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APPLICATION OF MACHINE LEARNING IN THE ANALYSIS OF SURFACE QUALITY – THE DETECTION THE SURFACE LAYER DAMAGE OF THE VEHICLE BODY

1 NOWAKOWSKI Dominik
Co-authors:
1 GĄDEK-MOSZCZAK Aneta 1 LEMPA Pawel
Institution:
1 Cracow University of Technology, Faculty of Mechanical Engineering, Cracow, Poland, EU, dominikn911@gmal.com, aneta.gadek-moszczak@pk.edu.pl, pawel.lempa@pk.edu.pl
Conference:
30th Anniversary International Conference on Metallurgy and Materials, Brno, Czech Republic, EU, May 26 - 28, 2021
Proceedings:
Proceedings 30th Anniversary International Conference on Metallurgy and Materials
Pages:
864-869
ISBN:
978-80-87294-99-4
ISSN:
2694-9296
DOI:
https://doi.org/10.37904/metal.2021.4210
Published:
15th September 2021
Proceedings of the conference have already been published in Scopus and we are waiting for evaluation and potential indexing in Web of Science.
Metrics:
376 views / 219 downloads
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Abstract

Assessment of the surface of the car’s element is an attempt to applythe image processing and machine learning methods for analysis of surface layer quality. In presented experiment set of the images with damaged surface layer of vehicles were used to design and train CNN for detection of scratches. Proposed approach provides promising positive results, and proved that it is possible to performed automatic detection of damaged surface of the vehicle. This experiment shows that there is still a lot of fields of application the image recognition with machine learning methods.

Keywords: Machine learning, object recognition, CNN, quality, surface layer, coating

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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