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The Drowsiness Detection System uses computer vision and machine learning to monitor real-time alertness by analyzing facial features. It detects signs of drowsiness and triggers alerts to enhance safety, ideal for drivers and workplace monitoring. Built with OpenCV, dlib, and Python, the system is easy to set up and use.

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Name		Name	Last commit message	Last commit date
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03-driver-drowsiness-detection-EAR-points.png		03-driver-drowsiness-detection-EAR-points.png
README.md		README.md
alarm.wav		alarm.wav
images.png		images.png
project.txt		project.txt
sample.py		sample.py

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Hashitout_Garuda

Drowsiness detection project

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The Drowsiness Detection System uses computer vision and machine learning to monitor real-time alertness by analyzing facial features. It detects signs of drowsiness and triggers alerts to enhance safety, ideal for drivers and workplace monitoring. Built with OpenCV, dlib, and Python, the system is easy to set up and use.

opencv tensorflow keras-tensorflow drowsiness-detection

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Python 100.0%