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Proceedings Paper

Microcontroller based driver alertness detection systems to detect drowsiness
Author(s): Hasibah Adenin; Rahimi Zahari; Tiong Hoo Lim
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Paper 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.

Paper Details

Date Published: 10 April 2018
PDF: 5 pages
Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106150R (10 April 2018); doi: 10.1117/12.2303552
Show Author Affiliations
Hasibah Adenin, Univ. Teknologi Brunei (Brunei Darussalam)
Rahimi Zahari, Univ. Teknologi Brunei (Brunei Darussalam)
Tiong Hoo Lim, Univ. Teknologi Brunei (Brunei Darussalam)

Published in SPIE Proceedings Vol. 10615:
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
Hui Yu; Junyu Dong, Editor(s)

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