How to build an embedded vision system with off-the-shelf components

June 13, 2017
n a free webcast from June 8, Daniel Lau, Professor of Electrical and Computer Engineering at the University of Kentucky described the building of embedded vision applications with off-the-shelf computer-on-modules, as well as the process and the additional components that are needed. He also discussed the design challenges, the benefits of embedded vision, and some of the new and emerging applications that these systems can be deployed in.

Now more than ever, embedded vision is a buzzword and a hot topic within the community. Within the machine vision market, embedded vision may refer to the use of embedded PCs or embedded computers. Outside of the factory, however, people are using commercial off-the-shelf components to build embedded vision systems in applications related to the Internet of Things.

In a free webcast from June 8, Daniel Lau, Professor of Electrical and Computer Engineering at the University of Kentucky described the building of embedded vision applications with off-the-shelf computer-on-modules, as well as the process and the additional components that are needed. He also discussed the design challenges, the benefits of embedded vision, and some of the new and emerging applications that these systems can be deployed in.

Check out the full presentation here:

About the Author

James Carroll

Former VSD Editor James Carroll joined the team 2013.  Carroll covered machine vision and imaging from numerous angles, including application stories, industry news, market updates, and new products. In addition to writing and editing articles, Carroll managed the Innovators Awards program and webcasts.

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