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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 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.

April 15, 2014

Fast, low power processors and high resolution, high frame rate image sensors, along with powerful software, bring AR to the masses.

April 05, 2014

Neil Trevett of Khronos delivers a presentation at the March 2014 Embedded Vision Alliance Member Meeting.

March 24, 2014

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

March 21, 2014

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

March 20, 2014

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

March 19, 2014

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

January 29, 2014

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

January 22, 2014

Professor Li Zhang of the University of Wisconsin delivers a presentation at the December 2013 Embedded Vision Alliance Member Meeting.

January 21, 2014

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

January 20, 2014

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