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UAV 기반 외래거북 탐지를 위한 광학문자 인식(OCR)의 가능성 평가

Feasibility of Optical Character Recognition (OCR) for Non-native Turtle Detection

  • 임태양 (단국대학교 환경원예.조경학과 대학원) ;
  • 김지윤 (단국대학교 환경원예.조경학과 대학원) ;
  • 김휘문 (단국대학교 환경원예.조경학과 대학원) ;
  • 강완모 (국민대학교 산림환경시스템학과) ;
  • 송원경 (단국대학교 환경원예.조경학부)
  • Lim, Tai-Yang (Dept. of Environmental Horticulture and Landscape Architecture, Dankook University) ;
  • Kim, Ji-Yoon (Dept. of Environmental Horticulture and Landscape Architecture, Dankook University) ;
  • Kim, Whee-Moon (Dept. of Environmental Horticulture and Landscape Architecture, Dankook University) ;
  • Kang, Wan-Mo (Department of Forestry, Environment, and Systems, Kookmin University) ;
  • Song, Won-Kyong (School of Environmental Horticulture and Landscape Architecture, Dankook University)
  • 투고 : 2022.09.07
  • 심사 : 2022.09.21
  • 발행 : 2022.10.30

초록

Alien species cause problems in various ecosystems, reduce biodiversity, and destroy ecosystems. Due to these problems, the problem of a management plan is increasing, and it is difficult to accurately identify each individual and calculate the number of individuals, especially when researching alien turtle species such as GPS and PIT based on capture. this study intends to conduct an individual recognition study using a UAV. Recently, UAVs can take various sensor-based photos and easily obtain high-definition image data at low altitudes. Therefore, based on previous studies, this study investigated five variables to be considered in UAV flights and produced a test paper using them. OCR was used to monitor the displayed turtles using the manufactured test paper, and this confirmed the recognition rate. As a result, the use of yellow numbers showed the highest recognition rate. In addition, the minimum threat distance was confirmed to be 3 to 6m, and turtles with a shell size of 6 to 8cm were also identified during the flight. Therefore, we tried to propose an object recognition methodology for turtle display text using OCR, and it is expected to be used as a new turtle monitoring technique.

키워드

과제정보

이 연구는 환경부의 재원으로 한국환경산업기술원의 생물다양성 위협 외래생물 관리 기술 개발사업의 지원을 받아 연구되었습니다. 본 결과물은 환경부의 재원으로 한국환경산업기술원의 생물다양성 위협 외래생물 관리 기술개발사업의 지원을 받아 연구되었습니다. (2021002280001)

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