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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.

The CogniVue SmartEBC analyzes data from a single rear-view camera to track objects and perform feature detection and distance estimation.

CogniMem’s Chris McCormick, application engineer, demonstrates how pattern recognition can bring enhanced gestures to the Microsoft Kinect.

This demonstration pairs a Freescale i.MX board and CogniMem Technologies CM1K evaluation module and shows how to use your eyes as a mouse.

Making the automotive environment safer by reducing injuries and fatalities is always a hot topic of the automotive industry.

When a driver starts a car, he doesn’t think about starting an intelligent analytics system; sometimes, that’s precisely what he’s doing.

BDTI Senior Engineers Eric Gregori and Shehrzad Qureshi deliver the techology trends presentation at the March 2012 Embedded Vision Summit.

Meeting the needs of practically any conceivable type of vision application, TI has a wide selection of processors.

Accurate skin-tone reproduction, important in conventional photography applications, is also critical in embedded vision implementations.

Analog Devices, BDTI, DARPA, Texas Instruments and Xilinx participate in a panel discussion at the March 2012 Embedded Vision Summit.

OpenCV, an open-source software component library for computer vision application development, is a powerful algorithm prototyping tool.