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The Embedded Vision Academy is a free online training facility for embedded vision product developers. This program provides educational and other resources to help engineers integrate visual intelligence―the ability of electronic systems to see and understand their environments―into next-generation embedded and consumer devices.

The goal of the Academy is to make it possible for engineers worldwide to gain the skills needed for embedded vision product and application development. Course material in the Embedded Vision Academy spans a wide range of vision-related subjects, from basic vision algorithms to image pre-processing, image sensor interfaces, and software development techniques and tools such as OpenCV. Courses will incorporate training videos, interviews, demonstrations, downloadable code, and other developer resources―all oriented towards developing embedded vision products.

The Embedded Vision Alliance™ plans to continuously expand the curriculum of the Embedded Vision Academy, so engineers will be able to return to the site on an ongoing basis for new courses and resources. The listing below showcases the most recently published Embedded Vision Academy content. Reference the links on the right side of this page to access the full suite of embedded vision content, sorted by technology, application, function, viewer experience level, provider, and type.

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

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

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

In this webinar from NVIDIA, learn how the OpenCV embedded vision algorithm library has been accelerated using CUDA on NVIDIA GPUs.

ADAS is among the early success stories in the burgeoning embedded vision era, and its usage is rapidly expanding.

Professor Li Zhang delivers a presentation at the December 2013 Alliance Member Meeting.

Neil Trevett, President of Khronos and VP at NVIDIA, delivers a presentation at the December 2013 Embedded Vision Alliance Member Meeting.

Professor Sanjay Patel of the University of Illinois delivers a presentation at the December 2013 Embedded Vision Alliance Member Meeting.

Kalyanramu Vemishetty of National Instruments delivers a technical presentation at the October 2013 Embedded Vision Summit.

Google's Android 4.4 (KitKat) O/S shipped with some hidden Java APIs for the new Camera 3 Framework.