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Welcome

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.

Michael Mangan of Qualcomm Technologies delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.

Ali Osman Ors of NXP Semiconductors delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.

Rafal Malewski of NXP and Sébastien Taylor of Au-Zone deliver a Technical Insights presentation at the May 2017 Embedded Vision Summit.

Alexey Rybakov of Luxoft delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.

Paul Brasnett of Imagination Technologies delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.

Minje Park of Intel delivers a Technical Insights presentation at the May 2017 Embedded Vision Summit.

Pete Warden of Google delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.

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

Always Innovating, Imagry, Lucid VR, Machines With Vision, and PerceptIn participate in the May 2017 Embedded Vision Summit Vision Tank.

Nick Ni of Xilinx delivers an Enabling Technologies presentation at the May 2017 Embedded Vision Summit.