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Avanish Bhatt, Anuradha Rathore
Student, Acropolis Institute Of Technology And Research, Indore
Abstract
Driver drowsiness is one of the major causes of accidents in the world. Detecting the drowsiness of the driver is one of the surest ways of measuring driver fatigue. The drowsiness detection system works by monitoring the eyes of the driver and then sounding an alarm when he/she is drowsy. This document is a review report on the research conducted and the project made in the field of computer engineering to develop a system for driver drowsiness detection to prevent accidents from happening because of driver fatigue and sleepiness. The report proposed the results and solutions on the limited implementation of the various techniques that are introduced in the project. Whereas the implementation of the project give the real world idea of how the system works and what changes can be done in order to improve the utility of the overall system. Drowsiness detection approach based on the combination of several different detection methods, with robustness to the input signal loss. Car accident is the major cause of death in which around 1.3 million people die every year. Majority of these accidents are caused because of distraction or the drowsiness of driver. To prevent such accidents we proposed this system which alerts the driver if he gets distracted or feels drowsy. Since it alerts the driver the chances of accident occurrence is greatly reduced which is quite helpful for avoiding crashes caused by drowsiness related cases
Keywords: Driver drowsiness; eye detection; yawn detection; blink pattern; fatigue
Journal Name :
EPRA International Journal of Research & Development (IJRD)

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Published on : 2021-07-05

Vol : 6
Issue : 7
Month : July
Year : 2021
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