Page 2 - Defect Detection News Today

A machine learning algorithm developed by researchers at the University of Cambridge quickly detects and corrects 3D printing errors — even in p

2D X-Ray technology: From flexible to high-speed casting inspection in the production environment

Radiant Vision Systems, a leading provider of automated visual inspection solutions for illuminated components, announces that it will give a presentation at the 2022 Vision Spectra Conference—a free virtual conference gathering leaders in machine vision to present a range of educational sessions over three days from July 19-21, 2022.

Redmond, WA (PRWEB) June 28, 2022 -- Radiant Vision Systems, a leading provider of automated visual inspection solutions for illuminated components, announces

Radiant Vision Systems - Backlit Component Inspection Software: Brightness, Color, and Defect Detection in One

<p>AMETEK Surface Vision, the leading provider of online surface inspection solutions, has installed an automated system to check materials, improve quality and reduce customer claims at Texbond Srl.</p>

A growing number of academic and industrial research groups regard the integration of artificial intelligence-based algorithms into the 3D printing process as a promising approach to improve the quality and efficiency of 3D printing technology.

Understanding defect dynamics and evolution in HEAs is complicated due to the wide and intricate configurational space in HEAs. Machine learning techniques have significant potential in defect detection in HEAs.