Improved Driver Drowsiness Monitoring System using Real-time Eye Blinking Method

Volume 17 , Issue 4 , December 2015 , Pages 9-18

Authors

¹ Faculty of Science and Science Educations, Computer Department, University of Sulaimani, Kurdistan Region, Iraq

² School of Basic Education, Computer Department, University of Sulaimani, Kurdistan Region, Iraq.

Drivers with a diminished vigilance level suffer from a marked decline in their

perception; recognition and vehicle control abilities and therefore pose a serious danger

to their own lives and the lives of the other people. According to the National Highway

Traffic Safety Administration (NHTSA), about 100,000 crashes are the direct result of

driver drowsiness each year. This is the reason why more and more researches are

made to build automatic detectors of this dangerous state. In this paper, an efficient

drowsiness detection system based on eye state (close and open) is developed.The

camera should be fixed in front of the drivers to capture real time frames. After that,

the results from the camera (new frames) are subject to the some vision-based

algorithm to detect the eyes. Finally, the eye blink detection is applied to determine the

state of eyes. There are two states: open state and close state. Based on eye state the

warming alarm or telephone calling should be done to the drivers for preventing

undesired accident. The proposed system will be tested with different light conditions,

namely, day and night vision to show the performance in term of efficiency and

accuracy. The results explain that the proposed system which is based on Android

platform has a high accuracy rate (%97.2) for drowsiness detection especially during

the night vision.

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