Abstract: A vehicle device may be configured to execute one or more event models, such as based on input from one or more of the audio capture devices, image capture devices, and/or other sensors associated with the vehicle device, to intelligently detect safety events, such as unsignaled lane departures, in real-time. Detection of a safety event may trigger an in-vehicle alert to make the driver aware of the safety risk. The vehicle device 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 any action should be taken by the user of the backend server.

Abstract: A management server system may obtain data associated with a vehicle. The management server system may obtain the data from sensors and a dashcam within the vehicle. The management server system may determine a driver and/or vehicle profile based on the collected data and make assignments of drivers and/or vehicles to particular delivery tasks. The driver and/or vehicle profile may be generated by applying an encoder of a neural network. A second ranking neural network can be applied to generate ranking scores for each driver and/or vehicle for a particular delivery task, which can be used to select the optimal driver and/or vehicle for the delivery. The management server system may apply the driver and/or vehicle profile with potential routes for a delivery task to a neural network to identify a recommended route for the delivery task.