Technical Journal, Vol. 17 No. 1, 2023.
Preliminary communication
https://doi.org/10.31803/tg-20221109143423
Possibilities of Evaluating the Dimensional Acceptability of Workpieces Using Computer Vision
Ilija Svalina
orcid.org/0000-0003-2375-7367
; University of Slavonski Brod, Mechanical Engineering Faculty in Slavonski Brod, Trg I. B. Mažuranić 2, 35000 Slavonski Brod, Croatia
Dražen Turinski
orcid.org/0000-0002-2535-7378
; University of Slavonski Brod, Mechanical Engineering Faculty in Slavonski Brod, Trg I. B. Mažuranić 2, 35000 Slavonski Brod, Croatia
Ivan Grgić
orcid.org/0000-0002-7429-6225
; University of Slavonski Brod, Mechanical Engineering Faculty in Slavonski Brod, Trg I. B. Mažuranić 2, 35000 Slavonski Brod, Croatia
Sara Havrlišan
; University of Slavonski Brod, Mechanical Engineering Faculty in Slavonski Brod, Trg I. B. Mažuranić 2, 35000 Slavonski Brod, Croatia
Abstract
This paper discusses the possibilities of an automated solution for determining dimensionally accurate and defective products using a computer vision system. In a real industrial environment, research was conducted on a prototype of a quality control machine, i.e. a machine that, based on product images, evaluates whether the product is accurate or defective using computer vision. Various geometric features are extracted from the obtained images of products, on the basis of which a fuzzy inference system based on Fuzzy C-means clustering features is created. The extracted geometric features represent the input variables, and the output variable has two values - true and false. The root mean square error in the evaluation of the accuracy and defectiveness of products ranges between 0.07 and 0.16. Through this research, valuable findings and conclusions were reached for the future research, since this topic is poorly examined in the most renowned databases.
Keywords
computer vision; dimensional control; fuzzy C-means clustering; image processing; vision measurement
Hrčak ID:
292490
URI
Publication date:
15.3.2023.
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