Pregled bibliografske jedinice broj: 1266376
Possibilities of Evaluating the Dimensional Acceptability of Workpieces Using Computer Vision
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)
CROSBI ID: 1266376 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
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
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- Scopus