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 ...

Aluminum is widely used in many fields, such as infrastructure, transportation, aerospace, and industrial manufacturing 1. In the industrial aluminum production process, aluminum surface defects will ...

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 ...

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

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.

Atomic defects can tune carbon quantum dots across UV to near-infrared light, guiding cleaner design of sensors, bioimaging ...

Machine vision helps poultry processors automate efficiently. Explore how AI-based vision systems identify defects, prevent costly mistakes, and guide automation strategy.