Rail Vision Ltd

Shahar Hania

Sharon Bason

Avraham Ram Guissin

Elen Josef Katz

Yuval Isbi

Noam Teich

Michael Levy

Zohar Zeev Shechter

Sagi Dolberg

Avishay Alfandary

Hanan Zeltzer

Yotam Azriel

Natalie Day

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.

System and method for verifying a selection of an 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.

System and method for object and obstacle detection and classification in collision avoidance of railway applications

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.

Method and system for railway obstacle detection based on rail segmentation

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.

System and method for dynamic selection of high sampling rate for a selected region of interest

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.

System and method for detection of defects in an electric conductor system of a train

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.

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.

System and method for built in test for optical sensors

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.

System and method for multiple and dynamic meteorological data sources

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.

System and method for high throughput in multiple computations

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.

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Kedumim, Israel

Shahar Hania