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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Bibliographic Details
Main Author: Huong, Nice Quan
Format: Undergraduates Project Papers
Language:English
Published: 2010
Subjects:
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
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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