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FMD response cow hooves and temperature detection algorithm using a thermal imaging camera

열화상 카메라를 이용한 구제역 대응 소 발굽 온도 검출 알고리즘 개발

  • Received : 2016.07.21
  • Accepted : 2016.09.09
  • Published : 2016.09.30

Abstract

Because damages arising from the occurrence of foot-and-mouth disease (FMD) are very great, it is essential to make a preemptive diagnosis to cope with it in order to minimize those damages. The main symptoms of foot-and-mouth disease are body temperature increase, loss of appetite, formation of blisters in the mouth, on hooves and breasts, etc. in a cow or a bull, among which the body temperature check is the easiest and quickest way to detect the disease. In this paper, an algorithm to detect FMD from the hooves of cattle was developed and implemented for preemptive coping with foot-and-mouth disease, and a hoof check test is conducted after the installation of a high-resolution camera module, a thermo-graphic camera, and a temperature/humidity module in the cattle shed. Through the algorithm and system developed in this study, it is possible to cope with an early-stage situation in which cattle are suspected as suffering from foot-and-mouth disease, creating an optimized growth environment for cattle. In particular, in this study, the system to cope with FMD does not use a portable thermo-graphic camera, but a fixed camera attached to the cattle shed. It does not need additional personnel, has a function to measure the temperature of cattle hooves automatically through an image algorithm, and includes an automated alarm for a smart phone. This system enables the prediction of a possible occurrence of foot-and-mouth disease on a real-time basis, and also enables initial-stage disinfection to be performed to cope with the disease without needing extra personnel.

구제역 발생에 따른 피해는 매우 크기 때문에 구제역의 피해를 최소화하기 위해서는 선제적인 구제역 진단 및 대응이 필수적이다. 주요 구제역 증상은 소의 체온 상승, 식욕 부진, 유량 감소, 입 발굽 유방에 물집 형성 등이며, 이중 확인하기 가장 쉽고 빠른 방법은 체온을 검사하는 방법이다. 본 논문에서는 선제적 구제역 대응을 위해 소 발굽 검출 알고리즘을 개발 구현하고, 축사에 고해상도 카메라 모듈과 열화상 카메라, 온습도 모듈 설치하여 발굽 검색 테스트를 시행하였다. 본 연구에서 개발한 알고리즘과 시스템을 통해 구제역 의심 가축의 조기 상황 대처를 할 수 있으며, 가축의 최적 성정 환경을 조성할 수 있다. 특히, 본 연구에서는 기존의 휴대용이 아닌 열화상 카메라를 활용한 구제역 대응 시스템은 축사에 고정으로 부착하여 별도 인력을 필요로 하지 않고 이미지 알고리즘을 통하여 가축의 발굽 온도를 자동 측정하는 기능과 스마트 폰을 활용한 자동 경고 기능을 가지고 있다. 이러한 시스템은 실시간을 구제역 가능성 예측을 가능케 하며, 별도의 인력이 없이 가축 질병에 대한 초동 방역 대응을 할 수 있다.

Keywords

References

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