuration parameter transmitting data to the management server via the access point according to the second schedule, wherein the second schedule was determined by the management server such that when the IoT transmits data to the management server according to the second schedule, a number of connections with the access point by IoT devices that occur at a same time does not exceed a threshold number of connections.
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
59.
Electronic device with connector interface for rotating external connector
Aspects discussed herein include an electronic device and an associated connector interface. The electronic device comprises an enclosure that defines an internal volume, a plurality of external surfaces, and a recess from an external surface of the plurality of external surfaces. The recess has circumferential slot(s) extending to the external surface and that receive flange(s) of an external connector. The electronic device further comprises a connector interface connected with one or more electronic components disposed in the internal volume. The connector interface comprises first conductor(s) that are exposed at the recess. While the flange(s) are received in the circumferential slot(s), rotation of the external connector causes the flange(s) to slide within the circumferential slot(s) into a retained position, in which second conductor(s) of the external connector, having a fixed disposition relative to the flange(s), are connected to the first conductor(s).
H05K 5/02 - Enveloppes, coffrets ou tiroirs pour appareils électriques Détails
H01R 24/00 - Dispositifs de couplage en deux pièces, ou l'une des pièces qui coopèrent dans ces dispositifs, caractérisés par leur structure générale
H01R 24/76 - Dispositifs de couplage en deux pièces, ou l'une des pièces qui coopèrent dans ces dispositifs, caractérisés par leur structure générale avec des broches, des pinces ou des contacts analogues, assujettis à l'appareil ou à la structure, p. ex. à une paroi
H01R 24/86 - Contacts parallèles disposés autour d'un axe commun
H05K 7/14 - Montage de la structure de support dans l'enveloppe, sur cadre ou sur bâti
Disclosed are systems, methods, and non-transitory computer-readable media for customized vehicle operator workflows. A vehicle operator workflow includes a set of tasks to be completed by a vehicle operator. The vehicle operator workflow may be presented to the vehicle operator upon satisfaction of a triggering event, such as upon the vehicle operator logging into an account or the vehicle entering a specified geographic region. The vehicle operator workflow may enable the vehicle operator to complete the individual tasks as well as submit evidence that the tasks have been completed.
B60W 40/08 - Calcul ou estimation des paramètres de fonctionnement pour les systèmes d'aide à la conduite de véhicules routiers qui ne sont pas liés à la commande d'un sous-ensemble particulier liés aux conducteurs ou aux passagers
G06F 9/30 - Dispositions pour exécuter des instructions machines, p. ex. décodage d'instructions
H04W 4/021 - Services concernant des domaines particuliers, p. ex. services de points d’intérêt, services sur place ou géorepères
H04W 4/029 - Services de gestion ou de suivi basés sur la localisation
41 - Éducation, divertissements, activités sportives et culturelles
Produits et services
Educational services, namely, conducting seminars, conferences, workshops, and online training in the fields of technology, Internet of Things (IoT), and Artificial Intelligence (AI), and distributing course materials in connection therewith
41 - Éducation, divertissements, activités sportives et culturelles
Produits et services
Educational services, namely, conducting seminars, conferences, workshops, and online training in the fields of technology, Internet of Things (IoT), and Artificial Intelligence (AI), and distributing course materials in connection therewith
63.
ELECTRONIC DEVICE WITH DYNAMICALLY CONFIGURABLE CONNECTOR INTERFACE FOR MULTIPLE EXTERNAL DEVICE TYPES
An electronic device is described that includes an enclosure defining an internal volume and external surfaces, a connector interface comprising a plurality of conductors exposed at an external surface, and a memory and computer processor(s) disposed in the internal volume. The electronic device supports the connection of any one of a plurality of different types of external devices to the connector interface. The computer processor(s) receive, at a first conductor, a signal that distinguishes which one of the plurality of different types of external devices is currently connected to the connector interface. The computer processor(s) access, based on the received signal, a data structure in a storage of the memory that identifies at least one of a plurality of different communication protocols to use. The computer processor(s) assign one or more second conductors to communicate according to the at least one identified communication protocol.
A diagnostic service is selectively started at opportune times, such as when the electrical vehicle is initially plugged in. When the electrical vehicle is turned off, there may not be any messages being sent on the communication bus since most vehicle electronic controllers are disabled to conserve power. But, when someone plugs in a charger, there is a surge of bus traffic for a short period of time. The system parses through the bus traffic and looks for a particular communication bus address. The presence of this address can be used as an indicator for an opportune time to start the diagnostic service to confirm whether the electric vehicle is charging or not and to log the state of charge of the electric vehicle.
B60L 58/12 - Procédés ou agencements de circuits pour surveiller ou commander des batteries ou des piles à combustible, spécialement adaptés pour des véhicules électriques pour la surveillance et la commande des batteries en fonction de l'état de charge [SoC]
B60L 58/16 - Procédés ou agencements de circuits pour surveiller ou commander des batteries ou des piles à combustible, spécialement adaptés pour des véhicules électriques pour la surveillance et la commande des batteries en fonction du vieillissement de la batterie, p. ex. du nombre de cycles de charge ou de l'état de santé [SoH]
B60L 53/126 - Procédés pour associer un véhicule et une station de charge, p. ex. en établissant une relation directe entre un transmetteur d'énergie sans fil et un récepteur d'énergie sans fil
G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules
65.
Dynamic scheduling of data transmission from internet of things (IoT) devices based on density of IoT devices
Methods, systems, and apparatuses include evaluating a possibility of having more than a threshold number of connections with an access point of a network at a same time by multiple IoT devices that access the server through the network. In response to the evaluation, a determination of schedules for IoT devices is performed such that when the IoT devices operate according to the schedules the connections with the access point by the IoT devices that occur at the same time do not exceed the threshold number of connections. Configuration parameters are transmitted to the IoT devices causing the IoT devices to operate according to the schedules.
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
Methods for improving compliance with regulations pertaining to vehicle driving records are disclosed. One or more digital images from a camera mounted in a vehicle are received. Based on a determination that the vehicle has hours of service that have not been assigned to a driver, a subset of the one or more digital images corresponding to the hours of service are identified based on the timestamps. The subset of the one or more digital images are processed to identify a correspondence between a face of a person included in the one or more digital images and a face of a known person. Based on the correspondence transgressing a threshold level of correspondence, a user interface is generated for presentation on a device. The user interface includes an interactive user interface element for accepting a recommendation to assign the known person as the driver for the unassigned hours of service.
G06T 7/73 - Détermination de la position ou de l'orientation des objets ou des caméras utilisant des procédés basés sur les caractéristiques
B60R 11/04 - Montage des caméras pour fonctionner pendant la marcheDisposition de leur commande par rapport au véhicule
G06V 20/59 - Contexte ou environnement de l’image à l’intérieur d’un véhicule, p. ex. concernant l’occupation des sièges, l’état du conducteur ou les conditions de l’éclairage intérieur
G06V 40/16 - Visages humains, p. ex. parties du visage, croquis ou expressions
A vehicle device may execute one or more neural networks (and/or other artificial intelligence), based on input from one or more of the cameras and/or other sensors, to intelligently detect safety events in real-time. The one or more neural networks may be an ensemble neural network that includes neural networks for detecting a head and hand of a user, neural networks for detecting hand actions of the user, neural networks for detecting the head pose of the user, neural networks for predicting an occurrence of an event, and neural networks for predicting a start time and end time of the event. Further, the neural networks can be segmented into a modular neural network based on metadata. The segmentation of the neural network can define a thin layer of the modular neural network to enable independent tuning of the thin layer of the modular neural network.
The technology disclosed herein enables configuration and sharing of a coverage map which displays asset data. In various implementations, an asset owner provides access to select portions of asset data, such as vehicle performance data, to an end-user. The asset owner configures a coverage map to display the selected data according to the type of asset data to be displayed, the scope of the data to be displayed, and other map attributes. Once configured, a URL is generated which the fleet operator provides to the end-user.
An electronic device is described to monitor a temperature of an ambient environment. The electronic device comprises an enclosure that defines an internal volume and a plurality of external surfaces. The enclosure comprises a thermal member exposed to the ambient environment at an opening defined through a first external surface. The thermal member has a greater thermal conductivity than other portions of the enclosure, which have a greater transmissibility of wireless signals than the thermal member. The plurality of external surfaces and the thermal member are disposed to prevent liquids from entering the internal volume. The electronic device further comprises a temperature sensor disposed in the internal volume, thermally contacted with the thermal member, and connected with wireless transmitter circuitry to wirelessly transmit measurements of the temperature of the ambient environment.
A unified asset monitoring portal may be provided by a computing system that is configured to receive asset data from each of a plurality of assets. The asset data may include vehicle data associated with a first plurality of vehicles, trailer data associated with a second plurality of trailers, and/or industrial data associated with a third plurality of industrial equipment. Each of the vehicle data, trailer data, and industrial data may include at least some unique sensor data types.
G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente
G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules
G07C 5/10 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente en utilisant des moyens de comptage ou des compteurs à horloge
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]
Multiple cameras within a vehicle, such as placed at multiple locations inside and/or outside a bus or semi-truck and trailer, may be chained together to provide a consolidated video stream that may be recorded and/or transmitted wirelessly to a cloud storage device. Rather that each of the cameras independently recording and/or streaming video content, each camera may be configured to deserialize an input video to identify video streams from separate cameras (e.g., such as based on associate virtual channel identifiers) and reserialize its own video stream with the other video streams in the received input. The serialized video stream is then transmitted to a next camera in the daisy chain and/or a video storage device.
A system receives vehicle metric data from a gateway device connected to a vehicle. The vehicle gateway device gathers data related to operation of the vehicle and/or location data. The system receives data from multiple vehicles in a fleet. The vehicle gateway device gathers vehicle metric data at a high frequency. Instead of transmitting a large amount of vehicle metric data at a fine level of granularity, the vehicle gateway device aggregates and buckets the vehicle metric data over a period of time (such as, every five minutes). The system uses the bucketed data for fleet management analysis.
G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules
G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente
G07C 5/12 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente sous forme de graphique
G08G 1/00 - Systèmes de commande du trafic pour véhicules routiers
A driver monitoring system includes internal and external cameras attached to a vehicle. The cameras capture video of the vehicle's driver and the area surrounding the vehicle for later review by a coach or supervisor. To ensure privacy of people who appear in video, portions of the video may be processed to blur faces, license plates, and/or other features. Furthermore, access control mechanisms exist so that only users in specific roles have access to review certain types of video.
A map-based notification system configured to perform operations that include: accessing a base-map that comprises a map-tile, the map-tile defining a speed limit of a location; receiving vehicle data that includes speed data; determining that the speed data from the vehicle data transgresses the speed limit associated with the location defined by the map-tile; and causing display of a notification in response to determining that the speed data from the vehicle data transgresses the speed limit associated with the location defined by the map-tile.
A system receives vehicle metric data from a gateway device connected to a vehicle via a network connection. In a first power mode, the vehicle gateway device gathers vehicle metric data related to operation of the vehicle and/or location data and sends requested vehicle metric data to the system. Based on a lack of input, the vehicle gateway device enters a standby power mode to reduce the power consumption of the vehicle gateway device. The vehicle gateway device reduces the power consumption by reducing activity of the vehicle gateway device. Instead of reinitiating a network connection periodically to receive requests for vehicle metric data from the system, the vehicle gateway device maintains the network connection by sending keep alive messages between the vehicle gateway device and the system. The system uses the maintained network connection to request vehicle metric data.
H04W 4/40 - Services spécialement adaptés à des environnements, à des situations ou à des fins spécifiques pour les véhicules, p. ex. communication véhicule-piétons
G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules
G06F 1/3287 - Économie d’énergie caractérisée par l'action entreprise par la mise hors tension d’une unité fonctionnelle individuelle dans un ordinateur
A quick action menu system may be configured to perform operations that include: causing display of a graphical user interface (GUI) at a client device, the GUI comprising a display of a persistent icon at a position within the GUI; receiving a selection of the persistent icon from the client device; accessing user profile data associated with a user of the client device responsive to the input that selects the persistent icon; and causing display of a quick actions menu to display content associated with the user profile data.
H04W 4/021 - Services concernant des domaines particuliers, p. ex. services de points d’intérêt, services sur place ou géorepères
G06F 3/04817 - 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 utilisant des icônes
G06F 3/0482 - Interaction avec des listes d’éléments sélectionnables, p. ex. des menus
A vehicle device may execute one or more neural networks (and/or other artificial intelligence), such as based on input from one or more of the cameras and/or other sensors associated with the dash cam, to intelligently detect safety events in real-time. The vehicle device may further pass the input to a backend server for further analysis and the backend server can detect safety events based on the input. The vehicle device may analyze the output of the vehicle device and the output of the backend server to determine whether the output of the vehicle device is correct. If the output of the vehicle device is incorrect, the vehicle device can adjust how the vehicle device identifies safety events.
G06V 20/59 - Contexte ou environnement de l’image à l’intérieur d’un véhicule, p. ex. concernant l’occupation des sièges, l’état du conducteur ou les conditions de l’éclairage intérieur
G06T 7/73 - Détermination de la position ou de l'orientation des objets ou des caméras utilisant des procédés basés sur les caractéristiques
An improved system and method of selectively transmitting asset data from one or more sensors associated with the vehicle to a backend server, which is configured to analyze the asset data and, if necessary for further analysis of the asset data (e.g., to determine whether a safety event has occurred) and/or to provide actionable data for review by a safety analyst, requests further asset data from a vehicle device.
G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules
G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente
79.
Vehicle gateway device and interactive cohort graphical user interfaces associated therewith
A system receives vehicle metric data from a gateway device connected to a vehicle. The vehicle gateway device gathers data related to operation of the vehicle and/or location data. The system receives data from multiple vehicles and multiple fleets. The system uses machine learning to identify cohorts for fleets. The system calculates metrics for fleets and benchmarks for the cohorts. The system presents the metrics and benchmarks in a graphical user interface.
G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente
G07C 5/12 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente sous forme de graphique
G08G 1/127 - Systèmes de commande du trafic pour véhicules routiers indiquant la position de véhicules, p. ex. de véhicules à horaire déterminé à une station centrale
G07C 5/02 - Enregistrement ou indication du temps de circulation, de fonctionnement, d'arrêt ou d'attente uniquement
G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules
G08G 1/00 - Systèmes de commande du trafic pour véhicules routiers
G06F 18/243 - Techniques de classification relatives au nombre de classes
A system receives historical vehicle battery data from a gateway device connected to a vehicle. Some vehicles with plug-in rechargeable batteries recommend/require that the vehicle computer be turned off when recharging. Thus, obtaining a current state of charge while a vehicle is charging can be difficult because the vehicle computer can be off. While the vehicle/gateway device is unable to transmit current battery data, the systems estimate a battery charge from the historical data.
B60L 58/12 - Procédés ou agencements de circuits pour surveiller ou commander des batteries ou des piles à combustible, spécialement adaptés pour des véhicules électriques pour la surveillance et la commande des batteries en fonction de l'état de charge [SoC]
B60W 50/14 - Moyens d'information du conducteur, pour l'avertir ou provoquer son intervention
B60L 53/62 - Surveillance et commande des stations de charge en réponse à des paramètres de charge, p. ex. courant, tension ou charge électrique
An analytics reporting system to perform operations that include: aggregating sensor data collected from a plurality of sensor devices within a database, the sensor data comprising a set of values that correspond with a metric; generating a threshold value based on the set of values that correspond with the metric; accessing a portion of the sensor data based on an identifier associated with the portion of the sensor data; determining the portion of the sensor data transgresses the threshold value; and generating a report that comprises a display of the portion of the sensor data based on the determining that the portion of the sensor data transgresses the threshold value.
G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules
G06F 16/9038 - Présentation des résultats des requêtes
G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente
In various implementations, an asset gateway service receives log messages comprising asset data captured by a gateway device associated with an asset. The log messages each include a first identifier corresponding to a first representation of the gateway device, which itself is associated with a first organization. The service persists data from the log to a first datastore accessible by the first organization. The service also determines whether a second representation of the gateway device (i.e., a clone) exists. If so, the service persists at least some of the data from the log message to a second datastore, which itself may be associated with a second organization, thereby allowing both organizations to access the data in a secure yet convenient manner.
G06F 16/00 - Recherche d’informationsStructures de bases de données à cet effetStructures de systèmes de fichiers à cet effet
G06F 16/27 - Réplication, distribution ou synchronisation de données entre bases de données ou dans un système de bases de données distribuéesArchitectures de systèmes de bases de données distribuées à cet effet
83.
Facial recognition technology for improving driver safety
Methods for performing operations for improving driver safety across a fleet of vehicles are disclosed. A plurality of safety events pertaining to a driving of a fleet of vehicles by a plurality of drivers are detected. A subset of the events is identified. The subset corresponds to one or more safety events of the plurality of safety events involving one or more vehicles of the fleet of vehicles to which drivers have not been assigned. A user interface is generated for presentation on a client device, the user interface including an interactive user interface element for accessing the subset of the events. One or more user interface elements are provided for accepting or rejecting recommendations for assignments of one of the plurality of drivers to each of the vehicles. The recommendations are generated based on an application of a machine-learned model to images of faces captured.
G06T 7/73 - Détermination de la position ou de l'orientation des objets ou des caméras utilisant des procédés basés sur les caractéristiques
B60R 11/04 - Montage des caméras pour fonctionner pendant la marcheDisposition de leur commande par rapport au véhicule
G06V 20/59 - Contexte ou environnement de l’image à l’intérieur d’un véhicule, p. ex. concernant l’occupation des sièges, l’état du conducteur ou les conditions de l’éclairage intérieur
G06V 40/16 - Visages humains, p. ex. parties du visage, croquis ou expressions
84.
Managing a plurality of physical assets for real time visualizations
A management server system may obtain sensor data generated by a plurality of sensors from a plurality of gateway devices. The sensor data may be associated with a plurality of vehicles. The management server system may identify, for each vehicle of the plurality of vehicles, a subset of the sensor data associated with a particular vehicle. The management server system may generate, in real time, for each vehicle of the plurality of vehicles, a virtual representation of the particular vehicle based on the subset of the sensor data associated with the particular vehicle. The management server system may generate a user interface that includes visualizations of virtual representations of the plurality of vehicles. The management server system may update, in real time, the visualizations of the virtual representations of the plurality of vehicles based on obtaining additional sensor data from the plurality of gateway devices.
G07C 5/12 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente sous forme de graphique
G07C 5/06 - Enregistrement ou indication du temps de circulation, de fonctionnement, d'arrêt ou d'attente uniquement sous forme de graphique
G08G 1/13 - Systèmes de commande du trafic pour véhicules routiers indiquant la position de véhicules, p. ex. de véhicules à horaire déterminé à une station centrale l'indicateur étant sous la forme d'une carte
G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente
A method performed by an electronic device to monitor one or more wheels of a vehicle. The method includes receiving first accelerometer measurements of a first accelerometer mounted on the vehicle's first wheel when the vehicle is moving during an interval of time, determining based on the first accelerometer measurements a first path followed by the first accelerometer when the vehicle is moving during the interval of time, receiving second accelerometer measurements of a second accelerometer mounted on a vehicle's second wheel when the vehicle is moving during the interval of time, determining, based on the second accelerometer measurements, a second path followed by the second accelerometer when the vehicle is moving during the interval of time, and determining based on a comparison of the first path with the second path that at least one of the vehicle's first wheel and the vehicle's second wheel is misaligned.
Disclosed are systems, methods, and non-transitory computer-readable media for variable termination in a vehicle communication bus. To provide compatibility with multiple vehicles, a device may include a software selectable terminator resistor that can be programmatically enabled or disabled to add or remove resistance as needed. For example, the software selectable terminator resistor may be enabled when the device is added as an end node in a high-speed communication bus and operates as a terminator resistor. Alternatively, the software selectable terminator resistor may be disabled when the device is added as an intermediate node positioned between terminator resistors in the high-speed communication bus.
A system receives operations data and determines operations indicator(s) from the operations data. An operator on a manufacturing line reports a downtime event via a human machine interface device. The system receives downtime event and uptime information. The system calculates an operations indicator, such as an overall equipment effectiveness indicator, from the downtime event and uptime information. A user interface of the system includes the operations indicator(s) and visualizations. Some visualizations include a timeline indicating downtime events and other operations events. Additional downtime and uptime information is received by the system in substantially real-time. The system dynamically calculates updated operations indicator(s) from the additional downtime and uptime information.
A management server receives a request to view video content; access a stream of video content corresponding to the request; access and store, in one or more databases, metadata associated with the video content, wherein the metadata includes a plurality of detections and was generated by the video gateway device based on an analysis of the video content and previously uploaded to a remote computing device; generating and causing display of a user interface that includes: the stream of the video content, a seek bar configured to be manipulated by a user so that the user can navigate through the video content, and the metadata overlaid on the seek bar such that the plurality of detections are overlaid at locations on the seek bar corresponding to when the plurality of detections were detected.
G08B 13/196 - Déclenchement influencé par la chaleur, la lumière, ou les radiations de longueur d'onde plus courteDéclenchement par introduction de sources de chaleur, de lumière, ou de radiations de longueur d'onde plus courte utilisant des systèmes détecteurs de radiations passifs utilisant des systèmes de balayage et de comparaison d'image utilisant des caméras de télévision
G06V 20/40 - ScènesÉléments spécifiques à la scène dans le contenu vidéo
89.
Dash cam with artificial intelligence safety event detection
A vehicle dash cam may be configured to execute one or more neural networks (and/or other artificial intelligence), such as based on input from one or more of the cameras and/or other sensors associated with the dash cam, to intelligently detect safety events in real-time. Detection of a safety event may trigger an in-cab alert to make the driver aware of the safety risk. The dash cam may include logic for determining which asset data to transmit to a backend server in response to detection of a safety event, as well as which asset data to transmit to the backend server in response to analysis of sensor data that did not trigger a safety event. The asset data transmitted to the backend server may be further analyzed to determine if further alerts should be provided to the driver and/or to a safety manager.
G06V 20/56 - Contexte ou environnement de l’image à l’extérieur d’un véhicule à partir de capteurs embarqués
B60W 40/08 - Calcul ou estimation des paramètres de fonctionnement pour les systèmes d'aide à la conduite de véhicules routiers qui ne sont pas liés à la commande d'un sous-ensemble particulier liés aux conducteurs ou aux passagers
B60W 50/14 - Moyens d'information du conducteur, pour l'avertir ou provoquer son intervention
G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
G06T 7/70 - Détermination de la position ou de l'orientation des objets ou des caméras
G06V 10/44 - Extraction de caractéristiques locales par analyse des parties du motif, p. ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersectionsAnalyse de connectivité, p. ex. de composantes connectées
G06V 10/74 - Appariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques
G06V 20/40 - ScènesÉléments spécifiques à la scène dans le contenu vidéo
G06V 20/59 - Contexte ou environnement de l’image à l’intérieur d’un véhicule, p. ex. concernant l’occupation des sièges, l’état du conducteur ou les conditions de l’éclairage intérieur
G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules
G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente
H04N 19/132 - Échantillonnage, masquage ou troncature d’unités de codage, p. ex. ré-échantillonnage adaptatif, saut de trames, interpolation de trames ou masquage de coefficients haute fréquence de transformée
Machine vision devices may be configured to automatically connect to a remote management server (e.g., a “cloud”-based management server), and may offload and/or communicate images and analyses to the remote management server via wired or wireless communications. The machine vision devices may further communicate with the management server, user computing devices, and/or human machine interface devices, e.g., to provide remote access to the machine vision device, provide real-time information from the machine vision device, receive configurations/updates, provide interactive graphical user interfaces, and/or the like.
G06T 1/00 - Traitement de données d'image, d'application générale
G06V 10/44 - Extraction de caractéristiques locales par analyse des parties du motif, p. ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersectionsAnalyse de connectivité, p. ex. de composantes connectées
An improved system and method of selectively transmitting asset data from one or more sensors associated with the vehicle to a backend server, which is configured to analyze the asset data and, if necessary for further analysis of the asset data (e.g., to determine whether a safety event has occurred) and/or to provide actionable data for review by a safety analyst, requests further asset data from a vehicle device.
G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules
G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente
A video gateway device at a worksite (or other location) is coupled to multiple cameras on a network, such as multiple cameras at a business site. The gateway device determines video stream capabilities of each camera and, based on the capabilities, determines whether any additional video steams need to be created for particular cameras. For example, for cameras that provide only a high-resolution video stream, the gateway will generate (e.g., via downsampling) a standard-resolution video stream for artificial intelligence (“AI”) analysis and a low-resolution video stream for viewing by a user. However, for cameras that provide both a high and standard-resolution video stream, the gateway device uses the camera-provided standard-resolution video stream for AI analysis, rather than generating a new video stream on the gateway device.
G06V 10/77 - Traitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source
H04N 23/66 - Commande à distance de caméras ou de parties de caméra, p. ex. par des dispositifs de commande à distance
H04N 23/90 - Agencement de caméras ou de modules de caméras, p. ex. de plusieurs caméras dans des studios de télévision ou des stades de sport
Disclosed are systems, methods, and non-transitory computer-readable media for generating estimated times of arrival for multiple stops along a route. A route management system provides for: accessing a route tracking report associated with a vehicle to identify a set of stops along a route; determining a current location of the vehicle; computing, based on a current location of the vehicle, a first estimated time of arrival (ETA) associated with a first stop of the set of stops and a second ETA associated with a second stop of the set of stops; and generating, for display, first and second identifiers of the first and second stops associated with the first and second ETAs of the first and second stops.
A management server in communication with one or more object tracking devices is disclosed. The management server may receive location information, configuration information, and orientation information associated with the one or more object tracking devices. Based at least in part on the location information, the management server may receive weather information associated with the locations of the one or more object tracking devices. Based at least in part on the location information, the weather information, the configuration information, and the orientation information, the management server can determine power generated and power consumed by the one or more object tracking devices, which then can be used to determine estimated operation time for the one or more object tracking devices.
G01S 3/786 - Systèmes pour déterminer une direction ou une déviation par rapport à une direction prédéterminée utilisant le réglage d'une orientation des caractéristiques de directivité d'un détecteur ou d'un système de détecteurs afin d'obtenir une valeur désirée du signal provenant de ce détecteur ou de ce système de détecteurs la valeur désirée étant maintenue automatiquement
F24S 50/20 - Agencements pour commander les collecteurs de chaleur solaire pour le suivi
H02S 20/32 - Structures de support mobiles ou réglables, p. ex. pour réglage de l’angle spécialement adaptées pour le suivi du soleil
A system for providing remote control of assets is disclosed herein. The system provides secure communications with one or more assets and receive operational data from the one or more assets. The system provides a graphical interface that includes one or more icons, one or more indicators, and one or more user input interfaces. The system receives a user input via the one or more user input interfaces and transmit the user input to an asset associated with the one or more user input interfaces. The system detects changes to an operational characteristics of the asset and display the changes.
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
H04L 67/02 - Protocoles basés sur la technologie du Web, p. ex. protocole de transfert hypertexte [HTTP]
G06F 3/048 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI]
H04L 41/0806 - Réglages de configuration pour la configuration initiale ou l’approvisionnement, p. ex. prêt à l’emploi [plug-and-play]
H04L 41/28 - Restriction de l’accès aux systèmes ou aux fonctions de gestion de réseau, p. ex. en utilisant la fonction d’autorisation pour accéder à la configuration du réseau
H04L 41/0246 - Échange ou transport d’informations de gestion de réseau en utilisant l’InternetIntégration de serveurs de gestion du Web dans des éléments de réseauProtocoles basés sur les services du Web
An improved system and method of determining presence of stop signs at intersection based on multiple types of data including ground truth data, telemetry data, and/or trip stills gathered from vehicle devices. The data may be analyzed and aggregated by one or more models and/or neural networks to develop a prediction regarding presence of stop signs at individual intersections.
Controller devices may be configured to execute a network discovery service to identify other devices on a network, including other controller devices, user computing devices, and/or human machine interface devices. The controller devices may communicate with the devices on the network. An individual controller device may, upon connection to a human machine interface device, provide to the human machine interface device via a web server, a graphical user interface from which a user may configure the controller device or connect to another controller device on the network.
G06F 15/167 - Communication entre processeurs utilisant une mémoire commune, p. ex. boîte aux lettres électronique
H04L 67/02 - Protocoles basés sur la technologie du Web, p. ex. protocole de transfert hypertexte [HTTP]
H04L 41/28 - Restriction de l’accès aux systèmes ou aux fonctions de gestion de réseau, p. ex. en utilisant la fonction d’autorisation pour accéder à la configuration du réseau
H04L 41/0246 - Échange ou transport d’informations de gestion de réseau en utilisant l’InternetIntégration de serveurs de gestion du Web dans des éléments de réseauProtocoles basés sur les services du Web
H04L 41/0806 - Réglages de configuration pour la configuration initiale ou l’approvisionnement, p. ex. prêt à l’emploi [plug-and-play]
H04L 67/10 - Protocoles dans lesquels une application est distribuée parmi les nœuds du réseau
G06F 3/048 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI]
H04L 67/1061 - Réseaux de pairs [P2P] en utilisant des mécanismes de découverte de pairs basés sur les nœuds
98.
Dash cam with artificial intelligence safety event detection
A vehicle dash cam may be configured to execute one or more neural networks (and/or other artificial intelligence), such as based on input from one or more of the cameras and/or other sensors associated with the dash cam, to intelligently detect safety events in real-time. Detection of a safety event may trigger an in-cab alert to make the driver aware of the safety risk. The dash cam may include logic for determining which asset data to transmit to a backend server in response to detection of a safety event, as well as which asset data to transmit to the backend server in response to analysis of sensor data that did not trigger a safety event. The asset data transmitted to the backend server may be further analyzed to determine if further alerts should be provided to the driver and/or to a safety manager.
G07C 5/08 - Enregistrement ou indication de données de marche autres que le temps de circulation, de fonctionnement, d'arrêt ou d'attente, avec ou sans enregistrement des temps de circulation, de fonctionnement, d'arrêt ou d'attente
B60W 50/14 - Moyens d'information du conducteur, pour l'avertir ou provoquer son intervention
B60W 40/08 - Calcul ou estimation des paramètres de fonctionnement pour les systèmes d'aide à la conduite de véhicules routiers qui ne sont pas liés à la commande d'un sous-ensemble particulier liés aux conducteurs ou aux passagers
G07C 5/00 - Enregistrement ou indication du fonctionnement de véhicules
G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
H04N 19/132 - Échantillonnage, masquage ou troncature d’unités de codage, p. ex. ré-échantillonnage adaptatif, saut de trames, interpolation de trames ou masquage de coefficients haute fréquence de transformée
G06V 20/56 - Contexte ou environnement de l’image à l’extérieur d’un véhicule à partir de capteurs embarqués
G06V 20/59 - Contexte ou environnement de l’image à l’intérieur d’un véhicule, p. ex. concernant l’occupation des sièges, l’état du conducteur ou les conditions de l’éclairage intérieur
A system for providing remote monitoring of assets is disclosed. The system provides secure communication with one or more assets and receive operational data from the one or more assets. The system generates a graphical user interface that be used for selection of inputs from the one or more assets and specification of conditions to be applied to inputs for generation of alerts. The system can receive a selection of one or more asset outputs and two or more conditions. The conditions are applied to the selection of one or more assets to generate alerts when at least one of the conditions is satisfied.
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
H04L 67/02 - Protocoles basés sur la technologie du Web, p. ex. protocole de transfert hypertexte [HTTP]
G06F 3/048 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI]
H04L 41/28 - Restriction de l’accès aux systèmes ou aux fonctions de gestion de réseau, p. ex. en utilisant la fonction d’autorisation pour accéder à la configuration du réseau
H04L 41/0246 - Échange ou transport d’informations de gestion de réseau en utilisant l’InternetIntégration de serveurs de gestion du Web dans des éléments de réseauProtocoles basés sur les services du Web
H04L 41/0806 - Réglages de configuration pour la configuration initiale ou l’approvisionnement, p. ex. prêt à l’emploi [plug-and-play]
100.
Systems and methods for handovers between cellular networks on an asset gateway device
A gateway device for providing a dynamic network activation and/or handover is disclosed herein. The gateway device may activate on a first network associated with a primary network subscription identifier and determine to switch to a secondary network associated with a secondary network subscription identifier. The gateway device may disconnect from the first network and activate on the secondary network. The gateway device may access a cached list of networks for the primary network subscription identifier and scan for available networks while active on the secondary network. Based at least in part on the scan, the gateway device may determine that a second network of the cached list of networks is available. In response, the gateway device can disconnect from the secondary network and connect to the second network.
H04W 36/14 - Resélection d'un réseau ou d'une interface hertzienne
H04W 36/00 - Dispositions pour le transfert ou la resélection
H04W 48/16 - ExplorationTraitement d'informations sur les restrictions d'accès ou les accès
H04W 8/18 - Traitement de données utilisateur ou abonné, p. ex. services faisant l'objet d'un abonnement, préférences utilisateur ou profils utilisateurTransfert de données utilisateur ou abonné
H04W 48/18 - Sélection d'un réseau ou d'un service de télécommunications
