Automatic Visible Defect Detection and Classification System Prototype Development for Iron-and-Steel Works

Rustem Alkapov,Nikolay Valkevich,Pavel Kostenetskiy,Artem Konyshev,Nikita Vetoshkin

doi:10.1109/glosic.2018.8570081

Automatic Visible Defect Detection and Classification System Prototype Development for Iron-and-Steel Works

Rustem Alkapov, Nikolay Valkevich + Show 3 more

https://doi.org/10.1109/glosic.2018.8570081

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Publication Date: Nov 1, 2018

Citations: 24

Affiliation: South Ural State University

#Automatic Defect Detection System #Use Of Convolutional Neural Networks + Show 8 more

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Abstract

This paper is written as a part of “Automatic visible defect detection and classification system (AVDDCS) development for Electrolytic Tinning Unit” project for Iron and Steel Works. As a part of pre-design research, a system prototype was developed. It consists of Preprocessor, Classifier, Server, Database and User interface. The difference between this prototype and analogs is the use of convolutional neural networks to improve the accuracy of the classification of visible defects.

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