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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| Format: | Final Year Project Report / IMRAD |
| Language: | en en |
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Universiti Malaysia Sarawak, (UNIMAS)
2019
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| 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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| _version_ | 1831811487958564864 |
|---|---|
| author | Nursyuhad, Amir Shariffuddin |
| author_facet | Nursyuhad, Amir Shariffuddin |
| author_sort | Nursyuhad, Amir Shariffuddin |
| building | Centre for Academic Information Services (CAIS) |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Sarawak |
| content_source | UNIMAS Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | 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 |
| format | Final Year Project Report / IMRAD |
| id | my.unimas.ir-33936 |
| institution | Universiti Malaysia Sarawak |
| language | en en |
| publishDate | 2019 |
| publisher | Universiti Malaysia Sarawak, (UNIMAS) |
| record_format | eprints |
| spelling | my.unimas.ir-339362021-01-20T05:09:40Z http://ir.unimas.my/id/eprint/33936/ Alert System for Drowsy Driver by Study the Eyes Closure Using IoT Nursyuhad, Amir Shariffuddin QA75 Electronic computers. Computer science 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 Universiti Malaysia Sarawak, (UNIMAS) 2019 Final Year Project Report / IMRAD NonPeerReviewed text en http://ir.unimas.my/id/eprint/33936/1/Nursyuhada%20Binti%20Amir%20Shariffuddin%20-%2024%20pgs.pdf text en http://ir.unimas.my/id/eprint/33936/2/Nursyuhada%20Binti%20Amir%20Shariffuddin.pdf Nursyuhad, Amir Shariffuddin (2019) Alert System for Drowsy Driver by Study the Eyes Closure Using IoT. [Final Year Project Report / IMRAD] (Unpublished) |
| spellingShingle | QA75 Electronic computers. Computer science Nursyuhad, Amir Shariffuddin Alert System for Drowsy Driver by Study the Eyes Closure Using IoT |
| title | Alert System for Drowsy Driver by Study the Eyes Closure Using IoT |
| title_full | Alert System for Drowsy Driver by Study the Eyes Closure Using IoT |
| title_fullStr | Alert System for Drowsy Driver by Study the Eyes Closure Using IoT |
| title_full_unstemmed | Alert System for Drowsy Driver by Study the Eyes Closure Using IoT |
| title_short | Alert System for Drowsy Driver by Study the Eyes Closure Using IoT |
| title_sort | alert system for drowsy driver by study the eyes closure using iot |
| topic | QA75 Electronic computers. Computer science |
| url | 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/ |
| url_provider | http://ir.unimas.my/ |