Although incorporating visual intelligence in your next product is an increasingly beneficial (not to mention practically feasible) decision, how to best implement this intelligence is less obvious. Image processing can optionally take place completely within the edge device, in a network-connected cloud server, or subdivided among these locations. And at the edge, centralized and distributed […]
LETTER FROM THE EDITOR Dear Colleague, If you're creating algorithms and software that enable systems to see and understand the world around them and want to quickly come up to speed on using the popular TensorFlow framework, don't miss our full-day, hands-on training class next month: Deep Learning for Computer Vision with TensorFlow. It takes
Embedded Vision Insights: June 8, 2017 Edition Read More +
Thank you for attending the June 14, 2017 webinar "Develop Smart Computer Vision Solutions Faster," presented by Intel and organized by the Embedded Vision Alliance! For more information on Intel, please visit http://www.intel.com. You'll particularly find the following links to be of interest: Intel Computer Vision SDK Intel Media SDK Intel Media Server Studio Intel
June 14, 2017 Webinar Read More +
LETTER FROM THE EDITOR Dear Colleague, TensorFlow has become a popular framework for creating machine learning-based computer vision applications, especially for the development of deep neural networks. If you’re planning to develop computer vision applications using deep learning and want to understand how to use TensorFlow to do it, then don’t miss the Embedded Vision
Embedded Vision Insights: May 23, 2017 Edition Read More +
Mario Bergeron, Technical Marketing Engineer at Avnet, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Bergeron explains how the Xilinx reVISION stack was used to target a sensor fusion algorithm on the Avnet PicoZed Embedded Vision Kit. Written entirely in C/C++, the image fusion algorithm was
Avnet Demonstration of Sensor Fusion Acceleration Using the Xilinx reVISION Stack Read More +
Nick Ni, Senior Product Marketing Manager for Embedded Vision and SDSoC at Xilinx , demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Ni uses a multi-sensor demonstration to explain the company's reVISION stack, a software flow designed to allow users to develop using C/C++ and OpenCL,
Xilinx Demonstration of the reVISION Software Stack Read More +
Conference Presentation Slides 2017 Embedded Vision Summit Slides (214 MB—click to download.) Conference Overview Presentations Welcome Remarks and Conference Overview (Day 1) Jeff Bier, Embedded Vision Alliance Welcome Remarks and Conference Overview (Day 2) Jeff Bier, Embedded Vision Alliance Keynote Presentation "Deep Visual Understanding from Deep Learning" Professor Jitendra Malik, University of California, Berkeley Business
May 2017 Embedded Vision Summit Replay Read More +
LETTER FROM THE EDITOR Dear Colleague, This year's Embedded Vision Summit, which took place last week, was the best yet; more than 1,000 attendees, more than 90 speakers across five presentation tracks, and more than 50 exhibitors demonstrating more than 100 vision technologies and products. A downloadable slide set of the presentations from the Summit
Embedded Vision Insights: May 11, 2017 Edition Read More +
The Embedded Vision Summit was held on May 1-3, 2017 in Santa Clara, California, as a educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations delivered at the Summit are listed below. All of the slides from these presentations are included in… May 2017 Embedded Vision Summit
May 2017 Embedded Vision Summit Slides Read More +
This article was originally published at the 2017 Embedded World Conference. With the emergence of increasingly capable processors, image sensors, and algorithms, it's becoming practical to incorporate computer vision capabilities into a wide range of systems, enabling them to analyze their environments via video inputs. This article explores the opportunity for embedded vision, compares various
The Internet of Things That See: Opportunities, Techniques and Challenges 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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