Driver Drowsiness Detection using Machine Learning

Abstract

Consistently numerous individuals lose their lives because of deadly street accidents; driver drowsiness is one of the major reasons for traffic accidents around the world. 1 in 4 vehicle mishaps are brought about by drowsy driving. drowsy driving simply nodding off while driving. Drowsy driving can be as little as a concise condition of obviousness when the driver isn't giving full consideration to the road. To forestall such mishaps, it is important to identify driver laziness as early as possible. The traditional method to recognize tiredness depend behavioural aspects. A comparative analysis is done using machine learning algorithms with Logistic Regression, Naïve Bayes, K-Nearest Neighbor and Random Forest.