SafeDriveVision and Driver-Drowsiness-Detection

SafeDriveVision
46
Emerging
Driver-Drowsiness-Detection
24
Experimental
Maintenance 2/25
Adoption 9/25
Maturity 16/25
Community 19/25
Maintenance 0/25
Adoption 5/25
Maturity 8/25
Community 11/25
Stars: 84
Forks: 17
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 12
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 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

About Driver-Drowsiness-Detection

ahmedsaed/Driver-Drowsiness-Detection

A computer vision project that aims to reduce car accidents by detecting if the driver is a wake or not

This project helps reduce car accidents by monitoring a driver's face in real-time to detect signs of drowsiness. It takes live video feed as input and determines if the driver is awake or drowsy. If drowsiness is detected, it triggers an alert, such as playing energetic music, to help the driver regain focus. This tool is for individual drivers, fleet managers, or automotive safety researchers.

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

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