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Intelligent Machine Vision System for Automated Quality Control in Ceramic Tiles Industry

Tomislav KESER ; Faculty of Electrical Engineering, J.J. Strossmayer University of Osijek, Osijek, Hrvatska
Željko HOCENSKI ; Faculty of Electrical Engineering, J.J. Strossmayer University of Osijek, Osijek, Hrvatska
Verica HOCENSKI ; KIO ceramic industry, Orahovica, Croatia

Puni tekst: engleski, pdf (3 MB) str. 105-114 preuzimanja: 1.137* citiraj
APA 6th Edition
KESER, T., HOCENSKI, Ž. i HOCENSKI, V. (2010). Intelligent Machine Vision System for Automated Quality Control in Ceramic Tiles Industry. Strojarstvo, 52 (2), 105-114. Preuzeto s https://hrcak.srce.hr/56738
MLA 8th Edition
KESER, Tomislav, et al. "Intelligent Machine Vision System for Automated Quality Control in Ceramic Tiles Industry." Strojarstvo, vol. 52, br. 2, 2010, str. 105-114. https://hrcak.srce.hr/56738. Citirano 25.06.2019.
Chicago 17th Edition
KESER, Tomislav, Željko HOCENSKI i Verica HOCENSKI. "Intelligent Machine Vision System for Automated Quality Control in Ceramic Tiles Industry." Strojarstvo 52, br. 2 (2010): 105-114. https://hrcak.srce.hr/56738
Harvard
KESER, T., HOCENSKI, Ž., i HOCENSKI, V. (2010). 'Intelligent Machine Vision System for Automated Quality Control in Ceramic Tiles Industry', Strojarstvo, 52(2), str. 105-114. Preuzeto s: https://hrcak.srce.hr/56738 (Datum pristupa: 25.06.2019.)
Vancouver
KESER T, HOCENSKI Ž, HOCENSKI V. Intelligent Machine Vision System for Automated Quality Control in Ceramic Tiles Industry. Strojarstvo [Internet]. 2010 [pristupljeno 25.06.2019.];52(2):105-114. Dostupno na: https://hrcak.srce.hr/56738
IEEE
T. KESER, Ž. HOCENSKI i V. HOCENSKI, "Intelligent Machine Vision System for Automated Quality Control in Ceramic Tiles Industry", Strojarstvo, vol.52, br. 2, str. 105-114, 2010. [Online]. Dostupno na: https://hrcak.srce.hr/56738. [Citirano: 25.06.2019.]

Sažetak
Intelligent system for automated visual quality control of ceramic tiles based
on machine vision is presented in this paper. The ceramic tiles production
process is almost fully and well automated in almost all production stages
with exception of quality control stage at the end. The ceramic tiles quality
is checked by using visual quality control principles where main goal is to
successfully replace man as part of production chain with an automated
machine vision system to increase production yield and decrease the
production costs. The quality of ceramic tiles depends on dimensions and
surface features. Presented automated machine vision system analyzes
those geometric and surface features and decides about tile quality by
utilizing neural network classifier. Refined methods for geometric and
surface features extraction are presented also. The efficiency of processing
algorithms and the usage of neural networks classifier as a substitution for
human visual quality control are confirmed.

Ključne riječi
Ceramic tiles; Machine vision; Neural networks; Visual inspection; Quality control

Hrčak ID: 56738

URI
https://hrcak.srce.hr/56738

[hrvatski]

Posjeta: 1.596 *