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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Format: | Undergraduates Project Papers |
Language: | English |
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2010
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Online Access: | http://umpir.ump.edu.my/id/eprint/1983/1/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis-interfacing%20with%20hardware.pdf |
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author | Huong, Nice Quan |
author_facet | Huong, Nice Quan |
author_sort | Huong, Nice Quan |
collection | UMP |
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 |
first_indexed | 2024-03-06T11:37:50Z |
format | Undergraduates Project Papers |
id | UMPir1983 |
institution | Universiti Malaysia Pahang |
language | English |
last_indexed | 2024-03-06T11:37:50Z |
publishDate | 2010 |
record_format | dspace |
spelling | UMPir19832023-09-05T00:08:22Z 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 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.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. |
spellingShingle | TA Engineering (General). Civil engineering (General) Huong, Nice Quan Drowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware |
title | 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_short | 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 |
topic | TA Engineering (General). Civil engineering (General) |
url | http://umpir.ump.edu.my/id/eprint/1983/1/Drowsiness%20detection%20for%20car%20assisted%20driver%20system%20using%20image%20processing%20analysis-interfacing%20with%20hardware.pdf |
work_keys_str_mv | AT huongnicequan drowsinessdetectionforcarassisteddriversystemusingimageprocessinganalysisinterfacingwithhardware |