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Enhancing Harmful Animal Recognition At Night Through Image Calibration

이미지 보정을 통한 야간의 유해 동물 인식률 향상

  • Ha, Yeongseo (Dept. of Computer Eng., Andong National University) ;
  • Shim, Jaechang (Dept. of Computer Eng., Andong National University) ;
  • Kim, Joongsoo (Dept. of Computer Eng., Andong National University)
  • 하영서 ;
  • 심재창 ;
  • 김중수
  • Received : 2021.05.20
  • Accepted : 2021.05.28
  • Published : 2021.10.30

Abstract

Agriculture is being damaged by harmful animals such as wild boars and water deer. It need to get permission to catch a wild boar and farmers are using a lot of methods to chase harmful animals. The methods through deep learning and image processing capture harmful animals with cameras. It is difficult to analyze harmful animals that are active at night. In this case, In this case, using deep learning by image correction can achieve a higher recognition rate.

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