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

Real-time-Driver-Drowsiness-Detection-System-Using-Deep-Learning
37
Emerging
ML-enabled-Driver-Drowsiness-Detection
21
Experimental
Maintenance 0/25
Adoption 6/25
Maturity 16/25
Community 15/25
Maintenance 10/25
Adoption 0/25
Maturity 11/25
Community 0/25
Stars: 21
Forks: 4
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: —
Forks: —
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stale 6m No Package No Dependents
No Package No Dependents

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

Pratham-mehta/Real-time-Driver-Drowsiness-Detection-System-Using-Deep-Learning

CS-GY 6953 Deep Learning Major Project

This system helps prevent road accidents by detecting driver drowsiness in real-time. It takes live video footage of a driver's face as input and outputs an alert when signs of drowsiness, like closed eyes or yawning, are detected. This tool is designed for anyone who operates a vehicle, especially professional drivers or individuals embarking on long journeys.

road-safety driver-monitoring fatigue-detection accident-prevention

About ML-enabled-Driver-Drowsiness-Detection

us-utkarshsri07/ML-enabled-Driver-Drowsiness-Detection

Real-time driver drowsiness detection using MobileNetV2 and OpenCV

Related comparisons

Real-time-Driver-Drowsiness-Detection-System-Using-Deep-Learning and Driver-Drowsiness-Detection Real-time-Driver-Drowsiness-Detection-System-Using-Deep-Learning and Driver-Drowsiness-Detection-System Real-time-Driver-Drowsiness-Detection-System-Using-Deep-Learning and DL_Driver-drowsiness-detection

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