The main objective of this project is to let students apply the image processing techniques that been taught in class in a given conditions based on their title. This particular project involved the ...

The objective of this project is to develop an automated system capable of identifying and classifying defects on Printed Circuit Boards (PCB). In the electronics ...

Automated detection and classification of defects in Printed Circuit Boards (PCBs) using deep learning and explainable AI techniques. The system supports both an end-to-end CNN classifier and a hybrid ...

Abstract: Aiming at the problem that the defects generated in the manufacturing process of PCB will lead to the decline of the quality and performance of electronic products, the traditional defect ...

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 ...

Abstract: The paper proposes PCB-DETR, a novel detection network for PCB surface defect identification, which enhances the performance of small defect detection through improvements to the ...

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 ...

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 ...