Enhancing driver safety : Real-time eye detection for drowsiness prevention driver assistance systems †
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 exper...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Multidisciplinary Digital Publishing Institute (MDPI)
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/42810/ http://umpir.ump.edu.my/id/eprint/42810/1/Enhancing%20driver%20safety_Real-time%20eye%20detection%20for%20drowsiness%20prevention%20driver.pdf |
| _version_ | 1848826706917326848 |
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| author | Zainah, Md Zain Mohd Shahril, Roseli Nurul Athirah, Abdullah |
| author_facet | Zainah, Md Zain Mohd Shahril, Roseli Nurul Athirah, Abdullah |
| author_sort | Zainah, Md Zain |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T03:49:05Z |
| format | Article |
| id | ump-42810 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:49:05Z |
| publishDate | 2023 |
| publisher | Multidisciplinary Digital Publishing Institute (MDPI) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-428102025-01-07T04:37:51Z http://umpir.ump.edu.my/id/eprint/42810/ Enhancing driver safety : Real-time eye detection for drowsiness prevention driver assistance systems † Zainah, Md Zain Mohd Shahril, Roseli Nurul Athirah, Abdullah T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering 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. Multidisciplinary Digital Publishing Institute (MDPI) 2023 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/42810/1/Enhancing%20driver%20safety_Real-time%20eye%20detection%20for%20drowsiness%20prevention%20driver.pdf 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) https://doi.org/10.3390/engproc2023046039 https://doi.org/10.3390/engproc2023046039 |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Zainah, Md Zain Mohd Shahril, Roseli Nurul Athirah, Abdullah Enhancing driver safety : Real-time eye detection for drowsiness prevention driver assistance systems † |
| title | Enhancing driver safety : Real-time eye detection for drowsiness prevention driver assistance systems † |
| title_full | Enhancing driver safety : Real-time eye detection for drowsiness prevention driver assistance systems † |
| title_fullStr | Enhancing driver safety : Real-time eye detection for drowsiness prevention driver assistance systems † |
| title_full_unstemmed | Enhancing driver safety : Real-time eye detection for drowsiness prevention driver assistance systems † |
| title_short | Enhancing driver safety : Real-time eye detection for drowsiness prevention driver assistance systems † |
| title_sort | enhancing driver safety : real-time eye detection for drowsiness prevention driver assistance systems † |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/42810/ http://umpir.ump.edu.my/id/eprint/42810/ http://umpir.ump.edu.my/id/eprint/42810/ http://umpir.ump.edu.my/id/eprint/42810/1/Enhancing%20driver%20safety_Real-time%20eye%20detection%20for%20drowsiness%20prevention%20driver.pdf |