Driver-Drowsiness-Detection and Driver-Drowsiness-Detection-System

Driver-Drowsiness-Detection
26
Experimental
Driver-Drowsiness-Detection-System
24
Experimental
Maintenance 6/25
Adoption 4/25
Maturity 16/25
Community 0/25
Maintenance 0/25
Adoption 3/25
Maturity 8/25
Community 13/25
Stars: 8
Forks: —
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 4
Forks: 2
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
No Package No Dependents
No License Stale 6m No Package No Dependents

About Driver-Drowsiness-Detection

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.

driver-safety fleet-management accident-prevention vehicle-monitoring fatigue-detection

About Driver-Drowsiness-Detection-System

Shubham-Singla259/Driver-Drowsiness-Detection-System

A Driver Drowsiness Detection System using deep learning is a technology that helps prevent accidents by detecting when a driver is sleepy. It uses cameras to monitor signs like frequent blinking or yawning and alerts the driver to keep them awake and safe on the road.

Related comparisons

Driver-Drowsiness-Detection and Real-time-Driver-Drowsiness-Detection-System-Using-Deep-Learning Driver-Drowsiness-Detection and Real-time-Driver-Drowsiness-Detection-System-Using-Deep-Learning

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