DMS
monitoring
Cockpit Intelligent Recognition Monitoring
Face
Recognition
Through visual tracking, target detection, action recognition and other technologies to detect the driver's driving behavior and physiological state, when the driver fatigue, distraction, phone calls, smoking and other dangerous situations occur in the system within a set period of time alarm to avoid accidents.
Through the high-definition infrared camera in the cockpit, the main information feature points related to driving activities are extracted, and semantic segmentation of the recognized object features is carried out in order to monitor whether the driver wears a seatbelt when driving the vehicle, whether he wears a helmet in special scenarios and other behaviors, and to discover and remind the driver of the timely discovery of the operation that does not comply with the safety requirements.
By capturing face images of drivers and using neural image recognition algorithms, 3D features are extracted from the contour of the face, eyes, ears, mouth, nose and other parts of the face to generate a unique face ID, and by comparing the face information of the driver, it can be determined whether the current driver is an authorized driver, so as to take corresponding management measures for driving behavior.
Pedestrian/vehicle blind spot detection
Lane departure
warning
Front Start Alert
Through the big data deep learning technology, the visual intelligent on-board sensors are utilized to monitor the targets such as pedestrians or vehicles in front of, behind, on the left side and on the right side of the vehicle in real time, select the key targets, and based on the speed of the vehicle and the distance information of the targets, make a comprehensive decision, and send out the alarm information to the driver, so as to avoid the occurrence of pedestrian collision accidents.
Analyze and process the real-time video on the way through the car perimeter camera, identify the current car perimeter lane line information, when monitoring the driver in the case of no turn signal lane shift will immediately issue an alarm to prevent traffic accidents that may be caused by lane deviation
Using real-time images from the front camera, it monitors the movement status of the vehicle in front of it and alerts the driver when the vehicle in front of him has moved forward while the vehicle is still stopped.
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