AI-driven vision technology is revolutionizing injection molding quality control by detecting complex defects that ...

Fishplates (joint bars in the United States) are critical track components that are highly susceptible to fatigue cracking.

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 ...

Explore how Phase3D's Fringe Inspection platform enhances ceramic matrix composites for aerospace and defense applications.

New research explores digital fringe projection as a way to find and correct additive manufacturing defects during a build.

Manual truck inspections leave fleets vulnerable to costly roadside failures. Discover how AI transforms DVIR data into ...

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 ...

Defect inspection scientists from Huazhong University of Science and Technology, Harbin Institute of Technology and The Chinese University of Hong Kong make a thorough review of new perspectives and ...

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 ...