An implementation of the automatic labeling rolling-coil using robot vision system

로봇 시각 장치를 이용한 압연코일의 라벨링 자동화 구현

  • Published : 1997.10.01

Abstract

In this study an automatic rolling-coil labeling system using robot vision system and peripheral mechanism is proposed and implemented, which instead of the manual labor to attach labels Rolling-coils in a steel mill. The binary image process for the image processing is performed with the threshold, and the contour line is converted to the binary gradient which detects the discontinuous variation of brightness of rolling-coils. The moments invariant algorithm proposed by Hu is used to make it easy to recognize even when the position of the center are different from the trained data. The position error compensation algorithm of six degrees of freedom industrial robot manipulator is also developed and the data of the position of the center rolling-coils, which is obtained by floor mount camera, are transferred by asynchronous communication method. Therefore, even if the position of center is changed, robot moves to the position of center and performs the labeling work successfully. Therefore, this system can be improved the safety and efficiency.

References

  1. Proc. 7th Int. Conf. on Pattern Recognition Matching closed contours K. E. Price
  2. IRE Transactions on Information Theory v.8 no.2 Vision pattern recognition by moments invariant M. K. Hu
  3. 박사 학위 논문 (울산 대학교) 컴퓨터비젼을 이용한 로봇의 기하학적 자세 보정 이용중
  4. 汎用ロボツトを用いた ラベル 自動鮎付 システムの 特長 v.24 no.11 多摩川精機(株) 福鳥史明
  5. ラベル 鮎付 ロボト 製作仕樣書 熱延コイル
  6. '93 Asian Conference on Computer Vision Brightness invariant multi-threshold for grey level template matching W. P. Cheung;C. K. Lee;K. C. Liaccv
  7. Journal of the Optical Society of Americal v.8 no.12 Error-Diffusion algorithm with edge enhancement R. Eschbach;K. Knox
  8. Object Enhancement and Extraction J. M. S. Prewitt