Driver Drowsiness Detection Using Machine Learning Algorithm

Abstract

It is just a short time until self-driving vehicles become omnipresent; be that as it may, human driving management will stay a need for quite a long time. Driver Drowsiness is one of the significant reasons of roadways accidents these days. Hence fatigue and drowsiness detection play a major role in preventing the road accidents. Every year, because of this there is an increase in the number of deaths and injuries globally. Recently, in this decade, many images processing-based approaches were created and used to detect driver's drowsiness status. To minimize the number of accidents, a method is proposed in this paper. The algorithm focuses on the eye closure and yawning ratios. The driver is alarmed, if he/she is feeling sleepy.