Deep learning has revolutionised surface defect detection by enabling automated, high-precision inspection across diverse industrial settings. Convolutional neural networks (CNNs) form the backbone of ...

WALTHAM, Mass.--(BUSINESS WIRE)--GelSight, a pioneer in tactile intelligence technology, today announced the release of its GelSight Mobile™ 3.5 software package, with new automated functionality and ...

Researchers have designed a robust image-based anomaly detection (AD) framework with illumination enhancement and noise suppression features that can enhance the detection of subtle defects in ...

Onto has received multiple orders in support of high bandwidth memory (HBM), advanced logic and a variety of specialty segments Now, Onto Innovation is offering the capability to detect these yield ...

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 ...

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 ...

Defects in angioplasty balloon material, which result in product discards, may represent a significant portion of production. Abbas Tcharkhtchi and Erik Andersen Angioplasty balloons are critical ...

Detecting sub-5nm defects creates huge challenges for chipmakers, challenges that have a direct impact on yield, reliability, and profitability. In addition to being smaller and harder to detect, ...