Microcontroller based driver alertness detection systems to detect drowsiness

Hasibah Adenin; Rahimi Zahari; Tiong Hoo Lim

doi:10.1117/12.2303552

10 April 2018 Microcontroller based driver alertness detection systems to detect drowsiness

Hasibah Adenin, Rahimi Zahari, Tiong Hoo Lim

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.

Citation Download Citation

Hasibah Adenin, Rahimi Zahari, and 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); https://doi.org/10.1117/12.2303552

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