This website requires certain cookies to work and uses other cookies to help you have the best experience. By visiting this website, certain cookies have already been set, which you may delete and block. By closing this message or continuing to use our site, you agree to the use of cookies. Visit our updated privacy and cookie policy to learn more.
This Website Uses Cookies By closing this message or continuing to use our site, you agree to our cookie policy. Learn MoreThis website requires certain cookies to work and uses other cookies to help you have the best experience. By visiting this website, certain cookies have already been set, which you may delete and block. By closing this message or continuing to use our site, you agree to the use of cookies. Visit our updated privacy and cookie policy to learn more.
Free Webinar Covers Machine Vision for Automotive Assembly
November 27, 2012
ANN ARBOR, MI—The Automated Imaging Association is presenting a free webinar Dec. 18 that will discuss machine vision applications for automotive assembly. The webinar will air from 11 a.m. to noon EST. MORE
On Demand When used in the appropriate applications, deep learning software is a powerful tool that can efficiently and reliably handle automated inspection tasks.
In this webinar, David L. Dechow, Vice President of Outreach and Vision Technology at Landing AI, highlights scenarios and provides guidance on choosing the applications for which deep learning technology offers the most significant value.Sponsored by:
On Demand Automated assembly applications have consistently demanded higher precision from robots and other mechanical devices, and higher resolution from sensors to position those mechanical devices. Humatics has developed a patented radio frequency-based technology, called Microlocation, that creates highly-precise real-time location data for high-value objects to enable three dimensional control and visibility, even in highly unstructured environments, enabling a wide range of process improvements including cycle time, quality and human/robot efficiencies.Sponsored by: