Driver Drowsiness Detection using Machine Learning

Driver Drowsiness Detection using Machine Learning

Himnish Nirwan

(Information Technology scholar at Maharaja Agrasen Institute of Technology, Delhi-India)

Under supervision of:-

Ms. Vandana Choudhary

(Assistant Professor, Department of IT , Maharaja Agrasen Institute of Technology, Delhi-India)

Abstract.

Driver drowsiness is a condition where the driver operating on the automobile is about to nod off or sleep which is caused by various factors, which can impair and hinder safe driving, including biological, physical, psychological, and other various factors. Accidents through driver drowsiness are observed especially in the case where journeys are long-distance, and sleep-deprivation also plays the role of a prominent determining parameter.

There are extensive number of accidents caused by driver drowsiness and these are of major safety concern, hence it is of critical importance to come up with some mechanism that can combat and prevent such road accidents to save precious lives. Thanks to technological advancements we can deploy systems that can detect driver drowsiness. In this paper, we would be reviewing the various techniques that can be used to implement a system for the detection of driver drowsiness.