Unsupervised PCB Anomaly Segmentation with Foundational Models

CH Ho, SB Seo, NY Kim, PY Wu, YS Bae… - Electronic …, 2024 - library.imaging.org
PCB defect segmentation aims to localize the defects in printed circuit boards (PCBs). While
this problem has a great industrial impact, few datasets are publicly available. It is also …

Defect Recognition on Single Layer Bare Printed Circuit Boards for Quality Control and Visual Inspection: A Low-Sample-Size Deep Transfer Learning Approach

YD Austria, AC Fajardo - 2023 9th International Conference on …, 2023 - ieeexplore.ieee.org
Defect detection is a critical component in ensuring the highest quality of printed circuit
board manufacture. The work investigates the application of transfer learning to identify …