“Real-time driver drowsiness detection using CNN, Mediapipe, and Eye Aspect Ratio.”
This project detects driver drowsiness in real-time using:
- Mediapipe for face and eye landmarks
- CNN model for eye state classification
- Eye Aspect Ratio (EAR) for geometric validation
- An alarm sound when drowsiness is detected
- Supports webcam integration for real-time monitoring