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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.

Jeff Bier, Founder of the Embedded Vision Alliance, delivers the opening presentation at the September 2012 Embedded Vision Summit.

Gary Bradski, President and CEO of the OpenCV Foundation, delivers the afternoon keynote at the September 2012 Embedded Vision Summit.

Professor Rosalind Picard of the the MIT Media Laboratory delivers the morning keynote at the September 2012 Embedded Vision Summit.

The Embedded Vision Summit was held on September 19, 2012 in Boston, Massachusetts, as a technical educational forum for engineers.

In any review of image sensor technology, it's often important to discuss so-called HDR (High Dynamic Range) or WDR (Wide DR) sensors.

The transition from elementary image capture to image analysis, interpretation and response requires more capable image sensor subsystems.

BDTI Senior Engineer Shehrzad Qureshi delivers the technology trends presentation at the July 2012 Embedded Vision Alliance Member Meeting.

With the emergence of capable processors and image sensors, it’s practical to incorporate computer vision into a range of embedded systems.

Gary Bradski, President and CEO of the OpenCV Foundation, delivers the keynote at the July 2012 Embedded Vision Alliance Member Meeting.

"Embedded vision" refers to the use of computer vision technology in embedded systems, i.e. systems that extract meaning from visual inputs.