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: An engineer recertification assistant that utilizes a real-time data acquisition and recording system (DARS), a DARS viewer, and a video analytics system for mobile assets. DARS includes a data recorder, an onboard data manager, and at least one local memory module. The video analytics system processes video data from at least one camera and operational data from the data recorder for critical events and regulatory requirements based on a mobile asset operator's operational performance. The processed video data and operational data is display, along with episodes, exceptions, and user comments, on a display device featuring a web portal. The engineer recertification assistant can further determine an automated score-based recommendation for certification or decertification of the mobile asset operator or can directly certify or decertify the mobile asset operator for gross non-compliance.

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.

Abstract: The present invention is a multipurpose strap device for securing, fastening, removably attaching, carrying, storing holding, and/or locking items and/or objects. One current embodiment allows for carrying a helmet on a motorcycle by securing said helmet to said motorcycle via the multipurpose strap device. Other embodiments find use of the invention as a wallet, carrying case, or other storage device.

Abstract: The present invention is a multipurpose strap device for securing, fastening, removably attaching, carrying, storing holding, and/or locking items and/or objects. One current embodiment allows for carrying a helmet on a motorcycle by securing said helmet to said motorcycle via the multipurpose strap device. Other embodiments find use of the invention as a wallet, carrying case, or other storage device.