Given the frequent increase of traffic accidents in recent years,especially fatigue driving has become a major safety hazard,this study develops an in-depth fatigue monitoring system based on artificial intelligence image processing technology,aim-ing to analyze the value of the application of this system in the field of traffic safety and its effectiveness.The system aims to reduce traffic accidents,improve safety awareness,protect drivers'physical and mental health,as well as promote technological innova-tion.The system design includes real-time facial and body behavior analysis,GPS precise positioning,instant image capture,auto-matic warning system,emergency contact function and mobile application location query,which comprehensively improves the safety monitoring capability.In terms of technology,the system adopts the PERCLOS algorithm and the YOLOv3 model to improve monitoring accuracy,with the expectation of promoting the wider application of monitoring technology and the advancement of in-telligent transportation systems.
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