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

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Maturity 16/25
Community 15/25
Maintenance 0/25
Adoption 4/25
Maturity 8/25
Community 8/25
Stars: 21
Forks: 4
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 8
Forks: 1
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
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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 DL_Driver-drowsiness-detection

nguyenquangtung/DL_Driver-drowsiness-detection

Apply deeplearning for detecting and warning of driver drowsiness

This system helps drivers stay safe by detecting signs of drowsiness in real-time. It uses a camera to monitor a driver's face, specifically their eyes, and determines if they are open or closed. If the system detects that a driver's eyes have been closed for too long, it triggers an alarm to alert them and prevent accidents. This tool is for individual drivers, professional truck drivers, or fleet managers looking to enhance road safety.

road-safety driver-assistance accident-prevention vehicle-safety fleet-management

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