The quality of the printed circuit board (PCB), an essential critical connection in
contemporary electronic information goods, directly influences the efficiency and …

Printed circuit boards (PCBs) are a nearly ubiquitous component of every kind of electronic
device. With the rapid development of integrated circuit and semiconductor technology, the …

The strip steel has been widely used in the manufacturing industry. Defects on the surface
are main factors to determine the quality of strip steel. Due to the various shapes of the …

Ensuring product quality and integrity is paramount in the rapidly evolving landscape of
industrial manufacturing. Although effective to a certain degree, traditional quality control …

To address the problems of low network accuracy, slow speed, and a large number of model
parameters in printed circuit board (PCB) defect detection, an improved detection algorithm …

Surface defect detection for the printed circuit board (PCB) is essential in PCB
manufacturing. Existing defect detection networks have several problems: low detection …

Convolutional neural networks (CNNs) have excelled in artificial intelligence, particularly in
image-related tasks such as classification and object recognition. However, manually …

In recent years different types of Residual Neural Networks (ResNets, for short) have been
introduced to improve the performance of deep Convolutional Neural Networks. To cope …

Industrial products typically lack defects in smart manufacturing systems, which leads to an
extremely imbalanced task of recognizing surface defects. With this imbalanced sample …

Multi-scale defect detection on bearing surfaces is a challenging task due to the varying
sizes and shapes of the defects and character-induced noise backgrounds. It has been …