Traffic light counter detection comparison using you only look oncev3 and you only look oncev5 for version 3 and 5
This project aims to develop a vision system that can detect traffic light counter and to recognise the numbers shown on it. The system used you only look once version 3 (YOLOv3) algorithm because of its robust performance and reliability and able to be implemented in Nvidia Jetson nano kit. A total...
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| Format: | Article |
| Language: | English English |
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Institute of Advanced Engineering and Science (IAES)
2023
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| Online Access: | https://eprints.ums.edu.my/id/eprint/38443/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/38443/2/FULL%20TEXT.pdf |
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| author | Hamzah Abdulmalek Al-Haimi Zamani Md Sani Tarmizi Ahmad Izzudin Hadhrami Abdul Ghani Azizul Azizan Samsul Ariffin Abdul Karim |
| author_facet | Hamzah Abdulmalek Al-Haimi Zamani Md Sani Tarmizi Ahmad Izzudin Hadhrami Abdul Ghani Azizul Azizan Samsul Ariffin Abdul Karim |
| author_sort | Hamzah Abdulmalek Al-Haimi |
| collection | UMS |
| description | This project aims to develop a vision system that can detect traffic light counter and to recognise the numbers shown on it. The system used you only look once version 3 (YOLOv3) algorithm because of its robust performance and reliability and able to be implemented in Nvidia Jetson nano kit. A total of 2204 images consisting of numbers from 0-9 green and 0-9 red. Another 80% (1764) from the images are used for training and 20% (440) are used for testing. The results obtained from the training demonstrated Total precision=89%, Recall=99.2%, F1 score=70%, intersection over union (IoU)=70.49%, mean average precision (mAp)=87.89%, Accuracy=99.2% and the estimate total confidence rate for red and green are 98.4% and 99.3% respectively. The results were compared with the previous YOLOv5 algorithm, and the results are substantially close to each other as the YOLOv5 accuracy and recall at 97.5% and 97.5% respectively. |
| first_indexed | 2024-03-06T03:28:19Z |
| format | Article |
| id | ums.eprints-38443 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-03-06T03:28:19Z |
| publishDate | 2023 |
| publisher | Institute of Advanced Engineering and Science (IAES) |
| record_format | dspace |
| spelling | ums.eprints-384432024-03-05T02:36:16Z https://eprints.ums.edu.my/id/eprint/38443/ Traffic light counter detection comparison using you only look oncev3 and you only look oncev5 for version 3 and 5 Hamzah Abdulmalek Al-Haimi Zamani Md Sani Tarmizi Ahmad Izzudin Hadhrami Abdul Ghani Azizul Azizan Samsul Ariffin Abdul Karim QA75.5-76.95 Electronic computers. Computer science TE210-228.3 Construction details Including foundations, maintenance, equipment This project aims to develop a vision system that can detect traffic light counter and to recognise the numbers shown on it. The system used you only look once version 3 (YOLOv3) algorithm because of its robust performance and reliability and able to be implemented in Nvidia Jetson nano kit. A total of 2204 images consisting of numbers from 0-9 green and 0-9 red. Another 80% (1764) from the images are used for training and 20% (440) are used for testing. The results obtained from the training demonstrated Total precision=89%, Recall=99.2%, F1 score=70%, intersection over union (IoU)=70.49%, mean average precision (mAp)=87.89%, Accuracy=99.2% and the estimate total confidence rate for red and green are 98.4% and 99.3% respectively. The results were compared with the previous YOLOv5 algorithm, and the results are substantially close to each other as the YOLOv5 accuracy and recall at 97.5% and 97.5% respectively. Institute of Advanced Engineering and Science (IAES) 2023 Article NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/38443/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/38443/2/FULL%20TEXT.pdf Hamzah Abdulmalek Al-Haimi and Zamani Md Sani and Tarmizi Ahmad Izzudin and Hadhrami Abdul Ghani and Azizul Azizan and Samsul Ariffin Abdul Karim (2023) Traffic light counter detection comparison using you only look oncev3 and you only look oncev5 for version 3 and 5. IAES International Journal of Artificial Intelligence (IJ-AI), 12 (4). pp. 1585-1592. ISSN 2089-4872 http://doi.org/10.11591/ijai.v12.i4.pp1585-1592 |
| spellingShingle | QA75.5-76.95 Electronic computers. Computer science TE210-228.3 Construction details Including foundations, maintenance, equipment Hamzah Abdulmalek Al-Haimi Zamani Md Sani Tarmizi Ahmad Izzudin Hadhrami Abdul Ghani Azizul Azizan Samsul Ariffin Abdul Karim Traffic light counter detection comparison using you only look oncev3 and you only look oncev5 for version 3 and 5 |
| title | Traffic light counter detection comparison using you only look oncev3 and you only look oncev5 for version 3 and 5 |
| title_full | Traffic light counter detection comparison using you only look oncev3 and you only look oncev5 for version 3 and 5 |
| title_fullStr | Traffic light counter detection comparison using you only look oncev3 and you only look oncev5 for version 3 and 5 |
| title_full_unstemmed | Traffic light counter detection comparison using you only look oncev3 and you only look oncev5 for version 3 and 5 |
| title_short | Traffic light counter detection comparison using you only look oncev3 and you only look oncev5 for version 3 and 5 |
| title_sort | traffic light counter detection comparison using you only look oncev3 and you only look oncev5 for version 3 and 5 |
| topic | QA75.5-76.95 Electronic computers. Computer science TE210-228.3 Construction details Including foundations, maintenance, equipment |
| url | https://eprints.ums.edu.my/id/eprint/38443/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/38443/2/FULL%20TEXT.pdf |
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