Computers and electrical engineering have made great strides in steel plate manufacturing.
Defect recognition techniques have also evolved. However, due to the large scale of defects …

This research focuses on trading card quality inspection, where defects have a significant
effect on both the quality inspection and grading. The present inspection procedure is …

Surface defect detection is a critical yet challenging task in the product production process,
mainly because of the complex background texture on the material surface, the large intra …

In industrial manufacturing sites, defect detection is crucial to improve reliability and lower
inspection costs. Though prior anomaly detectors have shown success, they rely on large …

Current engineering application scenarios often face the challenge of imbalanced data,
hybrid sampling is an effective method to deal with the imbalanced data classification issue …

The process of printing defect detection usually suffers from challenges such as inaccurate
defect extraction and localization, caused by uneven illumination and complex textures …

Surface-defect inspection is vital in cold-rolled steel-strip manufacturing, given the
complexities of production environments and the high speeds involved. Further, the defects …

This article aims to improve the deep-learning-based surface defect recognition. In actual
manufacturing processes, there are issues such as data imbalance, insufficient diversity …

Within the realm of computer vision, the detection of defects holds significant importance for
industrial production and quality assurance. However, current object detection methods …

The Auckland Harbour Bridge (AHB) utilises a movable concrete barrier (MCB) to regulate
the uneven bidirectional flow of daily traffic. In addition to the risk of human error during …