Journal of the Institute of Convergence Signal Processing (융합신호처리학회논문지)

The Korea Institute of Convergence Signal Processing (한국융합신호처리학회)
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Development of Near Infrared Radiation Image Board for Performace Improvement of Grain Sorter

곡물선별기의 선별력 향상을 위한 근거리적외선 영상보드 개발

  • Lee, Chae-Wook (Division of Computer and Communication Engineering, Daegu University)
  • 이채욱 (대구대학교 정보통신공학부)
  • Received : 2017.04.29
  • Accepted : 2017.06.01
  • Published : 2017.06.30
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Abstract

Currently, most of the grain sorter uses CCD optic camera to find defective products. The aim of this paper is to use the CCD camera, and aim for improving the sorting power of the grain separator by using NIR(Near Infrared Radiation) sensor based on moisture content measurement algorithm. We intend to develop a system to develop an NFC imaging system in real time by developing an NIR imaging system and developing the grain sorter system that is considered to be defective in real time by checking the internal moisture content of the raw material in the real time.

현재 곡물선별기는 대부분 CCD 광학카메라를 이용하여 불량품을 찾아내고 있다. 본 논문에서는 CCD 카메라를 이용함과 동시에 근거리적외선 센서의 수분측정 방법을 추가하여 곡물선별기의 선별력향상을 목표로 한다. 그리고 구현한 알고리즘을 곡물선별기에 실제로 적용할 수 있도록 근거리적외선 영상보드 시스템을 개발하여, 원료의 내부 수분 함량을 고속으로 체크하여 일정함량 미달인 경우 불량으로 간주하여, 불량품을 실시간으로 제거하는 곡물선별기 시스템을 개발하고자 한다.

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References

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