A computer vision-based alarming system for real-time detection of driver sleep
Driver’s alertness on road is very important in order to avoid any misfortunate accidents that can lead to injuries and in some worst case, death. The statistics proves that one of the significant factors that cause car crash is the driver sleepiness. In order to prevent any future accident...
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my.iium.irep.39041 http://irep.iium.edu.my/39041/ A computer vision-based alarming system for real-time detection of driver sleep Khalifa, Othman Omran Mohd Ariffian amnah, Shera Shahida T10.5 Communication of technical information Driver’s alertness on road is very important in order to avoid any misfortunate accidents that can lead to injuries and in some worst case, death. The statistics proves that one of the significant factors that cause car crash is the driver sleepiness. In order to prevent any future accidents and as well as to prevent the driver from falling asleep during driving, this project is proposed. In this project, a proposed computer vision-based alarming system for real-time of driver sleep is presented. The system is suitable for driver monitoring as it does not disturb the driver with his driving. The proposed system involves the detection of the face of the driver with the help of a camera. Then, the facial features extraction is done for further processing. After that, the driver’s eye state whether it is open or closed is then determined. If the eyes of the driver are closed for some particular time, a warning is issued and thus generates the alarm 2014-09 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/39041/1/1118.pdf application/pdf en http://irep.iium.edu.my/39041/2/Main.pdf Khalifa, Othman Omran and Mohd Ariffian amnah, Shera Shahida (2014) A computer vision-based alarming system for real-time detection of driver sleep. In: 5th International Conference on Computer and Communication Engineering (ICCCE 2014), 23th - 25th September 2014, Kuala Lumpur. |
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T10.5 Communication of technical information Khalifa, Othman Omran Mohd Ariffian amnah, Shera Shahida A computer vision-based alarming system for real-time detection of driver sleep |
description |
Driver’s alertness on road is very important in order
to avoid any misfortunate accidents that can lead to injuries and
in some worst case, death. The statistics proves that one of the
significant factors that cause car crash is the driver sleepiness. In
order to prevent any future accidents and as well as to prevent
the driver from falling asleep during driving, this project is
proposed. In this project, a proposed computer vision-based
alarming system for real-time of driver sleep is presented. The
system is suitable for driver monitoring as it does not disturb the
driver with his driving. The proposed system involves the
detection of the face of the driver with the help of a camera.
Then, the facial features extraction is done for further
processing. After that, the driver’s eye state whether it is open or
closed is then determined. If the eyes of the driver are closed for
some particular time, a warning is issued and thus generates the
alarm |
format |
Conference or Workshop Item |
author |
Khalifa, Othman Omran Mohd Ariffian amnah, Shera Shahida |
author_facet |
Khalifa, Othman Omran Mohd Ariffian amnah, Shera Shahida |
author_sort |
Khalifa, Othman Omran |
title |
A computer vision-based alarming system for
real-time detection of driver sleep |
title_short |
A computer vision-based alarming system for
real-time detection of driver sleep |
title_full |
A computer vision-based alarming system for
real-time detection of driver sleep |
title_fullStr |
A computer vision-based alarming system for
real-time detection of driver sleep |
title_full_unstemmed |
A computer vision-based alarming system for
real-time detection of driver sleep |
title_sort |
computer vision-based alarming system for
real-time detection of driver sleep |
publishDate |
2014 |
url |
http://irep.iium.edu.my/39041/1/1118.pdf http://irep.iium.edu.my/39041/2/Main.pdf http://irep.iium.edu.my/39041/ |
_version_ |
1643616736487931904 |
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13.211869 |