Abstract
Abstract: Driving while being drowsy has become one of the major reasons of causing road accidents. Drivers who drive at night or for a long distance without resting are more prone to get involved in an accident. Large amount of fatal injuries and deaths occur because of this reason. Hence, it has become an active area of research. Various systems exist for this purpose which makes use of behavioural patterns. Behavioural patterns considered here are visual behaviours of drive like eye blinking, eye closing, yawning, head bending etc. Most of these methods are time consuming and expensive. Recently, in research and development, machine learning methods have been used to predict a driver's conditions. Those conditions can be used as information that will improve road safety. Machine Learning has brought progression in video processing which enables images to be analysed with accuracy. Keywords: Drowsiness detection, OpenCV, Dlib, Driver Drowsiness, Eye-state analysis.
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