Drowsy driver detection using Viola-Jones Algorithm / Wan Nurul Adlina Wan Sallehuddin ... [et al.]
Drowsy driving is one of the factors that lead to road accidents which can cause dead. This is because driver does not able to give fully attention while driving. There are many factors that lead to driver drowsiness such as driving for a long time, do not have enough sleep and shift work. Thus, thi...
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| Format: | Article |
| Language: | en |
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Universiti Teknologi MARA, Perak
2021
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| Online Access: | https://ir.uitm.edu.my/id/eprint/61549/1/61549.pdf https://ir.uitm.edu.my/id/eprint/61549/ https://mijuitm.com.my/view-articles/ |
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| _version_ | 1833072139727536128 |
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| author | Wan Sallehuddin, Wan Nurul Adlina Mohamed Hatim, Shahirah Zulkifli, Zalikha Mohamad Ali, Razizul |
| author_facet | Wan Sallehuddin, Wan Nurul Adlina Mohamed Hatim, Shahirah Zulkifli, Zalikha Mohamad Ali, Razizul |
| author_sort | Wan Sallehuddin, Wan Nurul Adlina |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Drowsy driving is one of the factors that lead to road accidents which can cause dead. This is because driver does not able to give fully attention while driving. There are many factors that lead to driver drowsiness such as driving for a long time, do not have enough sleep and shift work. Thus, this research is proposed to develop a system to detect and alert drowsy driver by using Viola-Jones algorithm. Blinking rate is used as the indicator to determine either the driver is in drowsy or awake state. Viola-Jones algorithm is used to detect driver’s face and eyes in real time. Haar cascade classifier for frontal face and glasses eyes are used to train the system to detect driver’s face and eyes. In order to calculate eye blink, Eye Aspect Ratio (EAR) calculation is used to calculate and estimate of the eye-opening state in this system. The results of testing showed that the system with the Viola-Jones algorithm and Haar cascade classifier able to detect eyes blinking rate at the high accuracy percentages. |
| format | Article |
| id | my.uitm.ir-61549 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2021 |
| publisher | Universiti Teknologi MARA, Perak |
| record_format | eprints |
| spelling | my.uitm.ir-615492023-06-22T02:24:04Z https://ir.uitm.edu.my/id/eprint/61549/ Drowsy driver detection using Viola-Jones Algorithm / Wan Nurul Adlina Wan Sallehuddin ... [et al.] msij Wan Sallehuddin, Wan Nurul Adlina Mohamed Hatim, Shahirah Zulkifli, Zalikha Mohamad Ali, Razizul QA Mathematics Analysis Analytical methods used in the solution of physical problems Drowsy driving is one of the factors that lead to road accidents which can cause dead. This is because driver does not able to give fully attention while driving. There are many factors that lead to driver drowsiness such as driving for a long time, do not have enough sleep and shift work. Thus, this research is proposed to develop a system to detect and alert drowsy driver by using Viola-Jones algorithm. Blinking rate is used as the indicator to determine either the driver is in drowsy or awake state. Viola-Jones algorithm is used to detect driver’s face and eyes in real time. Haar cascade classifier for frontal face and glasses eyes are used to train the system to detect driver’s face and eyes. In order to calculate eye blink, Eye Aspect Ratio (EAR) calculation is used to calculate and estimate of the eye-opening state in this system. The results of testing showed that the system with the Viola-Jones algorithm and Haar cascade classifier able to detect eyes blinking rate at the high accuracy percentages. Universiti Teknologi MARA, Perak 2021-11 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/61549/1/61549.pdf Drowsy driver detection using Viola-Jones Algorithm / Wan Nurul Adlina Wan Sallehuddin ... [et al.]. (2021) Mathematical Sciences and Informatics Journal (MIJ) <https://ir.uitm.edu.my/view/publication/Mathematical_Sciences_and_Informatics_Journal_=28MIJ=29/>, 2 (2). pp. 51-56. ISSN 2735-0703 https://mijuitm.com.my/view-articles/ 10.24191/mij.v2i2.13926 10.24191/mij.v2i2.13926 10.24191/mij.v2i2.13926 |
| spellingShingle | QA Mathematics Analysis Analytical methods used in the solution of physical problems Wan Sallehuddin, Wan Nurul Adlina Mohamed Hatim, Shahirah Zulkifli, Zalikha Mohamad Ali, Razizul Drowsy driver detection using Viola-Jones Algorithm / Wan Nurul Adlina Wan Sallehuddin ... [et al.] |
| title | Drowsy driver detection using Viola-Jones Algorithm / Wan Nurul Adlina Wan Sallehuddin ... [et al.] |
| title_full | Drowsy driver detection using Viola-Jones Algorithm / Wan Nurul Adlina Wan Sallehuddin ... [et al.] |
| title_fullStr | Drowsy driver detection using Viola-Jones Algorithm / Wan Nurul Adlina Wan Sallehuddin ... [et al.] |
| title_full_unstemmed | Drowsy driver detection using Viola-Jones Algorithm / Wan Nurul Adlina Wan Sallehuddin ... [et al.] |
| title_short | Drowsy driver detection using Viola-Jones Algorithm / Wan Nurul Adlina Wan Sallehuddin ... [et al.] |
| title_sort | drowsy driver detection using viola-jones algorithm / wan nurul adlina wan sallehuddin ... [et al.] |
| topic | QA Mathematics Analysis Analytical methods used in the solution of physical problems |
| url | https://ir.uitm.edu.my/id/eprint/61549/1/61549.pdf https://ir.uitm.edu.my/id/eprint/61549/ https://mijuitm.com.my/view-articles/ |
| url_provider | http://ir.uitm.edu.my/ |