Journal of the Semiconductor & Display Technology (반도체디스플레이기술학회지)

The Korean Society Of Semiconductor & Display Technology (한국반도체디스플레이기술학회)
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Inspection of combination quality for automobile steel balance weight using laser line projector and USB camera

레이저 선 프로젝터와 USB 카메라를 이용한 자동차용 철 밸런스 웨이트의 결합상태 검사

  • Choi, Kyung Jin (MIRTEC Inc. Co. Ltd.) ;
  • Park, Se Je (College of Electronics Information Engineering, KyungHee Univ.) ;
  • Lim, Ho (Department of Electronic, Information and Communication, Korea Polytechnics) ;
  • Park, Chong Kug (College of Electronics Information Engineering, KyungHee Univ.)
  • 최경진 ((주)미르기술) ;
  • 박세제 (경희대학교 전자정보대학) ;
  • 임호 (한국폴리텍대학 전자정보통신과) ;
  • 박종국 (경희대학교 전자정보대학)
  • Received : 2013.01.10
  • Accepted : 2013.02.28
  • Published : 2013.03.31
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Abstract

In this paper, sensor system and inspection algorithm in order to inspect steel balance weight for automobile is described. Steel balance weight is composed of clip and weight, which is joined by press process. The defective one has a gap between clip and weight. To detect whether there is a gap, sensor system is simply configured with laser line projector and USB camera, which make it possible to measure the height difference of clip and weight area. Laser line pattern which is made on the surface of a balance weight is captured by USB camera. In case that USB camera is used in machine vision, barrel distortion caused by wide angle lens makes the captured image distorted. Image warping function is applied to correct the distortion. Simple image processing algorithm is applied to extract the laser line information and whether it is good or not is judged through the extracted information.

Keywords

References

  1. Matsuyama, Y., Honda, T., Yamamura, H., Sasazawa, H., Nomoto, M., Ninomiya, T., Schick, A., Listl, L., Kollensperger, P., Spriegel, D., Mengel, P. and Schneider, R., "Automated Solder Joint Inspection System Using Optical 3-D Image Detection", IEEE Workshop on Application of Computer Vision(WACV'96), pp.116-122, February, 1996.
  2. Horng-Hai Loh and Ming-Sing Lu, "Printed Circuit Board Inspection Using Image Analysis", IEEE transaction on industrial applications, Vol.35, NO.2, pp.426-432, March/April, 1999. https://doi.org/10.1109/28.753638
  3. Richard R. and Lathrop, Jr., "Solder Paste Print Qualification Using Laser Triangulation ", IEEE transactions on components, packaging, and manufacturing technology-part C, Vol.20, No. 3, July, 1997.
  4. Min-Fan Ricky Lee, Clarence W. de Silva, Elizabeth A. Croft, and Q.M. Jonathan Wu, "Machine vision system for curved surface inspection", Machine Vision and Applications, Vol.12, pp.177-188, 2000. https://doi.org/10.1007/s001380000043
  5. T.H. Cho and B.H. Huh, " A 3D Solder Paste Inspection System Using Multiple Slit Rays " , Journal of Control, Automated and Systems Engineering, Vol.8, No.2, February, 2002.
  6. F. Pernkopf, " 3D surface acquisition and reconstruction for inspection of raw steel products", Computers in Industry, Vol.56, Issues 8-9, pp.876- 885, December, 2005. https://doi.org/10.1016/j.compind.2005.05.025
  7. Donald G Bailey, "A New Approach to Lens Distortion Correction", Proceedings of Image and Vision Computing, New Zealand, pp.59-64, 2002.
  8. Roger Y. Tsai, "A versatile Camera Calibration Technique for High-Accuracy 3D machine Vision Metrology Using Off-the-Shelf TV Cameras and Lenses", IEEE Journal of Robotics and Automation, Vol.RA-3, No.4, pp.323-344, August, 1987
  9. G.Y.Song and J.W.Lee, "Correction of Radial Distortion Based on Line-Fitting:, International Journal of Control, Automation, and Systems, Vol.8, No.3, pp.615-621, 2010 https://doi.org/10.1007/s12555-010-0314-5
  10. F.Devernay and O.Faugeras, "Straight lines to be straight", Machine Vision and Application, Vol.13, pp.14-24, 2001 https://doi.org/10.1007/PL00013269
  11. B.Prescott and G.F.Mclean, "Line-Based Correction of Radial Lens Distortion", Graphical Models and Image Processing, Vol.59, No.1, pp.39-47, January, 1997 https://doi.org/10.1006/gmip.1996.0407
  12. C.A.Glasbey and K.V.Mardia, "A review of image warping methods", Journal of Applied Statistics, Vol.25, pp155-171, 1998 https://doi.org/10.1080/02664769823151