Researchers have designed a robust image-based anomaly detection (AD) framework with illumination enhancement and noise suppression features that can enhance the detection of subtle defects in ...
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 ...
What if manufacturing companies could pinpoint the exact cause of a defect the moment it occurs, preventing costly production delays and ensuring top-notch quality? Generative artificial intelligence ...
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, ...
Hidden semiconductor defects often pass inspection but fail later in operation. Learn how latent defects form, evade ...
Pickup defects, which we define at late pickups from a vendor or shipper site, represent a very costly challenge in ...
Detecting macro-defects early in the wafer processing flow is vital for yield and process improvement, and it is driving innovations in both inspection techniques and wafer test map analysis. At the ...
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