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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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Main Authors: Zailan, Nur Athirah, Mohd. Khairuddin, Anis Salwa, Khairuddin, Uswah, Taguchi, Akira
Format: Conference or Workshop Item
Published: 2021
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/id/eprint/98143/
http://dx.doi.org/10.1109/ICECCE52056.2021.9514096
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spelling my.utm.981432022-12-04T09:39:24Z http://eprints.utm.my/id/eprint/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
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic T Technology (General)
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
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.
format Conference or Workshop Item
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
title YOLO-based network fusion for riverine floating debris monitoring system
title_short 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_sort yolo-based network fusion for riverine floating debris monitoring system
publishDate 2021
url http://eprints.utm.my/id/eprint/98143/
http://dx.doi.org/10.1109/ICECCE52056.2021.9514096
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score 13.211869

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