Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Development of a Drowsiness Detection System using Machine Vision

머신 비젼을 이용한 졸음 감지 시스템 개발

  • Kang, Su Min (Department of Electronics Engineering, Dankook University) ;
  • Huh, Kyung Moo (Department of Electronics Engineering, Dankook University)
  • 강수민 (단국대학교 전자공학과) ;
  • 허경무 (단국대학교 전자공학과)
  • Received : 2015.08.21
  • Accepted : 2015.11.14
  • Published : 2016.04.01
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Abstract

In this paper, we propose a technique of drowsiness detection using machine vision. The drowsiness of vehicle driver is often the primary cause of motor vehicle accidents. Therefore, the checking of eye images for detecting drowsiness status of driver is critical for preventing these accidents. In our suggested method, we analyze the changes of histogram and edge of eye region images which are acquired using CCD camera. We developed a drowsiness detection system using the histogram and edge change information. The experimental results show that our proposed method enhances the accuracy of detecting drowsiness nearly to 98%, and can be used for preventing vehicle accidents due to the drowsiness of drivers.

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References

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