A system for verifying a selection of an optical sensor of two or more optical sensors may include: a first optical sensor; a second optical sensor; and a processing unit configured to: receive a selection of one of the first and second optical sensors to provide a selected optical sensor and a non-selected optical sensor; change parameters of the selected optical sensor to a selected set of parameters; receive image frames from the selected optical sensor; change parameters of the non-selected optical sensor to a predefined set of parameters; receive image frames from the non-selected optical sensor; determine that the selected optical sensor operates according to the selected set of parameters and/or that the non-selected optical sensor operates according to the predefined set of parameters; and verify, based on at least one of the determinations, the selection of the optical sensor.
A system for detection and identification of objects and obstacles near, between or on railway comprise several forward-looking imagers adapted to cover each different range forward and preferably to be sensitive each to different wavelength of radiation, including visible light, LWIR, and SWIR. The substantially homogeneous temperature along the rail the image of which is included in an imager frame assists in identifying and distinguishing the rail from the background Image processing is applied to define living creature in the image frame and to distinguish from a man-made object based on temperature of the body. Electro optic sensors (e.g. thermal infrared imaging sensor and visible band imaging sensor) are used to survey and monitor railway scenes in real time.
B61L 23/04 - Dispositifs de commande, d'avertissement ou autres dispositifs de sécurité le long de la voie ou entre les véhicules ou les trains pour contrôler l'état mécanique de la voie
B61L 25/02 - Indication ou enregistrement de la position ou de l'identité de véhicules ou de trains
G06T 7/181 - DécoupageDétection de bords impliquant des croissances de bordsDécoupageDétection de bords impliquant des liaisons de bords
G06V 10/143 - Détection ou éclairage à des longueurs d’onde différentes
G06V 10/80 - Fusion, c.-à-d. combinaison des données de diverses sources au niveau du capteur, du prétraitement, de l’extraction des caractéristiques ou de la classification
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
3.
SYSTEM AND METHOD FOR VERIFYING A SELECTION OF AN OPTICAL SENSOR
A system for verifying a selection of an optical sensor of two or more optical sensors may include: a first optical sensor; a second optical sensor; and a processing unit configured to: receive a selection of one of the first and second optical sensors to provide a selected optical sensor and a non-selected optical sensor; change parameters of the selected optical sensor to a selected set of parameters; receive image frames from the selected optical sensor; change parameters of the non-selected optical sensor to a predefined set of parameters; receive image frames from the non-selected optical sensor; determine that the selected optical sensor operates according to the selected set of parameters and/or that the non-selected optical sensor operates according to the predefined set of parameters; and verify, based on at least one of the determinations, the selection of the optical sensor.
A system for selecting promotional content for presentation in train wagons may include: an optical sensor mountable on a train and configured to obtain image frames; and a processing unit connected to the optical sensor and configured to: receive the image frames from the optical sensor; detect, in at least a portion of the image frames, at least one of passengers and clusters of passengers on a railway platform; classify at least one of the passengers detected in at least a portion of the image frames and passengers in the clusters of passengers detected in at least a portion of the image frames; generate passengers'classification data indicative of the classification thereof; and select, based on the passengers'classification data, promotional content to be presented in train wagons.
A system for detection and identification of objects and obstacles near, between or on railway comprise several forward-looking imagers adapted to cover each different range forward and preferably to be sensitive each to different wavelength of radiation, including visible light, LWIR, and SWIR. The substantially homogeneous temperature along the rail the image of which is included in an imager frame assists in identifying and distinguishing the rail from the background. Image processing is applied to define living creature in the image frame and to distinguish from a man-made object based on temperature of the body. Electro optic sensors (e.g. thermal infrared imaging sensor and visible band imaging sensor) are used to survey and monitor railway scenes in real time.
B61L 23/04 - Dispositifs de commande, d'avertissement ou autres dispositifs de sécurité le long de la voie ou entre les véhicules ou les trains pour contrôler l'état mécanique de la voie
G06T 7/181 - DécoupageDétection de bords impliquant des croissances de bordsDécoupageDétection de bords impliquant des liaisons de bords
B61L 25/02 - Indication ou enregistrement de la position ou de l'identité de véhicules ou de trains
G06V 10/143 - Détection ou éclairage à des longueurs d’onde différentes
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
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
6.
Method and system for railway obstacle detection based on rail segmentation
Systems and methods for rails and obstacles detection based on forward-looking electrooptical imaging, novel system architecture and novel scene analysis and image processing are disclosed. The processing solution utilizes a deep learning semantic scene segmentation approach based on a rails and switches states detection neural network that determines the railway path of the train in the forward-looking imagery, and an objects and obstacles detection and tracking neural network that analyzes the vicinity of the determined railway path and detects impending obstacles.
B61L 23/04 - Dispositifs de commande, d'avertissement ou autres dispositifs de sécurité le long de la voie ou entre les véhicules ou les trains pour contrôler l'état mécanique de la voie
G06F 18/214 - Génération de motifs d'entraînementProcédés de Bootstrapping, p. ex. ”bagging” ou ”boosting”
G06N 3/04 - Architecture, p. ex. topologie d'interconnexion
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 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.
System and method for detection of defects in an electric conductor system of a train
A method and system for identification of obstacles near railways and for providing alarm to an operator of a train if obstacles constitute threat to the train are disclosed. The system comprise IR sensor disposed at the front of the train facing the direction of travel. The IR sensor receives images of the rails in front of the train. The system comprises pre-stored vibration profile of the train's engine that is used to eliminate influence of the engine's vibrations on the accuracy of the received images. Presence of rails in the received frames is detected based on inherent differences of temperature between the rails and the substrate in the rails' background, such as the railway sleepers and the materials underneath it. The system may detect defects in an electric conductor system of a train.
B61L 23/04 - Dispositifs de commande, d'avertissement ou autres dispositifs de sécurité le long de la voie ou entre les véhicules ou les trains pour contrôler l'état mécanique de la voie
B61L 15/00 - Indicateurs de signalisation sur le véhicule ou sur le train
B61L 25/02 - Indication ou enregistrement de la position ou de l'identité de véhicules ou de trains
8.
System and method for dynamic selection of high sampling rate for a selected region of interest
Generally, a system including an imaging device and a processing unit is disclosed. The imaging device may be configured to acquire a plurality of datasets of corresponding plurality of image frames by performing corresponding plurality of image frame handling cycles. The processing unit may be configured to define a special region of interest (SROI) in each of at least some of the plurality of the image frames acquired by the imaging device, based on the datasets of the respective image frames. The imaging device may be further configured to acquire at least one partial dataset of the SROI, during each of at least some of the plurality of image frame handling cycles and within a residual time between an end of an image frame acquiring time and an end of the respective image frame handling cycle.
B61L 23/04 - Dispositifs de commande, d'avertissement ou autres dispositifs de sécurité le long de la voie ou entre les véhicules ou les trains pour contrôler l'état mécanique de la voie
B61L 3/00 - Dispositifs le long de la voie commandant des dispositifs sur le véhicule ou sur le train, p. ex. pour relâcher les freins ou pour manœuvrer un signal avertisseur
B61L 15/00 - Indicateurs de signalisation sur le véhicule ou sur le train
B61L 23/34 - Dispositifs de commande, d'avertissement ou autres dispositifs de sécurité le long de la voie ou entre les véhicules ou les trains pour indiquer la distance entre les véhicules ou les trains par la transmission de signaux entre ceux-ci
G06V 20/56 - Contexte ou environnement de l’image à l’extérieur d’un véhicule à partir de capteurs embarqués
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
9.
System and method for built in test for optical sensors
An optical system including one or more optical sensors and a processing unit capable of performing built-in tests of the optical sensor(s) and methods thereof are disclosed. The processing unit includes a built-in test module configured to detect a reduction of an optical quality of at least some of the images generated by at least one of the optical sensors with respect to an expected optical quality thereof. The built-in test module may be configured to determine whether the reduction of the optical quality thereof is due to the “external optical disturbances” (EOD) and/or failure of the optical sensor(s)/system. The processing unit may include a relative built-in test module configured to compare at least some images generated by at least two of the optical sensor(s) and to determine which of the at least two optical sensors thereof, if any, is subjected to at least one of the EOD and/or failure.
A system for detection and identification of objects and obstacles near, between or on railway comprise several forward-looking imagers adapted to cover each different range forward and preferably to be sensitive each to different wavelength of radiation, including visible light, LWIR, and SWIR. The substantially homogeneous temperature along the rail the image of which is included in an imager frame assists in identifying and distinguishing the rail from the background. Image processing is applied to define living creature in the image frame and to distinguish from a man-made object based on temperature of the body. Electro optic sensors (e.g. thermal infrared imaging sensor and visible band imaging sensor) are used to survey and monitor railway scenes in real time.
B61L 23/04 - Dispositifs de commande, d'avertissement ou autres dispositifs de sécurité le long de la voie ou entre les véhicules ou les trains pour contrôler l'état mécanique de la voie
G06T 7/181 - DécoupageDétection de bords impliquant des croissances de bordsDécoupageDétection de bords impliquant des liaisons de bords
B61L 25/02 - Indication ou enregistrement de la position ou de l'identité de véhicules ou de trains
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
Device, circuit and method are configured to enhance throughout of processing of vast amount of data such as video stream. In some embodiment frequently used data blocks are stored in a fast RAM of the processor. In another embodiment received stream of data is divided to plurality of data portions and is streamed concurrently to streaming multiprocessors of a graphic processing unit (GPU) and is processed concurrently before the entire stream is loaded.
G06F 12/0806 - Systèmes de mémoire cache multi-utilisateurs, multiprocesseurs ou multitraitement
G06F 13/30 - Gestion de demandes d'interconnexion ou de transfert pour l'accès au bus d'entrée/sortie utilisant le transfert par rafale, p. ex. acces direct à la mémoire, vol de cycle avec commande prioritaire
A system for collecting and distributing meteorological data is disclosed the system comprising at least two mobile meteorological stations (MMS) and each of the stations comprising at least a controller, a sensors unit that comprises one or more sensors such as temperature sensor, humidity sensor, air pressure sensor, wind speed and/or wind direction sensor, a location sensor unit and a communication unit configured to enable communication with at least one other MMS. The controller may be configured to receive meteorological data from the sensors unit and location data from the location sensor unit and to send a meteorological data and location data to the at least one other MMS.
G08G 1/09 - Dispositions pour donner des instructions variables pour le trafic
B60R 16/023 - Circuits électriques ou circuits de fluides spécialement adaptés aux véhicules et non prévus ailleursAgencement des éléments des circuits électriques ou des circuits de fluides spécialement adapté aux véhicules et non prévu ailleurs électriques pour la transmission de signaux entre des parties ou des sous-systèmes du véhicule
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 4/029 - Services de gestion ou de suivi basés sur la localisation
G01S 13/95 - Radar ou systèmes analogues, spécialement adaptés pour des applications spécifiques pour la météorologie
G01W 1/02 - Instruments pour indiquer des conditions atmosphériques par mesure de plusieurs variables, p. ex. humidité, pression, température, nébulosité ou vitesse du vent
H04W 4/021 - Services concernant des domaines particuliers, p. ex. services de points d’intérêt, services sur place ou géorepères
13.
METHOD AND SYSTEM FOR RAILWAY OBSTACLE DETECTION BASED ON RAIL SEGMENTATION
Systems and methods for rails and obstacles detection based on forward-looking electrooptical imaging, novel system architecture and novel scene analysis and image processing are disclosed. The processing solution utilizes a deep learning semantic scene segmentation approach based on a rails and switches states detection neural network that determines the railway path of the train in the forward- looking imagery, and an objects and obstacles detection and tracking neural network that analyzes the vicinity of the determined railway path and detects impending obstacles.
B61L 23/04 - Dispositifs de commande, d'avertissement ou autres dispositifs de sécurité le long de la voie ou entre les véhicules ou les trains pour contrôler l'état mécanique de la voie
Generally, a system including an imaging device and a processing unit is disclosed. The imaging device may be configured to acquire a plurality of datasets of corresponding plurality of image frames by performing corresponding plurality of image frame handling cycles. The processing unit may be configured to define a special region of interest (SROI) in each of at least some of the plurality of the image frames acquired by the imaging device, based on the datasets of the respective image frames. The imaging device may be further configured to acquire at least one partial dataset of the SROI, during each of at least some of the plurality of image frame handling cycles and within a residual time between an end of an image frame acquiring time and an end of the respective image frame handling cycle.
B61L 23/04 - Dispositifs de commande, d'avertissement ou autres dispositifs de sécurité le long de la voie ou entre les véhicules ou les trains pour contrôler l'état mécanique de la voie
B61L 15/00 - Indicateurs de signalisation sur le véhicule ou sur le train
B61L 23/00 - Dispositifs de commande, d'avertissement ou autres dispositifs de sécurité le long de la voie ou entre les véhicules ou les trains
B61L 23/34 - Dispositifs de commande, d'avertissement ou autres dispositifs de sécurité le long de la voie ou entre les véhicules ou les trains pour indiquer la distance entre les véhicules ou les trains par la transmission de signaux entre ceux-ci
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
An optical system including one or more optical sensors and a processing unit capable of performing built-int tests of the optical sensor(s) and methods thereof are disclosed. The processing unit includes a built-in test module configured to detect a reduction of an optical quality of at least some of the images generated by at least one of the optical sensors with respect to an expected optical quality thereof. The built-in test module may be configured to determine whether the reduction of the optical quality thereof is due to the "external optical disturbances" (EOD) and/or failure of the optical sensor(s)/system. The processing unit may include a relative built-in test module configured to compare at least some images generated by at least two of the optical sensor(s) and to determine which of the at least two optical sensors thereof, if any, is subjected to at least one of the EOD and/or failure.
Generally, an optical unit for collecting light from small and/or distant objects is disclosed. The optical unit may include a front lens having a diameter of at least 150 mm and at least one additional lens in association with the front lens, wherein the front lens is made of chalcogenide glass. In some embodiments, a weight of the optical unit ranges between 2 and 6 kg.
C03C 3/32 - Compositions de verre ne contenant pas d'oxyde, p. ex. halogénures, sulfures ou nitrures de germanium, de sélénium ou de tellure, binaires ou ternaires
B61L 23/04 - Dispositifs de commande, d'avertissement ou autres dispositifs de sécurité le long de la voie ou entre les véhicules ou les trains pour contrôler l'état mécanique de la voie
G01J 5/06 - Dispositions pour éliminer les effets des radiations perturbatricesDispositions pour compenser les changements de la sensibilité
G02B 13/14 - Objectifs optiques spécialement conçus pour les emplois spécifiés ci-dessous à utiliser avec des radiations infrarouges ou ultraviolettes
17.
SYSTEM AND METHOD FOR HIGH THROUGHPUT IN MULTIPLE COMPUTATIONS
Device, circuit and method are configured to enhance throughout of processing of vast amount of data such as video stream. In some embodiment frequently used data blocks are stored in a fast RAM of the processor. In another embodiment received stream of data is divided to plurality of data portions and is streamed concurrently to streaming multiprocessors of a graphic processing unit (GPU) and is processed concurrently before the entire stream is loaded.
G06F 12/08 - Adressage ou affectationRéadressage dans des systèmes de mémoires hiérarchiques, p. ex. des systèmes de mémoire virtuelle
G06F 12/0802 - Adressage d’un niveau de mémoire dans lequel l’accès aux données ou aux blocs de données désirés nécessite des moyens d’adressage associatif, p. ex. mémoires cache
G06F 13/14 - Gestion de demandes d'interconnexion ou de transfert
G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]
G06T 1/20 - Architectures de processeursConfiguration de processeurs p. ex. configuration en pipeline
A system for collecting and distributing meteorological data is disclosed the system comprising at least two mobile meteorological stations (MMS) and each of the stations comprising at least a controller, a sensors unit that comprises one or more sensors such as temperature sensor, humidity sensor, air pressure sensor, wind speed and/or wind direction sensor, a location sensor unit and a communication unit configured to enable communication with at least one other MMS. The controller may be configured to receive meteorological data from the sensors unit and location data from the location sensor unit and to send a meteorological data and location data to the at least one other MMS.
G01W 1/02 - Instruments pour indiquer des conditions atmosphériques par mesure de plusieurs variables, p. ex. humidité, pression, température, nébulosité ou vitesse du vent
G01W 1/10 - Dispositifs pour la prévision des conditions météorologiques
H04B 7/26 - Systèmes de transmission radio, c.-à-d. utilisant un champ de rayonnement pour communication entre plusieurs postes dont au moins un est mobile
H04W 4/02 - Services utilisant des informations de localisation
19.
System and method for detection of defects in an electric conductor system of a train
A method and system for identification of obstacles near railways and for providing alarm to an operator of a train if obstacles constitute threat to the train are disclosed. The system comprise IR sensor disposed at the front of the train facing the direction of travel. The IR sensor receives images of the rails in front of the train. The system comprises pre-stored vibration profile of the train's engine that is used to eliminate influence of the engine's vibrations on the accuracy of the received images. Presence of rails in the received frames is detected based on inherent differences of temperature between the rails and the substrate in the rails' background, such as the railway sleepers and the materials underneath it. The system may detect defects in an electric conductor system of a train.
B61L 23/04 - Dispositifs de commande, d'avertissement ou autres dispositifs de sécurité le long de la voie ou entre les véhicules ou les trains pour contrôler l'état mécanique de la voie
B61L 15/00 - Indicateurs de signalisation sur le véhicule ou sur le train
B61L 25/02 - Indication ou enregistrement de la position ou de l'identité de véhicules ou de trains
20.
SYSTEM AND METHOD FOR OBJECT AND OBSTACLE DETECTION AND CLASSIFICATION IN COLLISION AVOIDANCE OF RAILWAY APPLICATIONS
A system for detection and identification of objects and obstacles near, between or on railway comprise several forward-looking imagers adapted to cover each different range forward and preferably to be sensitive each to different wavelength of radiation, including visible light, LWIR, and SWIR. The substantially homogeneous temperature along the rail the image of which is included in an imager frame assists in identifying and distinguishing the rail from the background. Image processing is applied to define living creature in the image frame and to distinguish from a man-made object based on temperature of the body. Electro optic sensors (e.g. thermal infrared imaging sensor and visible band imaging sensor) are used to survey and monitor railway scenes in real time.
B61L 23/04 - Dispositifs de commande, d'avertissement ou autres dispositifs de sécurité le long de la voie ou entre les véhicules ou les trains pour contrôler l'état mécanique de la voie
A method and system for identification of obstacles near railways and for providing alarm to an operator of a train if obstacles constitute threat to the train are disclosed. The system comprise IR sensor disposed at the front of the train facing the direction of travel. The IR sensor receives images of the rails in front of the train. The system comprises pre-stored vibration profile of the train's engine that is used to eliminate influence of the engine's vibrations on the accuracy of the received images. Presence of rails in the received frames is detected based on inherent differences of temperature between the rails and the substrate in the rails' background, such as the railway sleepers and the materials underneath it. The system may detect defects in an electric conductor system of a train.
A method and system for identification of obstacles near railways and for providing alarm to an operator of a train if obstacles constitute threat to the train are disclosed. The system comprise IR sensor disposed at the front of the train facing the direction of travel. The IR sensor receives images of the rails in front of the train. The system comprises pre-stored vibration profile of the train's engine that is used to eliminate influence of the engine's vibrations on the accuracy of the received images. Presence of rails in the received frames is detected based on inherent differences of temperature between the rails and the substrate in the rails' background, such as the railway sleepers and the materials underneath it.
B61L 23/00 - Dispositifs de commande, d'avertissement ou autres dispositifs de sécurité le long de la voie ou entre les véhicules ou les trains
B61L 23/04 - Dispositifs de commande, d'avertissement ou autres dispositifs de sécurité le long de la voie ou entre les véhicules ou les trains pour contrôler l'état mécanique de la voie
B61L 15/00 - Indicateurs de signalisation sur le véhicule ou sur le train
B61L 25/02 - Indication ou enregistrement de la position ou de l'identité de véhicules ou de trains
brevets
