Gary Bradski presents the afternoon keynote at the September 2012 Embedded Vision Summit. Bradski is President and CEO of the OpenCV Foundation and Founder and Chief Technical Officer of Industrial Perception Inc. The "father of OpenCV" (the Open Source Computer Vision Library), Bradski has been the director of its development for more than 14 years, stretching back to his time at Intel. Bradski is also the author of "Learning OpenCV: Computer Vision with the OpenCV Library", published by O'Reilly.

This demonstration, which pairs a Freescale i.MX Quick Start board and CogniMem Technologies CM1K evaluation module, showcases how to use your eyes (specifically where you are looking at any particular point in time) as a mouse. Translating where a customer is looking to actions on a screen, and using gaze tracking to electronically control objects being showcased behind a transparent display such as Samsung’s, can result in a wide range of new applications for gamers, consumers, digital displays, and shop owners alike.

Jeff Bier, Founder of the Embedded Vision Alliance and co-founder and president of BDTI, 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 (Fellow and Manager of Vision R&D, Texas Instruments) and Colin Duggan (Director of Marketing, Analog Devices).

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.