Zainah, Md Zain and Mohd Shahril, Roseli and Nurul Athirah, Abdullah (2023) Enhancing driver safety : Real-time eye detection for drowsiness prevention driver assistance systems †. Engineering Proceedings, 46 (39). pp. 1-7. ISSN 2673-4591. (Published)
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Abstract
Drowsiness has become a significant contributing factor to traffic accidents in modern times, posing a major concern to society. Driver fatigue or sleepiness leads to decreased reaction time, diminished attention, and compromised decision-making abilities, thereby affecting the overall driving experience. This paper addresses this issue by proposing a drowsiness detection system based on image processing, utilizing a cascade of classifiers built on Haar-like features. The system effectively detects the eyes, allowing for determination of eye closure or opening, which serves as an indicator of driver drowsiness.
| Item Type: | Article |
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| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Driver assistance system; Eye detection; Eye tracking |
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical and Electronic Engineering Technology |
| Depositing User: | Mr Muhamad Firdaus Janih@Jaini |
| Date Deposited: | 07 Jan 2025 04:37 |
| Last Modified: | 07 Jan 2025 04:37 |
| URI: | http://umpir.ump.edu.my/id/eprint/42810 |
| Download Statistic: | View Download Statistics |
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