System of automated detection of ceramic disc surface defects
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Дата
2021
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Анотація
handheld USB digital microscope is considered as an instrument
for ceramic disk inspection automatization in the production cycle. It provides the
opportunity for surface defect detection in the needed range from 50 to 500 μm. Such
a device providing 15 fps with the standard VGA resolution of 640x480 pixels
enables one track scan for 18 seconds. As a decision unit, a system based on the
artificial neural network was used. The basic system software has been developed. A
study of the object illumination and the size of the database influence on artificial
neural network training results (probability of defect detection) have been carried
out. The use of digital filtration, adaptive histogram equalization, threshold function,
and feature detection as a classical approach showed a good result. Deep learning
has proven its effectiveness, selecting features of the defect and presenting more
stable results in defect detection.
Опис
Konechnyi B. System of automated detection of ceramic disc surface defects / B. Konechnyi ; sci. advisors M. Semenchenko, R. Velgan // Black Sea Science 2021. Information Technology, Automation and Robotics : рroc. of the Intern. Competition of Student Scientific Works / Odessa Nat. Acad. of Food Technologies ; eds. B. Yegorov, M. Mardar, S. Kotlyk [et al.]. – Odessa : ONAFT, 2021. – P. 513-525 : tabl., fig. – Ref.: 10 tit.
Ключові слова
artificial neural network, image recognition system, digital microscope, ceramic discs