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Embedded Vision Insights: May 23, 2017 Edition

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 […]

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Avnet Demonstration of Sensor Fusion Acceleration Using the Xilinx reVISION Stack

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

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Xilinx Demonstration of the reVISION Software Stack

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,

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May 2017 Embedded Vision Summit Replay

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

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Embedded Vision Insights: May 11, 2017 Edition

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

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May 2017 Embedded Vision Summit Slides

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

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The Internet of Things That See: Opportunities, Techniques and Challenges

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

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XIMEA Cameras With Sony IMX255 and IMX253 Sensors are Now Available

XIMEA, the innovator of small size and high speed cameras, has released more models with Sony CMOS Pregius™ sensors and USB3 Vision. MUNSTER, Germany – 2017-03-20 – It started with models based on IMX174, IMX252 and IMX250, and now XIMEA has made accessible to the general public the first units with Sony CMOS IMX255 sensor

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Xilinx Expands into Wide Range of Vision-Guided Machine Learning Applications with reVISION

Enables Machine Learning from the Edge to the Cloud NUREMBERG, Germany, March 13, 2017 /PRNewswire/ — At Embedded World, Xilinx, Inc. (NASDAQ:XLNX) today announced expansion into a wide range of vision guided machine learning applications with the Xilinx® reVISION™ stack. This announcement complements the recent Reconfigurable Acceleration Stack, significantly broadening the deployment of machine learning

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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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