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 ...

“Semiconductor lithography inspection requires reliable detection of small pattern defects such as bridge, burr, pinch, and contamination. In this study, we propose a two-stage vision-language ...

Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry transitions into an ordered state, it can form stable imperfections known as ...

The novel method uses the YOLOv8 framework, integrating an attention mechanism and a transformer model. It was tested on a dataset of 4,500 electroluminescence images against several other models and ...

Two alumni of Greenwood High International School have secured first place in the poster competition at Purdue University's ...

AI plays a role in improving defect capture rate and distinguishing between yield-killing and nuisance defects. New developments in wafer edge inspection are proving essential to bonded wafer yields.

Machine vision helps poultry processors automate efficiently. Explore how AI-based vision systems identify defects, prevent costly mistakes, and guide automation strategy.

This lightweight, portable tool improves NDT inspections with multiple test capabilities, high-fidelity imaging, next-gen ...