Over the last few decades, detecting surface defects has attracted significant attention as a
challenging task. There are specific classes of problems that can be solved using traditional …

Industry 4.0 is the new industrial revolution. By connecting every machine and activity
through network sensors to the Internet, a huge amount of data is generated. Machine …

Real-time and vision-based quality control for industrial processes has drawn great interest
from both scientists and practitioners, particularly following the transition to Zero Defect …

Fused filament fabrication (FFF) is one of the fastest-growing additive manufacturing
processes due to its low operational cost and the capability to rapidly construct prototypes …

Strengthening production plants and process control functions contribute to a global
improvement of manufacturing systems because of their cross-functional characteristics in …

Zero Defect Manufacturing (ZDM) can be described as the set of methodologies and
strategies for the elimination of defective components during production, and is one of the …

In this study, we present a framework for product quality inspection based on deep learning
techniques. First, we categorize several deep learning models that can be applied to product …

Defect detection is one of the main areas that Industry 4.0 concepts like automation, IoT,
digitization and AI aimed to provide solutions. In this work, a platform that extends the …

Successful transition of manufacturing enterprises to Industrie 4.0 (I4. 0) is highly dependent
on the adoption and integration of new technologies, toward making manufacturing …

The online monitoring and prediction of tool wear are important to maintain the stability of
machining processes. In most cases, the tool wear condition can be evaluated by signals …