Identification of Garbage in the River Based on The YOLO Algorithm

Suprapto, Bhakti Yudho and Dwijayanti, Suci (2022) Identification of Garbage in the River Based on The YOLO Algorithm. International Journal of Electronics and Telecommunications, 67 (4). pp. 727-733. ISSN 2300-1933

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Abstract

This paper discusses the identification of garbage using the YOLO algorithm. In the rivers, it is usually difficult to distinguish between garbage and plants, especially when it is done in real-time and at the time of too much light. Therefore, there is a need of an appropriate method. The HSV and SIFT methods were used as preliminary tests. The tests were quite successful even in close condition, however, there were still many problems faced in using this method since it is only based on pixel and shape readings. Meanwhile, YOLO algorithm was able to identify garbage and water hyacinth even though they were closed to each other.

Item Type:	Article
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics > TK7836.M33 Microelectronics. Integrated circuits--Design and construction. Microelectromechanical systems--Design and construction
Divisions:	03-Faculty of Engineering > 20201-Electrical Engineering (S1)
Depositing User:	Mr. Bhakti Suprapto
Date Deposited:	28 Apr 2023 16:14
Last Modified:	28 Apr 2023 16:14
URI:	http://repository.unsri.ac.id/id/eprint/97887

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