Driver Drowsiness Detection Using Face Expression Recognition

Abstract

This paper concentrates on detecting the drowsiness in the driver based on their facial expressions using Machine Learning. Many facial expressions can be fed to the system so that it will be able to distinguish between the exact point of drowsiness and other types of expressions. The model we used is CNN(Convolutional Neural Networks).The CNN is used to give scores according to the eye opening and closing time of the person and alert is sent. For score zero the eye will be wide open, and score will be increasing according to the time the eye remains close. Alert will be send immediately to alert the person if the eye remains close for a long time.