In the realm of modern electronics, Printed Circuit Boards (PCBs) serve as fundamental
components, facilitating the seamless integration of circuits across a wide spectrum of …

The PCB serves as a critical component in the project's electronic system, to achieve specific
functionality. This paper introduces the YOLO v7 deep learning method for defect …

As computer vision and deep learning detection techniques advance rapidly, their use in
identifying defects has become more common across various industries. The significance of …

This study provides an improved YOLOv8-based printed circuit board (PCB) defect
identification method to address the current challenges associated with PCB defect …

Addressing the performance and efficiency challenges of detecting small target defects on
PCB (printed circuit board), this research proposes a lightweight inspection model for …

Reproduced circuit boards (PCBs) are a crucial element in contemporary electronic goods,
and their manufacturing process presents challenges for environmental control and has …

Defect detection in the manufacture of printed circuit boards (PCB) is a crucial requirement
for quality inspections. In the past, defect inspections in PCB production were performed …

With the improvement of integrated circuit integration, the industrial complexity of printed
circuit boards is gradually increasing, and the defects generated in the manufacturing …

Almost every electronic product used regularly contains printed circuit boards, which in
addition to being used for business purposes are also used for security applications. Manual …

The emergence of deep learning-based chip quality inspection systems marks a significant
leap in modern technology. Chips, crucial to high-tech industries, greatly impact product …