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A real-time drowsiness detection system for drivers, which alerts the driver if they fall asleep due to fatigue while still driving. The computer vision algorithm used for the implementation uses a trifold approach to detect drowsiness, including the measurement of forward head tilt angle, measurement of eye aspect ratio (to detect closure of eyes) and measurement of mouth aspect ratio (to detect yawning).

Python 100.00%
drowsiness-detection yawn-detection eye-status python opencv dlib

driver-drowsiness-detection's Introduction

Driver Drowsiness Detection

Welcome to Driver Drowsiness Detector πŸ‘‹

Version Twitter: NeelanjanManna

A real-time drowsiness detection system for drivers, which alerts the driver if they fall asleep due to fatigue while still driving. The computer vision algorithm used for the implementation uses a trifold approach to detect drowsiness, including the measurement of forward head tilt angle, measurement of eye aspect ratio (to detect closure of eyes) and measurement of mouth aspect ratio (to detect yawning).

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Install

pip install -r Requirements.txt

Usage

python Driver\ Drowsiness\ Detection.py

Author

πŸ‘€ Neelanjan Manna

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dependabot[bot] avatar neelanjan00 avatar

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driver-drowsiness-detection's Issues

Good

good idea!

Recognition efficiency

Hi
This is a very good project.
I tried it and found that the success rate of capturing human faces is relatively low, and it will be even lower if I wear glasses.

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