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

Machine vision for defect detection and recognition has evolved from classical image‐processing workflows—such as thresholding, edge detection and template matching—to sophisticated deep learning ...

The newly released line scan 3D AXI delivers up to a 20% performance improvement compared to the award-winning TR7600 SIII ...

Automated surface defect detection has emerged as a vital component in quality assurance across industries that rely on flawless material surfaces, from high-precision aerospace alloys to ...

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 ...

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

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 ...

Whether the discussion is about smart manufacturing or digital transformation, one of the biggest conversations in the semiconductor industry today centers on the tremendous amount of data fabs ...

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

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 ...

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 ...