| Issue |
MATEC Web Conf.
Volume 357, 2022
25th Polish-Slovak Scientific Conference on Machine Modelling and Simulations (MMS 2020)
|
|
|---|---|---|
| Article Number | 04004 | |
| Number of page(s) | 8 | |
| Section | Advanced Industrial, Automotive and Green Energy Applications | |
| DOI | https://doi.org/10.1051/matecconf/202235704004 | |
| Published online | 22 June 2022 | |
SVM Algorithm for Industrial Defect Detection and Classification
1 AGH University of Science and Technology, Faculty of Mechanical Engineering and Robotics, Kraków, Poland
2 HandCraft Polska Sp. z o.o., ul. Węgierska 12 B, 33-340 Stary Sącz
This article presents a new algorithm for recognizing defects and discontinuities. It is a neural classification algorithm of the SVM class used for the vision system in the technological sequence. At the basis of the used method of Support Vector Machines (SVM) lies the concept of decision-making space, which is divided by building boundaries separating objects with different class affiliation, that is, defects and discontinuities. The Support Vector Machines method is supposed to perform classification tasks by constructing in a multidimensional space hyperplane separating cases belonging to different classes.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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