DivitMittal/Driver-Drowsiness-Detection
Real-time drowsiness detection on driver's face continuously for signs of fatigue using deep learning methodologies
This system helps monitor a driver's face in real-time using a camera to detect signs of fatigue. It takes a continuous video feed of the driver's face and outputs alerts if drowsiness is detected, based on eye closures, head movements, and yawning. Trucking companies, fleet managers, and anyone responsible for driver safety can use this to prevent accidents.
Use this if you need an automated way to continuously check for driver drowsiness and issue timely alerts.
Not ideal if you require a system that works without a direct camera feed of the driver's face or needs to integrate with non-visual biometric data.
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Jupyter Notebook
License
MIT
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Last pushed
Jan 02, 2026
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