Journal
LIGHT & ENGINEERING
Volume 30, Issue 4, Pages 18-24Publisher
ZNACK PUBLISHING HOUSE
DOI: 10.33383/2022-007
Keywords
image; computer vision; pattern comparison; histogram; production output
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This article demonstrates the application of computer vision methods in assessing the quality of ceramic brick production. A method of color difference is presented for evaluating industrial product quality, utilizing real images of the production process and assessing the color difference from a sample. The proposed solution offers automation and accelerated evaluation compared to traditional visual observation methods.
This article shows one of the applications of computer vision methods in the problem of assessing the quality of the production of ceramic bricks. The tasks of quality assessment include the selection of chips, cracks, scratches, as well as colour changes. The article provides a method of colour difference for assessing the quality of industrial products. Real images of the production process are taken as a basis, for which methods for highlighting bricks have been developed, and for each an assessment of the colour difference from the sample is carried out. The proposed solution to the problem allows you to automate and speed up the process of assessing the quality of brick products in contrast to typical schemes for solving the same problem using visual observation.
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