Driver Drowsiness Detection and Monitoring System (DDDMS)

Raz Amzar, Fahimi Rozali and Suzi Iryanti, Fadilah and Azizul Rahman, Mohd Shariff and Khuzairi, Mohd Zaini and Fatima, Karim and Mohd Helmy, Abd Wahab and Rajan, Thangaveloo and Abdul Samad, Shibghatullah (2022) Driver Drowsiness Detection and Monitoring System (DDDMS). (IJACSA) International Journal of Advanced Computer Science and Applications, 13 (6). pp. 769-775. ISSN 2156-5570

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Abstract

—The purpose of this paper is to develop a driver drowsiness and monitoring system that could act as an assistant to the driver during the driving process. The system is aimed at reducing fatal crashes caused by driver’s drowsiness and distraction. For drowsiness, the system operates by analysing eye blinks and yawn frequency of the driver while for distraction, the system works based on the head pose estimation and eye tracking. The alarm will be triggered if any of these conditions occur. Main part of the implementation of this system will be using python with computer vision, while Raspberry Pi, which is uniquely designed, for the hardware platform and the speaker for alarming. In short, this driver drowsiness monitoring system can always monitor drivers so as to avoid accidents in real time.

Item Type: Article
Uncontrolled Keywords: Distraction; drowsiness; eye blink; yawn; head pose estimation; eye tracking; computer vision; Raspberry Pi.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Gani
Date Deposited: 12 Sep 2022 07:36
Last Modified: 12 Sep 2022 07:36
URI: http://ir.unimas.my/id/eprint/39643

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