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Real-Time Drowsiness Detection System by atulll.singhh is a document available to read on EtoBox.

What is Real-Time Drowsiness Detection System about?

The document outlines a real-time drowsiness detection system aimed at enhancing road safety by identifying driver fatigue using OpenCV and Keras. It details the methodology, existing systems, and proposed improvements, emphasizing the use of facial landmarks and deep learning algorithms for accurate detection and alerting mechanisms. The proposed system aims to be cost-effective, non-intrusive, and capable of real-time monitoring to prevent accidents caused by drowsy driving.

Author

atulll.singhh

Language

EN