June 06, 2017

Machine Vision Technology

MSE’s Prof. Elizabeth Holm has developed machine vision technology that can autonomously identify and sort metal 3-D printing powder types better than humans. This cutting-edge system will enable 3-D printing machine users to accurately test and qualify printed metal parts for any number of applications including aerospace and medical devices. read more

This information also appears:

TechXplore: https://techxplore.com/news/2017-06-machine-vision-d.html

3ders: http://www.3ders.org/articles/20170607-carnegie-mellon-engineers-sort-metal-3d-printing-powders-with-95-accuracy-using-new-machine-vision-tech.html

Econotimes: http://www.econotimes.com/New-Technology-Makes-3D-Printing-More-Efficient-And-95-More-Precise-742347

3D Printing Industry: https://3dprintingindustry.com/news/carnegie-mellon-develops-machine-vision-autonomous-system-metal-3d-printing-115417/