Abstract: Driver drowsiness and fatigue are serious road safety issues because they can reduce a driver's attention and reaction time. This paper presents an AI-Based Driver Monitoring and Automated Emergency Response System that monitors the driver through a laptop camera using MediaPipe Face Mesh. It detects signs of drowsiness by checking prolonged eye closure, yawning, and unusual head movements. The system uses Eye Aspect Ratio (EAR) to detect eye closure and Mouth Aspect Ratio (MAR) to identify yawning. When signs of fatigue are detected, an....
Key Word: Driver Monitoring, Drowsiness Detection, Computer Vision, MediaPipe Face Mesh, Head Tilt Detection, Emergency Response, WhatsApp Alert, Real-Time Monitoring
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