- Tytuł:
- Identification of Garbage in the River Based on The YOLO Algorithm
- Autorzy:
-
Suprapto, Bhakti Yudho
Kelvin
Kurniawan, Muhammad Arief
Ardela, Muhammad Kevin
Hikmarika, Hera
Husin, Zainal
Dwijayanti, Suci - Powiązania:
- https://bibliotekanauki.pl/articles/2055273.pdf
- Data publikacji:
- 2021
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
control
identification
HSV and sift method
USV
yolo algorithm - Opis:
- 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.
- Źródło:
-
International Journal of Electronics and Telecommunications; 2021, 67, 4; 727--733
2300-1933 - Pojawia się w:
- International Journal of Electronics and Telecommunications
- Dostawca treści:
- Biblioteka Nauki
Artykuł