Drowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware

The purpose of this study is to detect drowsiness in drivers to prevent accidents and to improve safety on the highways. A method for detecting drowsiness/sleepiness in drivers is developed by using a camera that point directly towards the driver’s face and capture for the video. Once the video is c...

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Main Author:	Huong, Nice Quan
Format:	Undergraduates Project Papers
Language:	English English English English
Published:	2010
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/1983/ http://umpir.ump.edu.my/id/eprint/1983/ http://umpir.ump.edu.my/id/eprint/1983/1/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis-interfacing%20with%20hardware%20%28Table%20of%20content%29.pdf http://umpir.ump.edu.my/id/eprint/1983/7/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis-interfacing%20with%20hardware%20%28Abstract%29.pdf http://umpir.ump.edu.my/id/eprint/1983/13/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis-interfacing%20with%20hardware%20%28Chapter%201%29.pdf http://umpir.ump.edu.my/id/eprint/1983/14/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis-interfacing%20with%20hardware%20%28References%29.pdf

id	ump-1983
recordtype	eprints
spelling	ump-19832017-04-07T06:40:05Z http://umpir.ump.edu.my/id/eprint/1983/ Drowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware Huong, Nice Quan TA Engineering (General). Civil engineering (General) The purpose of this study is to detect drowsiness in drivers to prevent accidents and to improve safety on the highways. A method for detecting drowsiness/sleepiness in drivers is developed by using a camera that point directly towards the driver’s face and capture for the video. Once the video is captured, monitoring the face region and eyes in order to detect drowsy/fatigue. The system able to monitoring eyes and determines whether the eyes are in an open position or closed state. In such a case when drowsy is detected, a warning signal is issued to alert the driver. It can determine a time proportion of eye closure as the proportion of a time interval that the eye is in the closed position. If the driver’s eyes are closed cumulatively more than a standard value, the system draws the conclusion that the driver is falling asleep, and then it will activate an alarm sound to alert the driver 2010-12 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1983/1/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis-interfacing%20with%20hardware%20%28Table%20of%20content%29.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/1983/7/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis-interfacing%20with%20hardware%20%28Abstract%29.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/1983/13/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis-interfacing%20with%20hardware%20%28Chapter%201%29.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/1983/14/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis-interfacing%20with%20hardware%20%28References%29.pdf Huong, Nice Quan (2010) Drowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware. Faculty Of Electrical & Electronic Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:54804&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English English English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Huong, Nice Quan Drowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware
description	The purpose of this study is to detect drowsiness in drivers to prevent accidents and to improve safety on the highways. A method for detecting drowsiness/sleepiness in drivers is developed by using a camera that point directly towards the driver’s face and capture for the video. Once the video is captured, monitoring the face region and eyes in order to detect drowsy/fatigue. The system able to monitoring eyes and determines whether the eyes are in an open position or closed state. In such a case when drowsy is detected, a warning signal is issued to alert the driver. It can determine a time proportion of eye closure as the proportion of a time interval that the eye is in the closed position. If the driver’s eyes are closed cumulatively more than a standard value, the system draws the conclusion that the driver is falling asleep, and then it will activate an alarm sound to alert the driver
format	Undergraduates Project Papers
author	Huong, Nice Quan
author_facet	Huong, Nice Quan
author_sort	Huong, Nice Quan
title	Drowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware
title_short	Drowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware
title_full	Drowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware
title_fullStr	Drowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware
title_full_unstemmed	Drowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware
title_sort	drowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware
publishDate	2010
url	http://umpir.ump.edu.my/id/eprint/1983/ http://umpir.ump.edu.my/id/eprint/1983/ http://umpir.ump.edu.my/id/eprint/1983/1/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis-interfacing%20with%20hardware%20%28Table%20of%20content%29.pdf http://umpir.ump.edu.my/id/eprint/1983/7/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis-interfacing%20with%20hardware%20%28Abstract%29.pdf http://umpir.ump.edu.my/id/eprint/1983/13/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis-interfacing%20with%20hardware%20%28Chapter%201%29.pdf http://umpir.ump.edu.my/id/eprint/1983/14/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis-interfacing%20with%20hardware%20%28References%29.pdf
first_indexed	2023-09-18T21:55:24Z
last_indexed	2023-09-18T21:55:24Z
_version_	1777414045173809152

Drowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware

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