Computer vision based driver assistance drowsiness detection

Emashharawi, Maryam J. S. and Khalifa, Othman Omran and Abdul Malik, Noreha and Abdul Malek, Norun Farihah (2022) Computer vision based driver assistance drowsiness detection. In: 12th National Technical Seminar on Unmanned System Technology, NUSYS 2020, 24-25 November 2020, Online.

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Abstract

Nowadays, drowsiness is a serious cause of traffic accidents, a problem of major concern to society. Driver fatigue or sleepiness decreases the driver’s reaction time, reduces attention, and affects the quality of decision making which impairs the driving experience. Therefore, in this paper, a drowsiness detection system is designed based on computer vision, using a cascade of classifiers based on Haar-like features. The system is able to detect the face and eyes of the driver and determine the eyes closure or opening, which concludes the drowsiness of the driver. The paper presents the five primary steps involves which are: video acquirement, frame separation, face detection, eyes detection and drowsiness detection.

Item Type:	Conference or Workshop Item (Other)
Uncontrolled Keywords:	Eyes detection Face detection Eye tracking Driver behaviour Driver assistance system
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr Othman O. Khalifa
Date Deposited:	22 Aug 2022 14:43
Last Modified:	22 Aug 2022 16:30
URI:	http://irep.iium.edu.my/id/eprint/99532

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