Abstract
The objective of this study was to develop a drowsiness detection system that can help to reduce traffic accidents caused by drivers who are feeling sleepy. The approach employed in this study involved the use of behavioral measures to monitor the driver's face. The study utilized a prototyping application development model, involving five cycles of testing and refinement. The results showed that the accuracy of the system prototype increased by 21.8% compared to previous research. The system prototype was integrated into a PC application that generates an alert sound for five seconds when a drowsy driver is detected. Testing of the application showed that the drowsiness detection system performed well.
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