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“Demystifying Deep Neural Networks,” a Presentation from BDTI

Shehrzad Qureshi, Senior Engineer at BDTI, presents the "Demystifying Deep Neural Networks" tutorial at the May 2017 Embedded Vision Summit. What are deep neural networks, and how do they work? In this talk, Qureshi provides an introduction to deep convolutional neural networks (CNNs), which have recently demonstrated impressive success on a wide range of vision […]

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

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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Accelerating AI Experiences from Edge to Cloud

First processors based on ARM DynamIQ technology take a big step towards boosting AI performance by more than 50x over the next 3-5 years ARM Cortex-A75 delivers massive single-thread compute uplift for premium performance points ARM Cortex-A55 is the world’s most versatile high-efficiency processor ARM Mali-G72 GPU expands VR, gaming and Machine Learning capabilities on premium

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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

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

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

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

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

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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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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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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