Yudho Suprapto, Bhakti Identification of Garbage in the River Based on The YOLO Algorithm. Electronics and Telecommunications Committee of Polish Academy of Sciences.
![[thumbnail of ITHENTICATE]](http://repository.unsri.ac.id/style/images/fileicons/text.png) |
Text (ITHENTICATE)
Identification of Garbage in the River Based on The YOLO Algorithm.pdf Download (3MB) |
Abstract
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: | Other |
|---|---|
| Subjects: | #3 Repository of Lecturer Academic Credit Systems (TPAK) > Results of Ithenticate Plagiarism and Similarity Checker |
| Divisions: | 03-Faculty of Engineering > 20201-Electrical Engineering (S1) |
| Depositing User: | Mr. Bhakti Suprapto |
| Date Deposited: | 08 Apr 2023 04:42 |
| Last Modified: | 08 Apr 2023 04:42 |
| URI: | http://repository.unsri.ac.id/id/eprint/94461 |
Actions (login required)
 |
View Item |