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

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.

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Drowsiness detection for car assisted driver system using image processing analysis-interfacing with hardware (Abstract).pdf - Accepted Version

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Abstract

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

Item Type: Undergraduates Project Papers
Additional Information: Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010; Dr. Kamarul Hawari bin Ghazali
Uncontrolled Keywords: Image processing; Drowsiness
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Syed Mohd Faiz
Date Deposited: 06 Jan 2012 02:53
Last Modified: 07 Apr 2017 06:40
URI: http://umpir.ump.edu.my/id/eprint/1983
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