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 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.
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May 17, 2012 BDTI Senior Engineers Eric Gregori and Shehrzad Qureshi deliver a techology trends presentation on image sensors for embedded vision applications, at the late-March 2012 Embedded Vision Alliance Summit. Eric and Shehrzad discuss trends regarding conventional 2-D image sensors, as well as those supporting "3-D" (depth discernment) and "4-D" (i.e. selective focus, otherwise known as light field or plenoptic) functions. |
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May 10, 2012 By Mukesh Kumar |
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May 01, 2012 By Paula Carrillo, Akira Osamoto, and Adithya K. Banninthaya |
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April 29, 2012 Jeff Bier, Founder of the Embedded Vision Alliance, moderates the panel discussion "Beyond Kinect; From Research to Revenue," at the March 2012 Embedded Vision Summit. Also participating are Jim Donlon (Project Manager, DARPA), Bruce Kleinman (Corporate Vice President, Platform Marketing, Xilinx), Bruce Flinchbaugh IFellow and Manager of Vision R&D, Texas Instruments) and Colin Duggan (Director of Marketing, Analog Devices). The panelists discussed a broad range of topics dealing with embedded vision's evolution, current status, and potential future. |
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April 25, 2012 OpenCV is an open-source software component library for computer vision application development. OpenCV is a powerful tool for prototyping embedded vision algorithms. Originally released in 2000, it has been downloaded over 3.5 million times. The OpenCV library supports over 2,500 functions and contains dozens of valuable vision application examples. The library supports C, C++, and Python and has been ported to Windows, Linux, Android, MAC OS X and iOS. |
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April 25, 2012 OpenCV is an open-source software component library for computer vision application development. OpenCV is a powerful tool for prototyping embedded vision algorithms. Originally released in 2000, it has been downloaded over 3.5 million times. The OpenCV library supports over 2,500 functions and contains dozens of valuable vision application examples. The library supports C, C++, and Python and has been ported to Windows, Linux, Android, MAC OS X and iOS. The most difficult part of using OpenCV is building the library and configuring the tools. The OpenCV development team has made great strides in simplifying the OpenCV build process, but it can still be time consuming. To make it as easy as possible to start using OpenCV, BDTI has created the Quick-Start OpenCV Kit, a VMware image that includes OpenCV and all required tools preinstalled, configured, and built. This makes it easy to quickly get OpenCV running and to start developing vision algorithms using OpenCV. |
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April 20, 2012 By Sateesh Reddy Jonnalagada and Vamsi Krishna |
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April 19, 2012 Jim Donlon, Program Manager for DARPA (the U.S. Defense Advanced Research Projects Agency) describes the objectives, to-date history, current status and future plans of the Mind's Eye program. Mind's Eye "seeks to develop the capability for visual intelligence by automating the ability to learn generally applicable and generative representations of action between objects in a scene directly from visual inputs, and then reason over those learned representations. |
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April 13, 2012 By Dong-Ik Ko (Lead Engineer, Gesture Recognition and Depth-Sensing) and Gaurav Agarwal (Manager, Gesture Recognition and Depth-Sensing) |
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March 23, 2012 Rapidly emerging applications in the area of embedded vision require ability to do real-time processing of one or more streams of HD video at high frame rates. In this demonstration, Xilinx's Navanee Sundaramoorthy, Product Manager for Processing Platforms, shows how you can use the Zynq-7000 Extensible Processing Platform with dual ARM Cortex-A9 processors and programmable logic for such applications. The programmable logic in the Zynq Z7020 brings 1080p60 video in and out of the device, as well as doing high data rate video processing. |
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