Driver Drowsiness Detection System using Embedded System

Radhika N. Gandhi, Parth R. Ambhorkar, Ayush A. Datir, Pratik R. Kale, Prof. Shwetambari G. Pundkar

Abstract: In recent years driver fatigue is one of the major causes of road accidents in the world. A through way of measuring driver fatigue is measuring the state of the driver drowsiness. So it is very important to detect the fatigue of the driver to save life and property. This project is aimed towards developing a system of drowsiness detection system. This prototype is a real time system which captures image continuously and measures the state of the eye according to the specified algorithm and gives warning if required. Though there are several methods for measuring the fatigue but this approach is completely non-intrusive which does not affect the driver in any way, hence giving the exact condition of the driver. For detection of drowsiness the per closure value of eye is calculated. So when the closure of eye exceeds a certain value then the driver is detected to be sleepy.

Keywords:  Driver fatigue, Fatigue detection, Driver monitoring system, Face detection.

Title: Driver Drowsiness Detection System using Embedded System

Author: Radhika N. Gandhi, Parth R. Ambhorkar, Ayush A. Datir, Pratik R. Kale, Prof. Shwetambari G. Pundkar

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 10, Issue 2, April 2022 - June 2022

Page No: 73-77

Research Publish Journals

Website: www.researchpublish.com

Published Date: 23-May-2022

DOI: https://doi.org/10.5281/zenodo.6573055

Vol. 10, Issue 2, April 2022 - June 2022

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Driver Drowsiness Detection System using Embedded System by Radhika N. Gandhi, Parth R. Ambhorkar, Ayush A. Datir, Pratik R. Kale, Prof. Shwetambari G. Pundkar