Jitendra Malik, Arthur J. Chick Professor and Chair of the Department of Electrical Engineering and Computer Science at the University of California, Berkeley, presents the "Deep Visual Understanding from Deep Learning" tutorial at the May 2017 Embedded Vision Summit. Deep learning and neural networks coupled with high-performance computing have led to remarkable advances in computer […]
Michael Melle, Sales Development Manager at Allied Vision, and Felix Nikolaus, Firmware Designer at Allied Vision, presents the "A Multi-purpose Vision Processor for Embedded Systems" tutorial at the May 2017 Embedded Vision Summit. This presentation gives an overview of an innovative vision processor that delivers the superior image quality of industrial cameras while enabling the
Paul Maria Zalewski, Product Line Manager at Allied Vision, presents the "A New Generation Vision Camera for Embedded Systems" tutorial at the May 2017 Embedded Vision Summit. This presentation gives an overview of a new innovative embedded camera with a unique vision processor and integrated image processing capabilities. The combination offers new perspectives in the
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Jeff Bier, Founder of the Embedded Vision Alliance and Co-founder and President of BDTI, presents the "1000X in Three Years: How Embedded Vision is Transitioning from Exotic to Everyday" tutorial at the May 2017 Embedded Vision Summit. Just a few years ago, it was inconceivable that everyday devices would incorporate visual intelligence. Now it’s clear
Michael Tusch presents the "Video Cameras Without Video: Opportunities For Sensing With Embedded Vision" tutorial at the May 2017 Embedded Vision Summit. Within the next few years, network cameras will cease to be regarded primarily as image capture devices. They will instead transform into intelligent data capture nodes whose functionality will in many, but not
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
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
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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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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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Arun Chhabra of 8tree delivers the presentation "Designing Vision Systems for Human Operators and Workflows" at the February 2017 Embedded Vision Alliance Member Meeting. Chhabra explains how his company is deploying computer vision to enhance existing workflows in industries such as aircraft maintenance.
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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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