Automatic inspection of aeronautic components

Automatic inspection of aeronautic components 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Machine Vision and Applications Springer Journals
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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2017 by Springer-Verlag Berlin Heidelberg
Subject
Computer Science; Pattern Recognition; Image Processing and Computer Vision; Communications Engineering, Networks
ISSN
0932-8092
eISSN
1432-1769
D.O.I.
10.1007/s00138-017-0839-1
Publisher site
See Article on Publisher Site

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.

Journal

Machine Vision and ApplicationsSpringer Journals

Published: May 20, 2017

References

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