🚗 Driver Drowsiness Detection System

This system detects driver drowsiness using computer vision and deep learning.

Features:

• Image analysis
• Video processing with speed monitoring
• Webcam detection (PC and mobile)
• Multi-factor drowsiness prediction (face, eyes, head pose, speed changes)

How It Works

This system detects drowsiness using multiple factors:

1. Facial features - Using a trained CNN model
2. Eye openness - Measuring eye aspect ratio (EAR)
3. Head position - Detecting head drooping
4. Automatic speed detection - Using optical flow analysis to track vehicle movement and detect irregular speed changes

The system automatically detects speed changes from the video frames using computer vision techniques:

• Optical flow is used to track movement between frames
• Irregular speed changes (±5 km/h) are detected as potential signs of drowsy driving
• No external speed data required - everything is analyzed directly from the video content

Combining these factors provides more reliable drowsiness detection than using facial features alone.