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

A dataset for deep learning based detection of printed circuit board surface defect

Printed circuit board (PCB) may display diverse surface defects in manufacturing. These defects not only influence aesthetics but can also affect the performance of the PCB and potentially damage the ...
Semiconductor Engineering

Demand Grows For Reducing PCB Defects

Board manufacturers are boosting their investment in inspection, test and analytics to meet the increasingly stringent demands for reliability in safety-critical sectors like automotive. This ...
EDN

PCB factories embrace AI

The evolution of PCBs from large and antiquated “printed wiring boards” to today’s fine-line designs on high-density interconnect (HDI) PCBs, IC substrates (ICS) and more, has been matched by ...