Sleepiness State Detection and Alert System

Abstract

Drowsy driving is obviously one of the most dangerous action being taken on the road, which makes drivers unable to pay attention and react quickly. The most common reasons behind include sleep disorder, medications or drink driving and as a result causing fatal crashes and it is not easy to be resolved. However, with aids of face detection technology, accidents arise by drowsy driver could be prevented. The project aims at developing a mobile application base on image processing technique so as to help users avoiding car accident in case they fall asleep during driving. This was achieved by making use of OpenCV face detection library for Android mobile application development. It is a computer vision technology allowing computer to identify whether drivers are in sleepiness state and gives alert with proper functions and algorithms implemented. Results showed that symptoms of sleepiness state including frequently blinking, eye keeping closed and sudden head dropping movement could be identified and alerted users to stop driving immediately. Nevertheless, further studies could be done on including more symptoms of sleepiness state to enhance hit rate of the mobile application.