Driver Drowsiness Detection Using Deep Learning

Abstract

Abstract: The main reason for accidents worldwide is the sleepiness experienced by individuals operating vehicles. Fatigue and drowsiness are prevalent among numerous drivers due to insufficient rest and tiredness. The most effective approach to preventing road accidents resulting from drowsiness is to provide advance warnings to the driver. There are plentiful techniquesto detect drowsiness. The project, driver drowsiness detection using deep learning is implemented using a convolution neural network(CNN), an approach of deep learning. In this project first, we capture a person’s face with the help of a web camera after which with the help of the deep learning algorithm we predict if the person is drowsy or not. If the person is detected as drowsyit immediately rings an alarm to alert the person along with a warning voice message. The prime goal of this project is to alert drowsy people before the cause of accidents which helps us in preventing the cause of road due to drowsiness of the person