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Driver Fatigue Monitoring and Warning System

Author(s):

Raut Shubham S. , Vishwabharti Academy's College of Engineering Ahmednagar; Shukla Vivek Y., Vishwabharti Academy's College of Engineering Ahmednagar; Shaikh Mohinuddin, Vishwabharti Academy's College of Engineering Ahmednagar; Prof. Rewaskar V. D., Vishwabharti Academy's College of Engineering Ahmednagar

Keywords:

Drowsiness Detection, Face Detecion & Tracking, Eye Detection and Tracking, Eye state, Eye Closure Detection

Abstract

The main purpose of this paper was to device a way to alert drowsy driver during driving. One of the cause of car accident comes from drowsiness of the driver. Therefore, this study attempt to calculate the level of drowsiness. The frequency of blinking of the eyes was used to determine whether or not a driver felt drowsy. We will propose an algorithm to locate, track and analyze eye to measure drowsiness associated with slow eye closure. Driver fatigue usually becomes a right away reason for several traffic accidents. Therefore, there is a need to develop the systems that will detect and notify a driver of her/him bad psychophysical condition, which could significantly reduce the number of fatigue-related car accidents. However, the event of such systems encounters several difficulties associated with quick and correct recognition of a driver’s fatigue symptoms. One of the technical potentialities to implement driver temporary state detection systems is to use the vision-based approach.

Other Details

Paper ID: IJSRDV6I110150
Published in: Volume : 6, Issue : 11
Publication Date: 01/11/2019
Page(s): 229-231

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