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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.

Rapidly emerging embedded vision applications require ability to do realtime processing of one or more HD video streams at high frame rates.

It's becoming practical to incorporate computer vision into embedded systems, enabling them to analyze their environments via video inputs.

Converting images from one color domain to another is a common and often misunderstood operation in embedded vision processing.

Embedded vision is the evolution and extrapolation of computer-based vision systems that process and interpret meaning from images.

José Alvarez, Video Technology Engineering Director at Xilinx, introduces the basic steps in the development of embedded vision systems.

Brian Dipert, Editor-In-Chief of the Embedded Vision Alliance, interviews Gene Frantz, Texas Instruments Principal Fellow (part one).

Brian Dipert, Editor-In-Chief of the Embedded Vision Alliance, interviews Gene Frantz, Texas Instruments Principal Fellow (part two).

Embedded processors are opening many doors for developers to design highly sophisticated solutions for different end applications.

What innovation can alert users to a child struggling in a swimming pool, or an intruder attempting to enter a residence or business?

Gesture recognition is the first step to full 3D interaction. Challenges exist, as do and techniques to overcome them in embedded systems.