Alert System for Drowsy Driver by Study the Eyes Closure Using IoT
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 lea...
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| Main Author: | |
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| Format: | Final Year Project Report |
| Language: | English English |
| Published: |
Universiti Malaysia Sarawak, (UNIMAS)
2019
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/33936/1/Nursyuhada%20Binti%20Amir%20Shariffuddin%20-%2024%20pgs.pdf http://ir.unimas.my/id/eprint/33936/2/Nursyuhada%20Binti%20Amir%20Shariffuddin.pdf http://ir.unimas.my/id/eprint/33936/ |
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| Summary: | 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 |
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