YOLO-based network fusion for riverine floating debris monitoring system
Riverine floating debris has been one of the major challenges and a well-known issue across the globe for decades. To mitigate this problem, sources of debris and their pathways to the riverine environment need to be identified and quantified. The scope of this study is to obtain visual information...
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| Format: | Conference or Workshop Item |
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2021
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| _version_ | 1796866561876688896 |
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| author | Zailan, Nur Athirah Mohd. Khairuddin, Anis Salwa Khairuddin, Uswah Taguchi, Akira |
| author_facet | Zailan, Nur Athirah Mohd. Khairuddin, Anis Salwa Khairuddin, Uswah Taguchi, Akira |
| author_sort | Zailan, Nur Athirah |
| collection | ePrints |
| description | Riverine floating debris has been one of the major challenges and a well-known issue across the globe for decades. To mitigate this problem, sources of debris and their pathways to the riverine environment need to be identified and quantified. The scope of this study is to obtain visual information of floating debris which is crucial in developing a robotic platform for riverine management system. Therefore, an object detector using You Only Look Once version 4 (YOLOv4) algorithm is developed to detect floating debris for the riverine monitoring system. The debris detection system is trained on five object classes such as styrofoam, plastic bags, plastic bottle, aluminium can and plastic container. After the first training is conducted, image augmentation technique is implemented to increase training and validation datasets. Finally, the performance of the proposed debris detection system is evaluated based on the highest mean average precision (mAP) weight file, classification accuracy, precision and recall. |
| first_indexed | 2024-03-05T21:14:00Z |
| format | Conference or Workshop Item |
| id | utm.eprints-98143 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T21:14:00Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | utm.eprints-981432022-12-04T09:39:24Z http://eprints.utm.my/98143/ YOLO-based network fusion for riverine floating debris monitoring system Zailan, Nur Athirah Mohd. Khairuddin, Anis Salwa Khairuddin, Uswah Taguchi, Akira T Technology (General) Riverine floating debris has been one of the major challenges and a well-known issue across the globe for decades. To mitigate this problem, sources of debris and their pathways to the riverine environment need to be identified and quantified. The scope of this study is to obtain visual information of floating debris which is crucial in developing a robotic platform for riverine management system. Therefore, an object detector using You Only Look Once version 4 (YOLOv4) algorithm is developed to detect floating debris for the riverine monitoring system. The debris detection system is trained on five object classes such as styrofoam, plastic bags, plastic bottle, aluminium can and plastic container. After the first training is conducted, image augmentation technique is implemented to increase training and validation datasets. Finally, the performance of the proposed debris detection system is evaluated based on the highest mean average precision (mAP) weight file, classification accuracy, precision and recall. 2021 Conference or Workshop Item PeerReviewed Zailan, Nur Athirah and Mohd. Khairuddin, Anis Salwa and Khairuddin, Uswah and Taguchi, Akira (2021) YOLO-based network fusion for riverine floating debris monitoring system. In: 3rd International Conference on Electrical, Communication and Computer Engineering, ICECCE 2021, 12 - 13 June 2021, Kuala Lumpur, Malaysia. http://dx.doi.org/10.1109/ICECCE52056.2021.9514096 |
| spellingShingle | T Technology (General) Zailan, Nur Athirah Mohd. Khairuddin, Anis Salwa Khairuddin, Uswah Taguchi, Akira YOLO-based network fusion for riverine floating debris monitoring system |
| title | YOLO-based network fusion for riverine floating debris monitoring system |
| title_full | YOLO-based network fusion for riverine floating debris monitoring system |
| title_fullStr | YOLO-based network fusion for riverine floating debris monitoring system |
| title_full_unstemmed | YOLO-based network fusion for riverine floating debris monitoring system |
| title_short | YOLO-based network fusion for riverine floating debris monitoring system |
| title_sort | yolo based network fusion for riverine floating debris monitoring system |
| topic | T Technology (General) |
| work_keys_str_mv | AT zailannurathirah yolobasednetworkfusionforriverinefloatingdebrismonitoringsystem AT mohdkhairuddinanissalwa yolobasednetworkfusionforriverinefloatingdebrismonitoringsystem AT khairuddinuswah yolobasednetworkfusionforriverinefloatingdebrismonitoringsystem AT taguchiakira yolobasednetworkfusionforriverinefloatingdebrismonitoringsystem |