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Using an Embedded Vision Processor to Build an Efficient Object Recognition System

Authored on: May 8, 2015 by James Campbell, Valeriy Kazantsev

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The advent of high-performance mobile computing platforms is driving rapid progress in computer vision capabilities. Machine vision is becoming embedded in highly integrated SoCs and expanding into emerging high-volume consumer applications such as home surveillance, games, and automotive safety. A major challenge in enabling mass adoption of embedded vision applications is providing the processing capability at a power and cost point low enough for mobile consumer applications, while maintaining sufficient flexibility to cater to rapidly evolving markets. This paper covers the challenges of efficiently implementing an embedded vision system, explores an object detection application example and discusses the DesignWare Embedded Vision Processor Family.

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