Provides non-destructive 3D analysis of the location, morphology, and depth profile of internal defects in glass substrates; ...

Materials scientists at Rice University have developed a new workflow methodology for measuring microscopic defects in diamond and other advanced semiconductor materials. By making it easier to spot ...

Roboflow's workflow combines real and synthetic training data to develop defect detection models for manufacturing applications (Image: Roboflow) Roboflow integrates Nvidia simulation tools to train m ...

Artificial intelligence (AI) is able to detect foreign materials and other defects in food products faster and with more ...

A study published in Molecules and led by researchers from the Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP) of the Chinese Academy of Sciences demonstrated how deep learning can ...

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 ...

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 ...

How digital train inspection portals produce substantial safety benefits. At 10 locations across Norfolk Southern’s network ...

Improving Wind Farm Reliability with AI-Driven Drone Inspections Wind power's growth has been hard to miss lately it's one of the fastest-expanding renewable sources out there, giving utilities and ...