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
By Sateesh Reddy Jonnalagada and Vamsi Krishna Xilinx Corporation Embedded vision applications deal with a lot of data; a single 1080p60 (1920×1080 pixel per frame, 60 frames per second) 24-bit color video stream requires nearly 3 Gbps of bandwidth, and 8-bit alpha (transparency) or 3-D depth data further amplifies the payload by 33% in each
Designing High-Performance Video Systems in 7 Series FPGAs with the AXI Interconnect Read More +
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 +
If you're not into videoconferencing but you're into gaming, researchers have come up with a clever alternative use for your smartphone's front-mounted camera. A rubberized accessory device mounted ahead of it, containing a patterned grid and able to let in sufficient light even with your finger on top of it, transforms the image sensor into
The Analog Joystick: An Image Sensor-Plus-Accessory Combo Creates One That’s Slick 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 +
By Jeff Bier Founder Embedded Vision Alliance Co-Founder and President BDTI This article was originally published on Altera's Technology Center. It is reprinted here with the permission of Altera. With the emergence of increasingly capable processors, image sensors, memories and other semiconductor devices, along with associated algorithms, it's becoming practical to incorporate computer vision capabilities
Processing Options For Implementing Vision Capabilities in Embedded 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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