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

Real-time-Driver-Drowsiness-Detection-System-Using-Deep-Learning
37
Emerging
Driver-Drowsiness-Detection-System
24
Experimental
Maintenance 0/25
Adoption 6/25
Maturity 16/25
Community 15/25
Maintenance 0/25
Adoption 3/25
Maturity 8/25
Community 13/25
Stars: 21
Forks: 4
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 4
Forks: 2
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stale 6m No Package No Dependents
No License Stale 6m 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 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

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

Scores updated daily from GitHub, PyPI, and npm data. How scores work