DOI QR코드

DOI QR Code

Height Measurement of Cellphone Curved Glass using Camera

카메라를 이용한 휴대폰 곡면유리의 높이측정

  • Kim, Han-Sol (Department of Control and Instrumentation Engineering, Gyeongsang National University) ;
  • Lee, Kyung-Jun (Department of Control and Instrumentation Engineering, Gyeongsang National University) ;
  • Jung, Dong-Yean (Deaho Technology Korea, Co., Ltd.) ;
  • Lee, Yeon-Hyeong (Deaho Technology Korea, Co., Ltd.) ;
  • Kim, Gab-Soon (Department of Control and Instrumentation Engineering, Gyeongsang National University)
  • 김한솔 (경상대학교 제어계측공학과, ERI) ;
  • 이경준 (경상대학교 제어계측공학과, ERI) ;
  • 정동연 ((주)대호테크 연구소) ;
  • 이연형 ((주)대호테크 연구소) ;
  • 김갑순 (경상대학교 제어계측공학과, ERI)
  • Received : 2016.06.01
  • Accepted : 2016.11.15
  • Published : 2016.12.01

Abstract

This paper describes the design of a cellphone curved glass measuring device using by camera. The measuring device was composed of two camera, two backlight system, a body and so on, and the program was made for a camera calibration and noise removal, and also the program was made for height measurement of a cellphone curved glass using by subpixel algorism. And then a new technique for measuring the height of the cell phone curved glass was proposed. The characteristics test of height measurement of gage blocks and cell phone curved glasses was carried out, the error of the height measurement of gage block is less than ${\pm}0.005$ and the error of the height measurement of the cell phone curved glasses is less than ${\pm}0.005$. Thus it thought that the designed cellphone curved glass measuring device and the new technique for measuring the height was used to measure the height of the cellphone curved glass.

Keywords

References

  1. H. M. Kim, T. G. Hong, D. Y. Jung, Y. H. Lee, J. H. Park, and G. S. Kim, "Design of a force applying system for a smart-phone curved glass molding system and its characteristic test," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 20, no. 6, pp. 663-668, 2014. https://doi.org/10.5302/J.ICROS.2014.13.1978
  2. H. S. Kim, K. J. Lee, D. Y. Jung, Y. H. Lee, J. H. Park, and G. S. Kim, "Design for a defective product inspection device for the curved glass used in Smart-phones," Journal of Institute of Control, Robotics and Systems, vol. 21, no. 8, pp. 794-800, 2015. https://doi.org/10.5302/J.ICROS.2015.15.0049
  3. N. S. Andres and B. C. Jang, "Development of a machine vision system for automotive part car seat frame inspection," The Korea Academia-Industrial Cooperation Society, vol. 12, no. 4, pp. 1559-1564, 2011. https://doi.org/10.5762/KAIS.2011.12.4.1559
  4. M. C. Jung, "Study on machine vision algorithms for LCD defects detection," The Korea Society Semiconductor & Display Technology, vol. 9, no. 3, pp. 59-63, 2010.
  5. J. S. Park, D. H. Yun, C. S. Jeong, Y. S. Kim, and S. Y. Yang, "Development of machine vision system for inspection of screw/bolt shape," The Korean Society Mechanocal Engineers, pp. 1643-1637, 2010.
  6. S. B. Cho, G. H. Baek, U. K. Yi, K. G. Nam, and K. R. Baek, "Real-time image processing system for pdp pattern inspection with line scan camera," Journal of the Institute of Electronics Engineers of Korea, vol. 42, no. 3, pp. 17-24, 2005.
  7. J. S. Cho, G. S. Ha, J. W. Lee, D. H. Kim, and E. Jeon, "Defect cell extraction for TFT-LCD auto-repair system," International Journal of control Automation and Systems, vol. 14, no. 5, 2008.
  8. H. J. Park and I. H. Lee, "Developement of precise vision measurement algorithm using edge detection with subpixel accuracy," Proc. of Korea Society of Precision Engineering Conference, pp. 197-200, 1999.
  9. F. Lahajnar, R. Bernard, F. Pernus, and S. Kovacic, "Machine vision system for inspecting electric plates," Computers in industry, vol. 47, no. 1, pp. 113-122, 2002. https://doi.org/10.1016/S0166-3615(01)00134-8
  10. J. Heikkila and O. Silven, "A four-step camera calibration procedure with implicit image correction," Proc. of IEEE International Conference on Computer Vision and Pattern Recognition, pp. 1106-1112, 1997.
  11. Z. Zhang, "A flexible new technique for camera calibration," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 11, pp. 1330-1334, 2000. https://doi.org/10.1109/34.888718
  12. A. Trujillo-Pino, K. Krissian, M. Aleman-Flores, and D. Santana-Cedres, "Accurate subpixel edge location based on partial area effect," Image and Vision Computing, vol. 31, no. 1, pp. 72-90, 2013. https://doi.org/10.1016/j.imavis.2012.10.005