By Gaurav Agarwal, Frank Brill, Bruce Flinchbaugh, Branislav Kisacanin, Mukesh Kumar, and Jacek Stachurski Texas Instruments This is a reprint of a Texas Instruments-published white paper, which is also available here (2.1 MB PDF). Overview When a driver starts a car, he doesn’t think about starting an intelligent analytics system; sometimes, that’s precisely what he’s […]
“Get Smart” With TI’s Embedded Analytics Technology Read More +
By Paula Carrillo, Akira Osamoto, and Adithya K. Banninthaya Texas Instruments Accurate skin-tone reproduction is important in conventional still and video photography applications, but it's also critical in some embedded vision implementations; for accurate facial detection and recognition, for example. And intermediary lossy compression between the camera and processing circuitry is common in configurations that
Improve Perceptual Video Quality: Skin-Tone Macroblock Detection Read More +
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,
March 2012 Embedded Vision Alliance Summit Panel Discussion Read More +
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
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… Start Developing OpenCV Applications Immediately
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
March 2012 Embedded Vision Alliance Summit Keynote: Jim Donlon, DARPA Read More +
By Michael Tusch Founder and CEO Apical Limited At the late-March 2012 Embedded Vision Alliance Summit, Eric Gregori and Shehrzad Qureshi from BDTI presented a helpful overview of CCD and CMOS image sensor technology. I thought it might be interesting to extend this topic to cover so-called HDR (High Dynamic Range) / WDR (Wide Dynamic
HDR Sensors for Embedded Vision Read More +
By Dong-Ik Ko (Lead Engineer, Gesture Recognition and Depth-Sensing) and Gaurav Agarwal (Manager, Gesture Recognition and Depth-Sensing) Texas Instruments This is a reprint of a Texas Instruments-published white paper, which is also available here (2.6 MB PDF). Introduction Over the past few years, gesture recognition has made its debut in entertainment and gaming markets. Now,
Gesture Recognition: Enabling Natural Interactions With Electronics Read More +
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
HD Video Processing using Xilinx’s Zynq-7000 EPP for Intelligent Video Systems Read More +
Converting images from one color domain to another is a common and often misunderstood operation in embedded vision processing. Image formats and color spaces vary when information is interchanged among processing domains. FPGAs provide a flexible, fast and scalable way of converting images using readily available IP cores. This video tutorial from José Alvarez, Video
Image Color Conversion and Formatting Using FPGAs Read More +
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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