Skip to main content
SpringerLink
Log in

Calibration based on part set-up measurement for on-machine inspection using vision

  • Original Paper
  • Published:
International Journal on Interactive Design and Manufacturing (IJIDeM) Aims and scope Submit manuscript

Abstract

Integrating inspection procedures in the machining process contributes to process optimization. To be highly efficient, inspection operations must be performed in the same frame as machining operations. Within the context of on-machine inspection using vision, a method of calibration based on part set-up measurement is proposed in this paper. The measurement frame thus coincides with the CAD/CAM frame in which the CAD model is built. The CAD-based calibration is performed by using 3D features of the part set-up, which are easily identifiable in the 2D picture of the scene. The robustness of the method with regard to 2D feature identification in real environment is assessed thanks to Monte-Carlo simulations.

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.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  1. Chen, F., Su, C.: Vision-based automated inspection system in computer integrated manufacturing. Inter. J. Adv. Manuf. Technol. 11, 206–213 (1996)

    Article  Google Scholar 

  2. Vacharanukul, F., Mekid, S.: In-process dimensional inspection sensors. Measurement 38, 204–218 (2005)

    Article  Google Scholar 

  3. Yandayan, T., Burdekin, M.: In-process dimensional measurement and control of workpiece accuracy. Inter. J. Mach. Tool Manuf. 37(10), 1423–1439 (1997)

    Article  Google Scholar 

  4. Quinsat, Y., Tournier, C.: In situ non-contact measurements of surface roughness. Precis. Eng. 36, 97–103 (2012)

    Article  Google Scholar 

  5. Poulahon, F.: Génération en ligne de trajectoires d’usinage par une approche de réduction de modéle, PhD thesis, Ecole Centrale de Nantes (2015)

  6. Poulhaon, F., Rauch, M., Leygue, A., Hascoet, J.Y., Chinesta, F.: Online prediction of machining distortion of aeronautical parts caused by re-equilibration of residual stresses. Key Eng. Mater. 612, 1327–1335 (2014)

    Article  Google Scholar 

  7. Karabagli, B.: Vérification automatique des montages d’usinage par vision : application la sécurisation de l’usinage, PhD thesis, Université de Toulouse Le Mirail (2013)

  8. Karabagli, B., Simon T., Orteu J.J.: Computer-vision-based automatic verification of machining setups: method for automatic pose estimation joint international conference of ISEM-ACEM-SEM-7th ISEM’12, Taipei (Taiwan), (2012)

  9. Ahmad, R., Tichadou, S., Hascoet, J.-Y.: Integration of vision based image processing for multi-axis CNC machine tool safe and efficient trajectory generation and collision avoidance. J. Mach. Eng. 10, 53–65 (2010)

    Google Scholar 

  10. Dornaika, F., Garcia, C.: Robust camera calibration using 2D to 3D feature correspondences. Proceedings of the international symposium SPIE optical science engineering and instrumentation, videometrics V 3174, pp. 123–133 (1997)

  11. Faugeras, O., Toscani, G.: Camera calibration for 3D computer vision, International Workshop on Machine Vision and Machine Intelligence, pp. 240-247 (1987)

  12. Lavest, J.-M., Viala, M., Dhome, M.: Do we really need an accurate calibration pattern to achieve a reliable camera calibration? Comput Vis 1406, 158–174 (1998). (ECCV98)

    Google Scholar 

  13. Bouguet, J.Y.: Camera calibration toolbox for matlab, Computational Vision at the California Institute of Technology, California (2010)

  14. Douilly, M.: Contribution lamélioration de la qualit gomtrique de positionnement dun robot anthropomorphe dans le cas dassemblage de structures aronautiques, PhD thesis, Ecole Normale Supérieur de Cachan, (2009)

  15. Tsai R.Y.: An efficient and accurate camera calibration technique for 3D machine vision. Proceedings of IEEE conference on computer vision and pattern recognition, Miami Beach, pp. 364–374 (1986)

  16. Ma, S., Wei, G., Huang, J.: Segment based camera calibration. J. Comput. Sci. Technol. 8(1), 11–16 (1993)

    Article  Google Scholar 

  17. Beaubier, B., Dufour, J.-E., Hild, F., Roux, S., Lavernhe, S., Lavernhe-Taillard, K.: CAD-based calibration and shape measurement with stereodic. Exp. Mech. 54, 329–341 (2014)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. LURPA, ENS Cachan, Univ Paris-Sud, 94235, Cachan, France

    Lorène Dubreuil, Yann Quinsat & Claire Lartigue

Authors
  1. Lorène Dubreuil
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yann Quinsat
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Claire Lartigue
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Claire Lartigue.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dubreuil, L., Quinsat, Y. & Lartigue, C. Calibration based on part set-up measurement for on-machine inspection using vision. Int J Interact Des Manuf 9, 317–323 (2015). https://doi.org/10.1007/s12008-015-0290-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12008-015-0290-3

Keywords

Search

Navigation