Abstract: An automated signal compliance monitoring and alerting system (ASCMAS) that automatically monitors and provides historical and real-time alerting for mobile assets in violation of a signal aspect, such as a stop light, traffic light, and/or speed limit signal, and/or operating the mobile asset unsafely in an attempt to maintain compliance to a signal. ASCMAS works in conjunction with a data acquisition and recording system (DARS) for mobile assets that includes a data center onboard the mobile asset and a data center remote from the mobile asset. A first artificial intelligence model of at least one of the data centers determines whether the mobile asset is a leading and/or controlling mobile asset. From video content obtained from one of the data centers, a second artificial intelligence model determines an episode involving the mobile asset.

Abstract: A data acquisition and recording system (DARS) for mobile assets that includes a data recorder and an automated signal monitoring and alerting system. The data recorder includes a data encoder, an onboard data manager, a vehicle event detector, at least one local memory component, and a queueing repository. DARS processes data from at least one input sensor and stores a compressed record of the data at least once per second in the local memory module. DARS is designed to run in near real-time mode, storing a full record comprising five minutes of data to a remote memory module every five minutes, and in real-time mode, streaming data to the remote memory module by uploading a record of data at least once per second and up to once every tenth of a second.

Abstract: A video content analysis system for mobile assets that includes track detection and infrastructure monitoring component. The track detection and infrastructure monitoring includes a reinforcement learning component, an object detection and location component, and an obstruction detection component to analyze video data, audio data, vehicle data, weather data, and route/manifest data to determine internal and/or external conditions relating to an the asset. A data acquisition and recording system uploads the data, internal and/or external condition information, object detection information, object location information, and obstruction detection information to a remote memory module and provides streaming video data in real-time to a remotely located user. Remotely located users can view the data in various view modes through a web browser or virtual reality device, which provides for quicker emergency response, validates the effectiveness of repairs and rerouting, and monitors crew performance and safety.

Abstract: A video content analysis system for mobile assets that includes track detection and infrastructure monitoring component. The track detection and infrastructure monitoring includes a reinforcement learning component, an object detection and location component, and an obstruction detection component to analyze video data, audio data, vehicle data, weather data, and route/manifest data to determine internal and/or external conditions relating to an the asset. A data acquisition and recording system uploads the data, internal and/or external condition information, object detection information, object location information, and obstruction detection information to a remote memory module and provides streaming video data in real-time to a remotely located user. Remotely located users can view the data in various view modes through a web browser or virtual reality device, which provides for quicker emergency response, validates the effectiveness of repairs and rerouting, and monitors crew performance and safety.