Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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Machine vision system design for inspecting steel bearing balls

베어링 강구 검사용 기계시각 시스템 설계

  • Park, Su-Woo (Dept. of Electronic Engineering, Graduate School, Daegu University) ;
  • Kim, Yoon-Su (Dept. of Electronic Engineering, Graduate School, Daegu University) ;
  • Lee, Sang-Ok (Dept. of Electronic Engineering, Graduate School, Daegu University) ;
  • Lim, Byung-Hun (Dept. of Electronic Engineering, Graduate School, Daegu University) ;
  • Kim, Tae-Gyun (Dept. of Electronic Engineering, Graduate School, Daegu University) ;
  • Park, Cheol-Young (Dept. of Electronic Engineering, Graduate School, Daegu University) ;
  • Choi, Byung-Jae (Dept. of Electronic Engineering, Graduate School, Daegu University) ;
  • Lee, Moon-Rak (DAEHO CEMT) ;
  • Do, Yong-Tae (Dept. of Electronic Engineering, Graduate School, Daegu University)
  • 박수우 (대구대학교 대학원 전자공학과) ;
  • 김윤수 (대구대학교 대학원 전자공학과) ;
  • 이상옥 (대구대학교 대학원 전자공학과) ;
  • 임병훈 (대구대학교 대학원 전자공학과) ;
  • 김태균 (대구대학교 대학원 전자공학과) ;
  • 박철영 (대구대학교 대학원 전자공학과) ;
  • 최병재 (대구대학교 대학원 전자공학과) ;
  • 이문락 ((주)대호셈트) ;
  • 도용태 (대구대학교 대학원 전자공학과)
  • Published : 2008.09.30
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Abstract

Steel bearing balls are important component in machines having moving parts. In this paper we describe a vision-based automatic inspection system designed for sensing defects on the surface of steel bearing balls. The system has a camera looking down over a rail on which balls roll. Two mirrors are installed at both sides of the rail so that the side parts of a ball can be well inspected. The entire ball surface can be sufficiently seen by taking three images at $120^{\circ}$ rotation interval. Defects are detected by thresholding the difference image between an image captured and the reference image of a good ball.

Keywords

References

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