In-vehicle video all-in-one units typically consist of a high-definition camera, an AI computing module, a data storage unit, and a network communication interface. The camera captures video streams from inside and outside the vehicle. The AI computing module uses deep learning algorithms to analyze the images in real time, identifying abnormal behavior (such as passengers falling or objects being left behind) or road risks (such as obstacles or pedestrians crossing the road).
The data storage unit can locally store key video clips, while the network interface supports uploading data to a cloud server for remote retrieval and management. Some devices also integrate satellite remote sensing technology, which, combined with vehicle GPS positioning information, enables trajectory tracking and geofencing functions.