Processors

“A New Generation Vision Camera for Embedded Systems,” a Presentation from Allied Vision

Allied Vision, Industrial Vision (Computer Vision), Processors, Sensors and Cameras, Videos /

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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“1,000X in Three Years: How Embedded Vision is Transitioning from Exotic to Everyday,” a Presentation from the Embedded Vision Alliance

Algorithms, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Tools, Videos /

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

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“Video Cameras Without Video: Opportunities For Sensing With Embedded Vision,” a Presentation from Michael Tusch

Algorithms, Edge AI and Vision Alliance, Face Detection, Object Identification, Object Tracking, Processors, Security, Sensors and Cameras, Software, Tools, Videos /

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

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“Computer Vision on ARM: The Spirit Object Detection Accelerator,” a Presentation from ARM

Algorithms, Arm, Face Detection, Face Recognition, Object Identification, Object Tracking, Processors, Software, Tools, Videos /

Tim Hartley, Senior Product Manager in the Imaging and Vision Group at ARM, presents the "Computer Vision on ARM: The Spirit Object Detection Accelerator" tutorial at the May 2017 Embedded Vision Summit. In 2016, ARM released Spirit, a dedicated object detection accelerator, bringing industry-leading levels of power- and area-efficiency to computer vision workflows. In this

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“Making OpenCV Code Run Fast,” a Presentation from Intel

Algorithms, Intel, Processors, Software, Tools, Videos /

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

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“The Battle Between Traditional Algorithms and Deep Learning: The 3 Year Horizon,” a Presentation from Intel’s Movidius Group

Algorithms, Intel, Processors, Sensors and Cameras, Software, Tools, Videos /

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

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“How to Start an Embedded Vision Company,” a Presentation from Cognite Ventures

Algorithms, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Tools, Videos /

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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May 2017 Embedded Vision Summit Slides

Aerospace and Defense, Algorithms, Augmented Reality, Automotive, Biometrics, Downloads, Edge AI and Vision Alliance, Emotion Discernment, Entertainment, Face Detection, Face Recognition, Gesture Control, Industrial Vision (Computer Vision), Information Access and Analytics, Medical, Object Identification, Object Tracking, Optical Character Recognition, Processors, Retail, Robotics, Security, Sensors and Cameras, Software, Tools /

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

Algorithms, Articles, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Technical Articles, Tools /

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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“Memory Innovation for Embedded Vision Systems,” a Presentation from Samsung Electronics

Edge AI and Vision Alliance, Processors, Videos /

Jin Kim of Samsung Electronics delivers the presentation "Memory Innovation for Embedded Vision Systems" at the February 2017 Embedded Vision Alliance Member Meeting. Kim explains the memory needs of embedded vision applications, and the latest solutions available to meet those needs.

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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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