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In this repository you will find an efficient 'Real Time Driver Drowsiness Detection for an Intelligent Transportation System', that will work on various constraints like while wearing Eye Glasses, Mask etc.
This project is a real-time drowsiness detection system that uses computer vision and facial landmark analysis to monitor a user's alertness. It primarily relies on calculating two key metrics from live video input: the Eye Aspect Ratio (EAR) and the Mouth Aspect Ratio (MAR).