Drowsiness detection for car assisted driver system using image processing analysis

The current technology in digital computer system allows researchers around the world to study the fatigue behavior. Although the current technology of drowsiness detector has been created, it is lack of efficient since the detection is used ordinary sensor. This project is to develop a driver drows...

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Main Author:	Ani Syazana, Jasni
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/1978/ http://umpir.ump.edu.my/id/eprint/1978/ http://umpir.ump.edu.my/id/eprint/1978/1/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis%20-%20Table%20of%20content.pdf http://umpir.ump.edu.my/id/eprint/1978/2/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis%20-%20Abstract.pdf http://umpir.ump.edu.my/id/eprint/1978/13/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis%20-%20Chapter%201.pdf http://umpir.ump.edu.my/id/eprint/1978/14/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis%20-%20References.pdf

id	ump-1978
recordtype	eprints
spelling	ump-19782017-04-06T07:56:23Z http://umpir.ump.edu.my/id/eprint/1978/ Drowsiness detection for car assisted driver system using image processing analysis Ani Syazana, Jasni TA Engineering (General). Civil engineering (General) The current technology in digital computer system allows researchers around the world to study the fatigue behavior. Although the current technology of drowsiness detector has been created, it is lack of efficient since the detection is used ordinary sensor. This project is to develop a driver drowsiness detection system by using histogram analysis. It is known that a driver is under drowsiness influences by looking at the eyelid. Based on the previous research, there is none used histogram for analysis. The result can be not accurate because histogram analysis analyzed the whole image. Therefore, if the analysis area is not specified, the result will be not accurate and efficient. The retina movement shows the fatigue level of the driver. For example, if the driver’s eyes are closed about more than 5 seconds in the last 60 seconds, the driver considered as drowsiness. Based on the fact that driver’s eye movement can be used to recognize the level of drowsiness, a sensor can be developing by using image processing analysis in MATLAB. The image processing analysis that will be used is histogram analysis. This system will be developing only on software part 2010-12 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1978/1/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis%20-%20Table%20of%20content.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/1978/2/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis%20-%20Abstract.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/1978/13/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis%20-%20Chapter%201.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/1978/14/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis%20-%20References.pdf Ani Syazana, Jasni (2010) Drowsiness detection for car assisted driver system using image processing analysis. Faculty Of Electrical & Electronic Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:54942&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) Ani Syazana, Jasni Drowsiness detection for car assisted driver system using image processing analysis
description	The current technology in digital computer system allows researchers around the world to study the fatigue behavior. Although the current technology of drowsiness detector has been created, it is lack of efficient since the detection is used ordinary sensor. This project is to develop a driver drowsiness detection system by using histogram analysis. It is known that a driver is under drowsiness influences by looking at the eyelid. Based on the previous research, there is none used histogram for analysis. The result can be not accurate because histogram analysis analyzed the whole image. Therefore, if the analysis area is not specified, the result will be not accurate and efficient. The retina movement shows the fatigue level of the driver. For example, if the driver’s eyes are closed about more than 5 seconds in the last 60 seconds, the driver considered as drowsiness. Based on the fact that driver’s eye movement can be used to recognize the level of drowsiness, a sensor can be developing by using image processing analysis in MATLAB. The image processing analysis that will be used is histogram analysis. This system will be developing only on software part
format	Undergraduates Project Papers
author	Ani Syazana, Jasni
author_facet	Ani Syazana, Jasni
author_sort	Ani Syazana, Jasni
title	Drowsiness detection for car assisted driver system using image processing analysis
title_short	Drowsiness detection for car assisted driver system using image processing analysis
title_full	Drowsiness detection for car assisted driver system using image processing analysis
title_fullStr	Drowsiness detection for car assisted driver system using image processing analysis
title_full_unstemmed	Drowsiness detection for car assisted driver system using image processing analysis
title_sort	drowsiness detection for car assisted driver system using image processing analysis
publishDate	2010
url	http://umpir.ump.edu.my/id/eprint/1978/ http://umpir.ump.edu.my/id/eprint/1978/ http://umpir.ump.edu.my/id/eprint/1978/1/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis%20-%20Table%20of%20content.pdf http://umpir.ump.edu.my/id/eprint/1978/2/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis%20-%20Abstract.pdf http://umpir.ump.edu.my/id/eprint/1978/13/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis%20-%20Chapter%201.pdf http://umpir.ump.edu.my/id/eprint/1978/14/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis%20-%20References.pdf
first_indexed	2023-09-18T21:55:23Z
last_indexed	2023-09-18T21:55:23Z
_version_	1777414044464971776

Drowsiness detection for car assisted driver system using image processing analysis

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