The quality, wear and safety of metal structures can be controlled effectively, provided that
surface defects, which occur on metal structures, are detected at the right time. Over the past …

Automatic defect detection on the metal surface is a vital task for product inspection in
industrial assembly lines or production processes. Owing to miscellaneous patterns of …

Blockchain technology is used to support digital assets such as cryptocurrencies and tokens.
Commonly, smart contracts are used to generate tokens on top of the blockchain network …

Artificial intelligence (AI)-empowered defect detection has emerged as a promising solution
for enhancing quality control in manufacturing. While prevalent object detection-based …

In the competitive landscape of steel-strip production, ensuring the high quality of steel
surfaces is paramount. Traditionally, human visual inspection has been the primary method …

Computer vision and deep learning techniques are the most emerging technologies in this
era. Both of these can greatly raise the rate at which defects on metal surfaces are identified …

Computational fluid dynamics (CFD) solvers provide helpful components and amenities for
industrial development and the advancement of fluid flow simulations. Nevertheless, CFD …

Purpose The purpose of this study is to propose a new method for the end-to-end
classification of steel surface defects. Design/methodology/approach This study proposes an …

Checking the surface of steel is still primarily done manually and visually in the industrial
business. Because of the high number and surface area of steel, inspection is time-intensive …

Abstract (DE) In dieser Arbeit werden Methoden für die Inline-Überwachung umgeformter
Blechteile mittels 2D-Bildverarbeitung entwickelt und deren Sensitivität hinsichtlich der …