This project detects driver drowsiness using Computer Vision. It uses Haar Cascade classifiers to detect face and eyes. If eyes remain closed for a certain number of frames, the system triggers a DROWSY ALERT.
Python, OpenCV, Haar Cascade Classifiers
1. Camera captures live video.
2. Face is detected.
3. Eyes are detected inside face region.
4. If eyes remain closed for continuous frames → Alert is displayed.