DROWSINESS AND YAWN DETECTION SYSTEM

Developed a real-time driver safety system using Python, OpenCV, and MediaPipe to monitor drowsiness through Eye Aspect Ratio (EAR) and detect yawning via Mouth Aspect Ratio (MAR). Implemented real-time alerts using Pygame Mixer for prolonged eye closure (drowsiness) and frequent yawning, displaying live metrics (EAR, MAR, drowsiness time, yawn count) on a video feed.Enhanced safety and usability by achieving accurate face landmark detection, robust real-time performance, and time-based fatigue monitoring.