Materials scientists at Rice University have developed a new workflow methodology for measuring microscopic defects in ...

To address the challenges of limited detection accuracy for small targets in complex backgrounds and the difficulty in model deployment due to a large number of parameters in steel surface defect ...

A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.

Detecting defects on photovoltaic panels using electroluminescence images can significantly enhance the production quality of these panels. Nonetheless, in the process of defect detection, there often ...

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 ...

Ford tackles record recalls by pairing veteran engineers with defect-detection AI, driving a big JD Power quality jump.

Spread the love“`html In any product-driven industry, dealing with product defects is a given. No matter how stringent the quality checks or how dedicated the design team, issues can arise during ...

WEST LAFAYETTE, Ind. — A defect in a semiconductor chip may be smaller than a human hair but can create big problems in your everyday life, from crippling your car’s steering to making your laptop ...