ISSN 2348-1196 (print) International Journal of Computer Science and Information Technology Research ISSN 2348-120X (online) Vol. 10, Issue 2, pp: (73-77), Month: April - June 2022, Available at: www.researchpublish.com
Driver Drowsiness Detection System using Embedded System 1
Radhika N. Gandhi, 2Parth R. Ambhorkar, 3Ayush A. Datir, 4Pratik R. Kale, 5 Prof. Shwetambari G. Pundkar 1,2,3,4
Department of Computer Science & Engineering, PRMIT&R, Badnera, Amravati
5
Department of Computer Science & Engineering, PRMIT&R, Badnera, Amravati DOI: https://doi.org/10.5281/zenodo.6573055
Published Date: 23-May-2022
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.
I. INTRODUCTION The attention level of driver decreases because of less sleep, long continuous driving or any other medical condition like brain disorders etc. Several surveys on road accidents says that around 40 percent of accidents are caused by fatigue of the driver. When human drives for more than normal period for human then excessive fatigue is caused and also results in tiredness which drives the driver to sleepy condition or loss of consciousness [1]. Drowsiness is a complex phenomenon which states that there is degrade in alerts and conscious levels of the driver. Though there are no direct measures to detect the drowsiness but several indirect methods can be used for this purpose [2]. The consequences of a drowsy driver are very dangerous that can lead to loss of lives, casualties and vehicle damage. As the most important safety factor, it is necessary to make some serious measures, in order to improve working conditions of drivers, so that negative consequences subjected by a drowsy driver can be minimized. Computer Science and Engineering contributes their responsible role for development and betterment of society by providing their valuable services in various fields belong to different aspects of life. Various different types of methods for measuring the drowsiness of the driver are mentioned which includes Vehicle based measures, Physiological measures, Behavioural measures [3]. Using these methods an intelligence system can be developed which would alert the driver in case of drowsy condition and prevent accidents. Depending on advantages and disadvantages the most precise method is chosen and proposed. Then the working for entire system development is explained. Then each frames are analysed to find face first. If a face is detected then the next task is to locate the eyes. After the positive result of detecting eye the amount of closure of eye is calculated and compared with the reference values for the drowsy state eye. If drowsy condition of driver is found out then driver is alarmed else repeatedly the loop of finding face and detecting drowsy condition is carried out [4].
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