Skip to main content

Advertisement

SpringerLink
Log in

A machine-vision system for automated quality control of welded rings

  • Original Paper
  • Published:
Machine Vision and Applications Aims and scope Submit manuscript

Abstract

In this paper we describe the development and application of an intelligent measuring control system with integrated robot vision, to enable the solving of complex assembly and quality control tasks with high accuracy and speed. The existing quality-control procedure for welded rings involves a visual observation of the inner surface of the welded ring and the use of calipers. As explained in Section “Determination of the control goals”, this leads to limitation of the ring accuracy and the ability to detect faults. To overcome these limitations we have developed a non-contact control method implemented in the machine-vision system. The development and application of machine-vision is a multifold problem. It requires a great amount of expert knowledge, experience and innovation. We present a machine-vision system consisting of a mathematical algorithm developed for accurate measurement of the diameter and roundness of welded rings, to be used along with physical measurements. The principle of the measuring method and the required equipment are given in Section “Main idea of the measurement”. Section “Theoretical description of the algorithm” contains the mathematical formulation implemented in a computer algorithm for the measured parameters. Section “Algorithm verification and the necessary corrections” describes analytical experiments conducted to verify the accuracy of the algorithm and derive necessary corrections. Three systems with different range of quality and accuracy are compared and discussed at the end of the paper. The developed machine-vision measuring system was successfully implemented in industrial application, thus eliminating human subjectivity.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Trdic, F.: Real industrial environment problems. http://www.fdsresearch.si (2006)

  2. Herakovic N.: Computer and machine vision used in robotic assembly process. J. Mech. Eng. I 53, 858–871 (2007)

    Google Scholar 

  3. Braggins D.: Vision today for assembly automation. Assem. Autom. 26(3), 181–183 (2006)

    Article  Google Scholar 

  4. Ostojić G., Lazarević M., Stankovski S., Ćosić I., Radosavljavić Z.: Radio frequency identification technology application in disassembly systems. J. Mech. Eng. 54(11), 759–767 (2008)

    Google Scholar 

  5. West, P.: A Roadmap for Building a Machine Vision System. Automated Vision System, Inc. (2006)

  6. Trdic, F.: Vision Technologies and Neuro Inspectors Training Course. FDS Research Company (2000)

  7. Skvarc, J.: Solving an Industrial Problems Using the Machine Vision as an Universal Appliance. FDS Research Company (2000)

  8. Petrisic, J., Suhadolnik, A., Kosel, F.: Object length and area calculations on the digital image. In: 12th International Research/Expert Conference. Trends in the Development of Machinery and Associated Technology TMT 2008, Istanbul, Turkey, 26–30 August 2008

  9. Pauli J.: Learning-Based Robot Vision. Principles and Applications. Springer, New York (2001)

    MATH  Google Scholar 

  10. Redford A.H.: Robots in Assembly. Open University Press, Milton Keynes (1986)

    Google Scholar 

  11. Demeyere M.: Noncontact Dimensional Metrology by Triangulation Under Laser Plane Lighting. Uiniversite catholique de Louvain, Belgium (2006)

    Google Scholar 

  12. Hecht E.: Optics. Addison-Wesley, Reading (1987)

    Google Scholar 

  13. Gruen A.: Calibration and Orientation of Cameras in Computer Vision. Springer, Berlin (2001)

    MATH  Google Scholar 

  14. Marjetič, A., Turk, G.: A geometric center of surface and body determination. Geodetski vestnik 48 (2004)

  15. Borke, P.: Calculating the area and centroid of a polygon. Geometry, Surface, Curves, Polyhedra (1988)

  16. Smith, G.: Polygon centroids and centres. Geospatial Analysis. Longley (2006–2008)

  17. Zhao J.W., Chen G.Q.: Roundness Error Assessment. Institute of Physics Publishing, Bristol (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Mechanical Engineering, Laboratory for Handling, Assembly and Pneumatics, University of Ljubljana, Ljubljana, Slovenia

    Niko Herakovic & Marko Simic

  2. FDS Research, Trzin, Slovenia

    Francelj Trdic & Jure Skvarc

Authors
  1. Niko Herakovic
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Marko Simic
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Francelj Trdic
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jure Skvarc
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Marko Simic.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Herakovic, N., Simic, M., Trdic, F. et al. A machine-vision system for automated quality control of welded rings. Machine Vision and Applications 22, 967–981 (2011). https://doi.org/10.1007/s00138-010-0293-9

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00138-010-0293-9

Keywords

Search

Navigation