• ISSN: 2010-0248 (Print)
    • Abbreviated Title: Int. J. Innov.  Manag. Technol.
    • Frequency: Quarterly (since 2021); Bimonthly (2010-2020)
    • DOI: 10.18178/IJIMT
    • Editor-in-Chief: Prof. Jin Wang
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: Google Scholar, CNKI, Ulrich's Periodicals Directory,  Crossref and ProQuest, Electronic Journals Library.
    • E-mail: ijimt@ejournal.net
IJIMT 2012 Vol.3(4): 480-486 ISSN: 2010-0248
DOI: 10.7763/IJIMT.2012.V3.280

Efficient Car Alarming System for Fatigue Detection during Driving

Muhammad Fahad Khan and Farhan Aadil

Abstract—Driver inattention is one of the main causes of traffic accidents. Monitoring a driver to detect inattention is a complex problem that involves physiological and behavioral elements. Different approaches have been made, and among them Computer Vision has the potential of monitoring the person behind the wheel without interfering with his driving.
A computer vision system for driving monitoring uses face location and tracking as the first processing stage. On the next stage the different facial features are extracted and tracked for monitoring the driver’s vigilance. In this thesis I have developed a system that can monitor the alertness of drivers in order to prevent people from falling asleep at the wheel. The other main aim of this algorithm is to have efficient performance on low quality webcam and without the use of infrared light which is harmful for the human eye. Motor vehicle accidents cause injury and death, and this system will help to decrease the amount of crashes due to fatigued drivers. The proposed algorithm will work in three main stages. In first stage the face of the driver is detected and tracked. In these cond stage the facial features are extracted for further processing. In last stage the most crucial parameter is monitored which is eye’s status. In this last stage it is determined that whether the eyes are closed or open. On the basis of this result the warning is issued to the driver to take a break.

Index Terms—Digital image processing, video analytics, computer vision.


The authors are with the Computer Engineering Department, University of Engineering and Technology, Taxila, Pakistan(fahad.khan@uettaxila.edu.pk; farhan.aadil@uettaxila.edu.pk).



Cite: Muhammad Fahad Khan and Farhan Aadil, "Efficient Car Alarming System for Fatigue Detection during Driving," International Journal of Innovation, Management and Technology vol. 3, no. 4, pp. 480- 486, 2012.

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