10 April 2018 Microcontroller based driver alertness detection systems to detect drowsiness
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Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106150R (2018) https://doi.org/10.1117/12.2303552
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China
Abstract
The advancement of embedded system for detecting and preventing drowsiness in a vehicle is a major challenge for road traffic accident systems. To prevent drowsiness while driving, it is necessary to have an alert system that can detect a decline in driver concentration and send a signal to the driver. Studies have shown that traffic accidents usually occur when the driver is distracted while driving. In this paper, we have reviewed a number of detection systems to monitor the concentration of a car driver and propose a portable Driver Alertness Detection System (DADS) to determine the level of concentration of the driver based on pixelated coloration detection technique using facial recognition. A portable camera will be placed at the front visor to capture facial expression and the eye activities. We evaluate DADS using 26 participants and have achieved 100% detection rate with good lighting condition and a low detection rate at night.
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Hasibah Adenin, Hasibah Adenin, Rahimi Zahari, Rahimi Zahari, Tiong Hoo Lim, Tiong Hoo Lim, } "Microcontroller based driver alertness detection systems to detect drowsiness", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106150R (10 April 2018); doi: 10.1117/12.2303552; https://doi.org/10.1117/12.2303552
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