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

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.

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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:

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