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 +
Vadim Pisarevsky, Software Engineering Manager at Intel, presents the "Making OpenCV Code Run Fast" tutorial at the May 2017 Embedded Vision Summit. OpenCV is the de facto standard framework for computer vision developers, with a 16+ year history, approximately one million lines of code, thousands of algorithms and tens of thousands of unit tests. While
“Making OpenCV Code Run Fast,” a Presentation from Intel Read More +
Cormac Brick, Director of Machine Intelligence for Intel's Movidius Group, presents the "The Battle Between Traditional Algorithms and Deep Learning: The 3 Year Horizon" tutorial at the May 2017 Embedded Vision Summit. Deep learning techniques are gaining in popularity for many vision tasks. Will they soon dominate every facet of embedded vision? Cormac Brick from
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 +
Chris Rowen, CEO of Cognite Ventures, presents the "How to Start an Embedded Vision Company" tutorial at the May 2017 Embedded Vision Summit. This talk outlines the essential opportunity and daunting challenges of building significant new companies based on deep learning technology, specifically in vision systems. It draws on presenter Chris Rowen's long experience as
“How to Start an Embedded Vision Company,” a Presentation from Cognite Ventures Read More +
This technical article was originally published at Basler's website. It is reprinted here with the permission of Basler. A status report with a focus on deep learning and Convolutional Neural Networks (CNNs) What are neural networks and why are they such a topic of interest for industrial image processing? They eliminate the need for developers
Are Neural Networks the Future of Machine Vision? 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 +
EMBEDDED VISION SUMMIT SPECIAL EDITION Dear Colleague, The Embedded Vision Summit is less than a week away! It’s coming up on May 1-3 in Santa Clara, California. We urge you to register now before it’s too late! The Summit is the event for innovators who want to bring visual intelligence into their products, and we're
Embedded Vision Insights: April 25, 2017 Edition 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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