Real-time driver drowsiness detection using MediaPipe FaceMesh + CNN/BiLSTM hybrid. Detects eye closure, yawning and head pose via facial landmarks with personal calibration and audible alerts. This ...
The project involves creating a real-time system that can continuously analyze a person's facial features, especially the eyes, to determine if they are showing signs of drowsiness. Drowsiness ...
Abstract: This paper provides a detailed study to detect the langour of the driver using python programming language and haar training algorithm to identify the eye movements of the driver by ...
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