pv magazine International

Ensemble deep learning for PV cell defect detection

Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...
EurekAlert!

Ensuring flawless metal 3D printing: New research tackles high-fidelity, high-resolution process monitoring

Researchers from Northwestern University, University of Virginia, Carnegie Mellon University, and Argonne National Laboratory have made a significant advancement in defect detection and process ...
Semiconductor Engineering

Comparison Of State-Of-The-Art Models For Socket Pin Defect Detection

This article is adapted from a presentation at TestConX, March 5-8, 2023, Mesa, AZ, by Vijayakumar Thangamariappan, Nidhi Agrawal, Jason Kim, Constantinos Xanthopoulos, Ira Leventhal, and Ken Butler, ...
Semiconductor Engineering

Using Automatic Defect Classification To Reduce The Escape Rate Of Defects

Automated optical inspection (AOI) is a cornerstone in semiconductor manufacturing, assembly and testing facilities, and as such, it plays a crucial role in yield management and process control.