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Automatic inspection of aeronautic components

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Abstract

Industrial processes are costly in terms of time, money and customer satisfaction. The global economic pressures have gradually led businesses to improve these processes to become more competitive. As a result, the demand of intelligent visual inspection systems aimed at ensuring the high quality in production lines is increasing. In this paper, we present a computer vision system that, using only images, is able to address two main problems: (i) model checking: automatically check whether a component meets given specifications or rules, (ii) visual inspection: defect inspection on irregular surfaces, in particular, decolourization and scratches detection. In the experimental results, we show the effectiveness of our system and the readiness of such technologies for their integration in industrial processes.

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Notes

  1. We select camera 1 as master but any other camera could be used.

  2. This can also be done by modelling the rays in the reference system of the camera and then roto-translating the rays into the reference system of the model.

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Acknowledgements

This work was carried out under the support of the AvioAero company. Furthermore, we would like to thank Dr. Enrique Muñoz-Corral and Dr. Luca Mazzei for their invaluable technical and human support.

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Author notes

  1. M. San Biagio, C. Beltran, A. Del Bue and V. Murino contributed equally to this work.

Authors and Affiliations

  1. Pattern Analysis and Computer Vision Department (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy

    Marco San Biagio, Carlos Beltrán-González, Alessio Del Bue & Vittorio Murino

  2. AVIOAero, Rivalta di Torino, Italy

    Salvatore Giunta

Authors
  1. Marco San Biagio
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  2. Carlos Beltrán-González
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  3. Salvatore Giunta
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  4. Alessio Del Bue
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  5. Vittorio Murino
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Corresponding author

Correspondence to Carlos Beltrán-González.

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Conflict of interest

This research was funded by Avio Aero (grant number P37508).

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Biagio, M.S., Beltrán-González, C., Giunta, S. et al. Automatic inspection of aeronautic components. Machine Vision and Applications 28, 591–605 (2017). https://doi.org/10.1007/s00138-017-0839-1

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