Real-time drowsiness detection system using Python, OpenCV, and MediaPipe. It captures video, detects facial landmarks, and tracks eye movements to identify fatigue and trigger alerts.
From the README
AI-Based Drowsiness Detection System Real-time computer vision system for detecting driver fatigue and preventing accidents. Features • Real-time face detection • Eye movement tracking • Blink detection • Alert system for fatigue detection Tech Stack • Python • OpenCV • MediaPipe Algorithm / Logic The system uses MediaPipe to detect facial landmarks and track eye movement. When the eyes remain closed for a certain duration, it identifies drowsiness and triggers an alert. Topics • python • opencv • mediapipe • computer-vision • AI-project • drowsiness-detection How It Works The system captures live video using a webcam, detects facial landmarks, and monitors eye movement patterns. If...
Skills
- Python
