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Resources on Embedded Vision from BDTI

Access BDTI resources via the links below. Use the links to the right (Videos, Documents, and Downloads) for listings by type.

Deep learning-based vision processing is an increasingly popular and robust alternative to classical computer vision algorithms.

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Shehrzad Qureshi of BDTI delivers a Fundamentals presentation at the May 2017 Embedded Vision Summit.

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Deep learning has been enabled by, among other things, the steadily increasing processing "muscle" of CPUs aided by co-processors.

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OpenVX enables embedded vision application software developers to efficiently harness the processing resources available in SoCs and systems

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Jeff Bier of BDTI and the Embedded Vision Alliance delivers a technical presentation at the May 2015 Embedded Vision Summit.

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OpenCL enables software developers to efficiently harness diverse processing resources in embedded vision.

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Jeff Bier of BDTI delivers a technical presentation at the May 2014 Embedded Vision Summit.

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Jeff Bier of BDTI delivers a technical presentation at the May 2014 Embedded Vision Summit.

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Eric Gregori, Senior Software Engineer at BDTI, delivers a technical presentation at the September 2013 Qualcomm UPLINQ Conference.

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Eric Gregori, senior software engineer at BDTI, delivers a technical presentation at the April 2013 Embedded Vision Summit.

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