driver-drowsiness-detection-system and SafeDriveVision

Maintenance 6/25
Adoption 8/25
Maturity 16/25
Community 21/25
Maintenance 2/25
Adoption 9/25
Maturity 16/25
Community 19/25
Stars: 55
Forks: 41
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 84
Forks: 17
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About driver-drowsiness-detection-system

Gagandeep-2003/driver-drowsiness-detection-system

AI-powered Driver Drowsiness Detection System using Computer Vision & Machine Learning for real-time driver alertness monitoring and accident prevention.

This system helps professional drivers, logistics companies, or anyone driving long distances prevent accidents by detecting driver drowsiness in real-time. It takes live camera feed of a driver's face, analyzes their eye movements for signs of fatigue, and issues timely audio or visual alerts to wake them up. This is for individuals or organizations concerned with road safety and preventing fatigue-related incidents.

road-safety driver-monitoring accident-prevention fatigue-management transportation-safety

About SafeDriveVision

Boubker10/SafeDriveVision

SafeDriveVision is a computer vision project aimed at enhancing road safety. This project leverages deep learning models to detect and alert in real-time the dangerous behaviors of drivers, such as using a phone while driving or showing signs of drowsiness.

SafeDriveVision helps improve road safety by using video to detect dangerous driver behaviors in real-time, like phone use or drowsiness. It takes live video feeds as input and outputs immediate alerts to the driver when risky actions are identified. This is ideal for individual drivers, fleet managers, or transportation safety officers aiming to prevent accidents.

road-safety driver-monitoring accident-prevention fleet-management transportation-safety

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