CharanSuggala26/DrowsyDriverDetection

Drowsy Driver Detection System using OpenCV and CNN . A real-time drowsiness detection system that alerts drivers when signs of drowsiness are detected using computer vision and deep learning. This project leverages OpenCV for video capture and CNN for eye state classification.

15
/ 100
Experimental

This system helps drivers prevent accidents by monitoring their fatigue levels in real time. It uses a webcam to observe your eyes, and if it detects that your eyes are closed for too long, it triggers a sound alarm. This tool is for individual drivers, especially those who undertake long journeys or drive at night and want an extra layer of safety.

No commits in the last 6 months.

Use this if you are a driver looking for a simple, real-time safety system to alert you to signs of drowsiness while on the road.

Not ideal if you require advanced driver assistance features beyond basic drowsiness detection or a system integrated directly into your vehicle's existing electronics.

driver-safety fatigue-monitoring accident-prevention vehicle-safety
No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 0 / 25

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Stars

11

Forks

Language

Python

License

Last pushed

May 16, 2025

Commits (30d)

0

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