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Machine vision system design for inspecting steel bearing balls

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초록

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 o rotation interval. Defects are detected by thresholding the difference image between an image captured and the reference image of a good ball.

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 o rotation interval. Defects are detected by thresholding the difference image between an image captured and the reference image of a good ball.

참고문헌 (7)

  1. G. B. Wetherill, "Sampling inspection and quality control" (1969), Methuen and Co., Ltd., London
  2. T. S. Newman, "A survey of automated visual inspection", Computer Vision and Image Understanding, 61(2), pp.231~262 (1995)
  3. B. Smith, "Making war on defects: Six-sigma design", IEEE Spectrum, 30(9), pp.43~47 (1993)
  4. Z. Szlavik, "Visual inspection of metal objects by using cellular neural networks", Proc. Int'l Workshop on Cellular Neural Networks and Their Applications, pp.1~5 (2006)
  5. P. Parent, "Ball bearing inspection with an acoustic microscope", Proc. of IEEE Ultrasonic Symposium, 2, pp.1111~1113 (1988)
  6. T. W. Ng, "Optical inspection of ball bearing defects", Measurement Science and Techniques, 18, pp.N73~N76 (2004)
  7. "Grasshpper datasheet//Point Grey/0000"[URL]

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