Automatic vision-based inspection systems have played a key role in product quality
assessment for decades through the segmentation, detection, and classification of defects …

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 …

Surface defect detection (SDD) is critical in the smart manufacturing systems to ensure
product quality. Nevertheless, the defective samples are always insufficient, and there exists …

Detecting rare and costly defects, such as necks and splits in sheet metal stam**, remains
challenging for deep learning models due to low failure rates entailing few available …

Abstract Machine-vision-based defect detection for large metal stam** is a fundamental
requirement for improving product quality and inspection speed. However, the performance …

Keyhole tungsten inert gas (keyhole TIG) welding is renowned for its advanced efficiency,
necessitating a real-time defect detection method that integrates deep learning and …

Visual defect detection is an important aspect of quality inspection. High performance
manufacturing can benefit from automating defect detection, and deep learning techniques …

Crack detection plays an important role in the industrial inspection of stamped metal
products. While supervised learning methods are commonly used in the quality assessment …

The inconceivable volume of online images produced by websites and personal collections
has made it difficult to retrieve images from vast databases accurately. Practically …

This study presents a framework for the real-time detection of surface cracking in large-sized
stamped metal parts. The framework aims to address the challenges of low detection …