UAV와 YOLOv5를 활용한 해안 표착 쓰레기 탐지 및 분포현황 시각화

• 영문명: Visualization of beach litter detection and distribution by using UAV and YOLOv5
• 발행기관: 한국생태공학회
• 저자명: 도예빈 김보람 박미소 오세윤 김재원 윤홍주
• 간행물 정보: 『한국생태공학회지』제9권 제1호, 41~46쪽, 전체 6쪽
• 주제분류: 공학 > 환경공학
• 파일형태: PDF
• 발행일자: 2022.12.30

영문 초록

Marine debris is defined as a substance that is intentionally or inadvertently left on the coast or is harmful to the marine environment due to inflow and discharge. It can be divided into floating debris, sedimentary debris, and beach litter depending on its location. In this study, UAV and YOLOv5x were used to detect beach litter economically and efficiently. The research area is the coastal area of Geoje-si, Gyeongsangnam-do, and Gadeokdo, Gangseo-gu, Busan, and beach litter detection research was conducted by collecting images by altitude and characteristics of UAVs. When detecting coastal drifting garbage by altitude, the accuracy was the highest at an altitude of 0.727, and the detection accuracy of PET was 0.776 when detecting beach litter by type. After that, as a result of visualizing the detection results, it was possible to show the spatial distribution status of beach litter.

목차

1. 서론

2. 재료 및 방법

3. 결과

4. 결론

참고문헌

키워드

UAV Beach litter YOLOv5x Visualization