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

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

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

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 ...

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 ...

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 ...

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 ...

Taiwan-based manufacturer of AI fabric inspection machines shows end-to-end fabric defect detection and data integration from inspection through spreading to cutting NEW TAIPEI CITY, April 30, 2026 ...

As the technology improves, cybersecurity concerns multiply and the need for sophisticated data integration ramps up.