In the era of Industry 4.0, the vast development of Smart Factory is always followed by the
advancement of Deep Learning technology. To avoid the smart factory system from …

In the process of modern industry, the surface defects of industrial products seriously affect
the quality, safety, usability and aesthetics of products. Based on the method of deep …

Some uncontrollable defects will occur on the surface of metal workpieces during
processing. The existence of surface defects not only affects the appearance of the finished …

Steel is one of the most important building materials of our time, and the process of
producing flat plates is complex. Before steel is shipped or delivered, the sheets must …

Detecting steel surface defects is one of the challenging problems for industries worldwide
that had been used in manufacturing quality management. Manual inspection of the steel …

The most obvious difference between the recent smart factory and the traditional automation
factory is that the techniques about internet of thing (IoT) are introduced. The smart factory …

Deep learning has been constantly improving in recent years and a significant number of
researchers have devoted themselves to the research of defect detection algorithms …

Ensuring the quality of industrial production for the steel industry is very crucial. For
complete defect detection, it is important to know the exact location and class of defect, due …

Welding defects not only bring several economic losses to enterprises and individuals but
also threatens peoples lives. We propose a deep learning model, where the data-trained …

Paint film can protect and decorate the metallic workpieces. Automatic defect detection of
paint film is important and challenging for intelligent manufacturing. In this paper, the surface …