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Passive Fatigue Detection Demo
Project Demonstration
See how the passive fatigue detection system works

This demonstration shows how the fatigue detection system analyzes facial features, eye movements, and head pose to detect signs of fatigue in real-time

System Overview
How passive fatigue detection works

Eye Tracking

Monitors eye closure duration and frequency to detect microsleep episodes

Blink Analysis

Analyzes blink patterns and duration to identify fatigue indicators

Head Pose Detection

Tracks head position and movement to detect nodding or drooping

Real-time Alerts

Provides immediate notifications when fatigue levels exceed safe thresholds

Technical Specifications
Detection MethodComputer Vision + ML
Processing Speed30 FPS Real-time
Accuracy94.2% Detection Rate
Response Time< 500ms Alert
HardwareStandard Webcam