Application of machine learning in the analysis of surface quality – the detection the surface layer damage of the vehicle body
Authors:
- Dominik Nowakowski,
- Aneta Gądek-Moszczak,
- Paweł Lempa
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.
- Record ID
- CUT5f18bf3f45ec46268aec90d83375a022
- Publication categories
- ; ;
- Author
- Pages
- 864-869
- Other elements of collation
- il. (w tym kolor.); Bibliografia (na s.) - 868-869; Bibliografia (liczba pozycji) - 18; Oznaczenie streszczenia - Abstr.
- Book
- METAL 2021 : 30th Anniversary International Conference on Metallurgy and Materials, Brno, Czech Republic, EU, May 26 - 28, 2021 : conference proceedings, 2021, Ostrawa, TANGER Ltd., ISBN 978-80-87294-99-4
- Keywords in English
- machine learning, object recognition, CNN, quality, surface layer, coating
- DOI
- DOI:10.37904/metal.2021.4210 Opening in a new tab
- URL
- https://doi.org/10.37904/metal.2021.4210 Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 5
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT5f18bf3f45ec46268aec90d83375a022/
- URN
urn:pkr-prod:CUT5f18bf3f45ec46268aec90d83375a022
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.