How to develop embedded vision applications with off-the-shelf components

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.

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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.

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

Webcast information:

How to develop embedded vision applications with off-the-shelf components
Daniel Lau, Professor of Electrical and Computer Engineering at the University of Kentucky
June 8, 2017 11:00 AM EST (Approximately 1 hour)

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