Moshe Shahar, Director of System Architecture at CEVA, presents the "Evolution of Object Recognition in Embedded Systems" tutorial at the May 2015 Embedded Vision Summit.

Camera-enabled devices have made great strides in performance and quality in recent years, but they still fall far short of human visual perception. To reach their potential, vision-enabled systems must perform more intelligent scene analysis, including more robust object recognition.

In this presentation, Moshe explores how techniques for object recognition have evolved, with particular emphasis on algorithms and implementation techniques that enable robust recognition in power- and cost-constrained devices.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.



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