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NVIDIA

Drones are a rapidly growing market for both consumer and commercial applications, and they increasingly leverage embedded vision technology

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Elif Albuz of NVIDIA delivers an enabling technologies presentation at the May 2016 Embedded Vision Summit.

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Orazio Gallo of NVIDIA delivers a technical presentation at the May 2016 Embedded Vision Summit.

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

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Elif Albuz of NVIDIA delivers a presentation at the December 2014 Embedded Vision Alliance Member Meeting.

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Machine Learning (ML) has its origins in the field of artificial intelligence, and has now become a pervasive technology, says NVIDIA.

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Today, virtually every tablet and smartphone is capable of sophisticated vision functions, used to enable new types of applications.

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OpenCV for Tegra is an optimized port of the OpenCV library. It runs on Android and has ~2500 image processing and computer vision functions

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Computer vision capabilities on embedded platforms are available to ADAS developers, including CUDA-based OpenCV and the OpenVX vision API.

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NVIDIA and Itseez have optimized many OpenCV functions using CUDA on NVIDIA GPUs. These functions are 5-100x faster than CPU counterparts.

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