Presently, many achievements in various fields such as dyeing, textile or packaging industry
have been significantly gained. In this situation, the large scale of products has produced …

In actual processing plants, the quality and efficiency of the traditional spiral slope flow
concentrator still rely on workers to observe the changes in the mineral belt. However, in …

Wooden structures, over time, are challenged by different types of defects. Due to
mechanical and weathering effects, these defects can occur in the form of cracks, live and …

Ensuring tire quality is crucial in the manufacturing industry, particularly for race cars, where
defective tires present a significant safety risk. Visual inspection for defects in tires is crucial; …

In this paper, we propose a framework to automate the process of defect characterizing for
industrial structural component health monitoring by implementing automatic defect …

Tire X-ray nondestructive testing before leaving the factory is crucial for driving safety. Given
the complexity of tire structures and the diversity of defect types, traditional manual visual …

Recently, object detection based on deep learning has made great progress in the field of
defect detection. Due to its complex texture background and varied defect features, existing …

It is difficult for the spectrophotometer to meet the requirement of real-time color defect
detection for flexible packaging prints. The false of shape defect detection is caused by …

Gear contact spot plays a crucial role in evaluating gear mesh quality. Traditionally, tooth
surfaces of gear pairs have been manually brushed with red lead powder and visually …

Steel surface defect detection is one of the key tasks in industrial production and quality
control. Research on defect detection using deep learning algorithms has shown promising …