Fatigue Driving Monitoring System Based on Facial Feature Recognition

Driving fatigue is one of the important causes of traffic accidents. In this paper, an embedded driving fatigue prevention system based on face feature recognition is designed. The32 single chip microcomputer is used as the main control unit, and the driver's face image is collected in real time by the K210 camera. The frequency mouth closure and the attitude of the head are detected by a precise algorithm to determine the state of fatigue. The system integrates the SU-03T offline voice module, which supports150 local command recognition and voice interaction. Real-time warning is achieved through the linkage of buzzer, LED and vehicle-mounted equipment. Use K210 to detect fatigue driving, connect to the mobile app through ECB02, and when fatigue vibration is detected, the motor will remind, the LED will flash, the motor will slow down, and a voice reminder (do not drive fatigue) will be sent to the mobile app. At this time, the reminder can be turned off through voice control. Fatigue reminder: If there is no voice feedback (no voice off reminder) for more than 1 minute, the buzzer will sound an alarm and the vehicle will be forced to stop.