Semiconductor Engineering

Identifying PCB Defects with a Deep Learning Single-Step Detection Model

This new technical paper titled “End-to-end deep learning framework for printed circuit board manufacturing defect classification” is from researchers at École de technologie supérieure (ÉTS) in ...
Nature

A novel PCB surface defect detection method based on separated global context attention to guide residual context aggregation

In the production and manufacturing of Printed Circuit Boards (PCBs), defects can arise negatively impact to both product performance and usability. To tackle the issue of false detections stemming ...
Nature

Defect Detection Techniques in Printed Circuit Board Inspection

Printed circuit boards (PCBs) are the foundation of modern electronic devices and demand rigorous quality control to prevent failures caused by manufacturing defects. Contemporary inspection ...
Electronic Design

PCB Testing Throughout the Production Process: Matter and Methods

What methods can be applied to verify PCB functionality and safety? Which are suitable for mass production and for prototypes? What parameters are checked in each test? How to check a PCB without ...