Researchers have developed a physics-based technique that accurately measures atomic-scale semiconductor defects, helping ...

Researchers have published research detailing their development of an AI framework to detect defects in additively ...

A new research review looks at how computer vision and machine learning could be used to spot defects in 3D printed concrete.

The team developed an off-axis bright- and dark-field OCT system with a custom-designed high-precision objective lens. By ...

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 ...

BMW researchers have demonstrated that camera-based inspection systems can catch manufacturing flaws in battery electrodes before those flaws ever reach a finished cell, according to a peer-reviewed ...

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 ...

The Department of Science and Technology (DOST) has unveiled new equipment capable of analyzing materials and detecting defects at the nanoscale, aimed at helping companies improve product quality and ...

TDK SensEI’s edgeRX Vision system, powered by advanced AI, accurately detects defects in components as small as 1.0×0.5 mm in real time. Operating at speeds up to 2000 parts per minute, it reduces ...

Ekoten Tekstil, a weft knit fabric manufacturer based near İzmir in Turkey, has implemented an artificial intelligence-driven ...