Drowsiness detection using CNN

Abstract

Driver drowsiness has become one of the leading causes of car accidents in recent years resulting in serious physical injuries, fatalities and substantial financial losses. According to statistics, are liable driver drowsiness detection system is needed to warn the driver before a collision occurs. Behavioural, physiological and vehicle based measures are used by researchers to assess driver drowsiness. A thorough examination of these measures will shed light on the current systems, their problems, and the improvements that must be made in order to create a reliable system. By doings other measures will reveal existing systems, their flaws and the changes that must be made in order to produce a credible system.