Alert System for Drowsy Driver by Study the Eyes Closure Using IoT

Nursyuhad, Amir Shariffuddin (2019) Alert System for Drowsy Driver by Study the Eyes Closure Using IoT. [Final Year Project Report] (Unpublished)

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Abstract

After long hours of driving or in the absence of mental alertness, the driver's eyelids will become heavy due to fatigue. The driver's concentration begins to lose focus and when this happen, a sound feedback will be produce to wake up the drive. Drowsiness is dangerous because it can lead to an accident. Therefore, a solution have been proposed with the use of IoT. The concept of this proposed system is to detect driver’s drowsiness by doing facial landmark where if face is found, facial landmark detect and extract eye region then compute the eye aspect ratio and the eyes closure patterns will be studied. Besides, this system will alert the driver with the sound feedback if drowsy is detected and will allow the third party to keep the record of driver’s behaviour while driving by using Pushbullet application and can get notified by Pushbullet application if the driver is detected with drowsiness. In addition, this project helps to reduce the chance of accident by giving alert to the driver and help the associated person to do an employee evaluation based on the record of driver’s behaviour while driving

Item Type: Final Year Project Report
Additional Information: Project Report (BSc.) -- Universiti Malaysia Sarawak, 2019.
Uncontrolled Keywords: Pushbullet application, mental alertness, driver, alert system.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Gani
Date Deposited: 20 Jan 2021 05:09
Last Modified: 20 Jan 2021 05:09
URI: http://ir.unimas.my/id/eprint/33936

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