Browse > Article

A New Robotic 3D Inspection System of Automotive Screw Hole  

Baeg, Moon-Hong (Applied Robot Technology Division, KITECH)
Baeg, Seung-Ho (Applied Robot Technology Division, KITECH)
Moon, Chan-Woo (College of Electrical Engineering & Computer Science, Kookmin University)
Jeong, Gu-Min (College of Electrical Engineering & Computer Science, Kookmin University)
Ahn, Hyun-Sik (College of Electrical Engineering & Computer Science, Kookmin University)
Kim, Do-Hyun (College of Electrical Engineering & Computer Science, Kookmin University)
Publication Information
International Journal of Control, Automation, and Systems / v.6, no.5, 2008 , pp. 740-745 More about this Journal
Abstract
This paper presents a new non-contact 3D robotic inspection system to measure the precise positions of screw and punch holes on a car body frame. The newly developed sensor consists of a CCD camera, two laser line generators and LED light. This lightweight sensor can be mounted on an industrial robot hand. An inspection algorithm and system that work with this sensor is presented. In performance evaluation tests, the measurement accuracy of this inspection system was about 200 ${\mu}m$, which is a sufficient accuracy in the automotive industry.
Keywords
3D sensor; frame inspection; laser; screw hole; robotic 3D inspection system; vision;
Citations & Related Records

Times Cited By Web Of Science : 0  (Related Records In Web of Science)
Times Cited By SCOPUS : 0
연도 인용수 순위
  • Reference
1 P. Marino, M. Dominguez, and M. Alonso, "Inspection of steel sheets based on CCD image sensors," Proc. of IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 68-73, August 1999
2 F. Chen, G. M. Brown, and M. Song, "Overview of three-dimensional shape measurement using optical methods," Optical Engineering, vol. 39, no. 1, pp. 10-22, 2000   DOI   ScienceOn
3 W. J. Pastorius, "MACHINE vision for industrial inspection metrology and guidance," Proc. of Programmable Control and Automation Technology Conference and Exhibition, pp. 13A2 - 1/1-5, Oct. 12-13 1988
4 Q. Shi, N. Xi, H. Chen, and Y. Chen "Calibration of robotic area sensing system for dimensional measurement of automotive part surfaces," Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1526-1531, August 2005
5 F. Shafait, M. S. Pervez, A. A. Qazi, J. Wollnack, and T. Trittin "Real time two-step inspection system for assembled valve keys in automobile cylinder heads," Proc. of third International Conference on Image and Graphics, pp. 520-523, December 2004
6 M. Kondo, S. Tachiki, M. Ishida, and K. Higuchi, "Automatic measuring system for body fit on the automobile assembly line," Proc. of IEEE International Conference on Robotics and Automation, pp. 538-543, 1995
7 B. Lara, K. Althoefer, and L. D. Seneviratne "Automated robot-based screw insertion system," Proc. of the 24th Annual Conference of the IEEE, Industrial Electronics Society, Volume 4, pp. 2440-2445, Aug. 31 - Sept. 4 1998
8 R. A. Jarvis, "A perspective on range-finding techniques for computer vision," IEEE Trans. on Pattern Analysis Machine Intelligence, vol. 5, no. 2, pp. 122-139, 1983   DOI   ScienceOn
9 R. Jain, R. Kasturi, and B. G. Schunck, Machine Vision, 1st edition, McGraw-Hill Science/Engineering/ Math, March 1, 1995
10 Scanworks Datasheet, Perceptron, 2005