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

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.