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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.

This chapter describes how to use the SDK and test the performance of optimizations.

This chapter describes the requirements to run the SDK and the example test platform which generates the results that this guide shows.

This chapter describes the conclusions from the example optimization process.

Differences between images intended for human viewing and for computer analysis factor into vision camera hardware and software design.

This chapter describes an example optimization process for creating image pyramids.

This chapter describes an initial, unoptimized implementation of pyramid.

This chapter describes the theory of image pyramid creation.

This chapter introduces OpenCL, pyramid, and the suitability of pyramid for GPU compute.

Jeff Bier, Founder of the Embedded Vision Alliance, delivers a presentation on January 25, 2017 in partnership with Vision Systems Design.

Professor Jeff Bilmes of the University of Washington delivers a presentation at the December 2016 Embedded Vision Alliance Member Meeting.