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.
No commits in the last 6 months.
Use this if you need an automated system to proactively detect driver drowsiness and take action to prevent accidents.
Not ideal if you need a fully integrated, commercial-grade solution for vehicle manufacturing or complex safety systems without local setup.
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Last pushed
Dec 13, 2022
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