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
Published: 2010
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/1978/1/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis.pdf
http://umpir.ump.edu.my/id/eprint/1978/
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spelling my.ump.umpir.19782023-09-05T00:05:09Z 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 pdf en http://umpir.ump.edu.my/id/eprint/1978/1/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis.pdf Ani Syazana, Jasni (2010) Drowsiness detection for car assisted driver system using image processing analysis. Faculty Of Electrical & Electronic Engineering, Universiti Malaysia Pahang.
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language 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/1978/1/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis.pdf
http://umpir.ump.edu.my/id/eprint/1978/
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score 13.211869