Abstract:

In the recent years drowsy driving is one of the major reasons of road accidents in the whole worldIt is very important to detect the drowsiness of the driver and alert him in order to save life and property. This paper presents a drowsiness detection system for automotive drivers and a detailed analysis of widely used classification techniques. Alcohol detection system is used to overcome the accidents due to drink and drive. Face being the important feature of humans; it is essential to detect the face accurately by overcoming the challenges of various expressions, head orientations etc. Various classification techniques are used to detect the eye, position of the eye and probability of openness of the eye determine the eye state. Different techniques are used to classify eye in three states like open, close or drowsy to give efficient results. Various levels of drowsiness are used to alert the driver, sound alerting system is used to keep the driver attentive by enabling a beep sound when driver drowsiness is detected. Voice alerting system is used to determine the drowsiness of the driver based on the responses given by the driver when the driver is drowsy. Also, we have discussed various algorithms that are used to detect face, eyes and eye state. This review paper provides a different approach to safeguard the driver and their vehicle. Hence, we can avoid road accidents.

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