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Pregled bibliografske jedinice broj: 1266376

Possibilities of Evaluating the Dimensional Acceptability of Workpieces Using Computer Vision


Svalina, Ilija; Turinski, Dražen; Grgić, Ivan; Havrlišan, Sara
Possibilities of Evaluating the Dimensional Acceptability of Workpieces Using Computer Vision // Tehnički glasnik, 17 (2023), 1; 112-119 doi:10.31803/tg-20221109143423 (međunarodna recenzija, članak, znanstveni)


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Naslov
Possibilities of Evaluating the Dimensional Acceptability of Workpieces Using Computer Vision

Autori
Svalina, Ilija ; Turinski, Dražen ; Grgić, Ivan ; Havrlišan, Sara

Izvornik
Tehnički glasnik (1846-6168) 17 (2023), 1; 112-119

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
computer vision ; dimensional control ; fuzzy C-means clustering ; image processing ; vision measurement
(computer vision ; dimensional control ; fuzzy C-means clustering ; image processing ; vision measuremen)

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo



POVEZANOST RADA


Ustanove:
Strojarski fakultet, Slavonski Brod,
Sveučilište u Slavonskom Brodu

Profili:

Avatar Url Ilija Svalina (autor)

Avatar Url Ivan Grgić (autor)

Avatar Url Sara Havrlišan (autor)

Avatar Url Dražen Turinski (autor)

Poveznice na cjeloviti tekst rada:

doi hrcak.srce.hr

Citiraj ovu publikaciju:

Svalina, Ilija; Turinski, Dražen; Grgić, Ivan; Havrlišan, Sara
Possibilities of Evaluating the Dimensional Acceptability of Workpieces Using Computer Vision // Tehnički glasnik, 17 (2023), 1; 112-119 doi:10.31803/tg-20221109143423 (međunarodna recenzija, članak, znanstveni)
Svalina, I., Turinski, D., Grgić, I. & Havrlišan, S. (2023) Possibilities of Evaluating the Dimensional Acceptability of Workpieces Using Computer Vision. Tehnički glasnik, 17 (1), 112-119 doi:10.31803/tg-20221109143423.
@article{article, author = {Svalina, Ilija and Turinski, Dra\v{z}en and Grgi\'{c}, Ivan and Havrli\v{s}an, Sara}, year = {2023}, pages = {112-119}, DOI = {10.31803/tg-20221109143423}, keywords = {computer vision, dimensional control, fuzzy C-means clustering, image processing, vision measurement}, journal = {Tehni\v{c}ki glasnik}, doi = {10.31803/tg-20221109143423}, volume = {17}, number = {1}, issn = {1846-6168}, title = {Possibilities of Evaluating the Dimensional Acceptability of Workpieces Using Computer Vision}, keyword = {computer vision, dimensional control, fuzzy C-means clustering, image processing, vision measurement} }
@article{article, author = {Svalina, Ilija and Turinski, Dra\v{z}en and Grgi\'{c}, Ivan and Havrli\v{s}an, Sara}, year = {2023}, pages = {112-119}, DOI = {10.31803/tg-20221109143423}, keywords = {computer vision, dimensional control, fuzzy C-means clustering, image processing, vision measuremen}, journal = {Tehni\v{c}ki glasnik}, doi = {10.31803/tg-20221109143423}, volume = {17}, number = {1}, issn = {1846-6168}, title = {Possibilities of Evaluating the Dimensional Acceptability of Workpieces Using Computer Vision}, keyword = {computer vision, dimensional control, fuzzy C-means clustering, image processing, vision measuremen} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Emerging Sources Citation Index (ESCI)
  • Scopus


Citati:





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