Identification of Garbage in the River Based on The YOLO Algorithm

Authors

  • Bhakti Yudho Suprapto Electrical Engineering Universitas Sriwijaya http://orcid.org/0000-0002-3995-6347
  • Suci Dwijayanti Electrical Engineering Universitas Sriwijaya
  • Zaenal Husin Electrical Engineering Universitas Sriwijaya
  • Hera Hikmarika Electrical Engineering Universitas Sriwijaya
  • Muhammad Arief Kurniawan Electrical Engineering Universitas Sriwijaya
  • Muhammad Kevin Ardela Electrical Engineering Universitas Sriwijaya
  • Kelvin Kelvin Electrical Engineering Universitas Sriwijaya

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 for an appropriate method. The HSV and SIFT methods were used as preliminary tests. The tests were quite successful even in close conditions, however, there were still many problems faced in using this method since it is only based on pixel and shape readings. Meanwhile, the YOLO algorithm was able to identify garbage and water hyacinth even though they were closed to each other.

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Published

2024-04-19

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Section

Image Processing