Real-time Driver Drowsiness Detection Using Deep Neural Networks

Authors

1 Faculty of Engineering Cairo University, Cairo, Egypt

2 Department of Artificial intelligence , College of Information Technology, Misr University for Science & Technology (MUST), 6th of October City 12566 , Egypt

3 Department of Artificial intelligence, College of Information Technology, Misr University for Science & Technology

Abstract

This paper presents a driver drowsiness  detection for accident prevention which is based on the curvature 
of the eye. Our attempt is to develop a deep learning model that  can use the input from a camera in real time by extracting the eyes  to detect the drowsiness of the drivers.This paper helps to resolve  the problem of drowsiness detection with an accuracy of 96% for  test and 99% for validation

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