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EVA180x100

Embedded Vision Insights: August 29, 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 (DNNs). 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 an upcoming […]

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“Using Satellites to Extract Insights on the Ground,” a Presentation from Orbital Insight

Boris Babenko, Senior Software Engineer at Orbital Insight, presents the "Using Satellites to Extract Insights on the Ground" tutorial at the May 2017 Embedded Vision Summit. Satellites are great for seeing the world at scale, but analyzing petabytes of images can be extremely time-consuming for humans alone. This is why machine vision is a perfect

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“Designing Vision Systems for Human Operators and Workflows: A Case Study,” a Presentation from 8tree

Arun Chhabra, CEO of 8tree, presents the "Designing Vision Systems for Human Operators and Workflows: A Case Study" tutorial at the May 2017 Embedded Vision Summit. During the past several decades, manual measurement methods – using rulers and dial gauges – have been the status quo for inspecting dents, bumps, lightning strikes and corrosion blend-out

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“How to Choose a 3D Vision Technology,” a Presentation from Carnegie Robotics

Chris Osterwood, Chief Technical Officer at Carnegie Robotics, presents the "How to Choose a 3D Vision Technology" tutorial at the May 2017 Embedded Vision Summit. Designers of autonomous vehicles, robots, and many other systems are faced with a critical challenge: Which 3D perception technology to use? There are a wide variety of sensors on the

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BrainChip Studio Awarded New Product of the Year for Video Analytics by Security Today’s Panel of Independent Judges

AI-powered software is easily deployed in existing infrastructure, where it rapidly searches archived video or live streams to identify objects or faces Aliso Viejo, California – August 22, 2017, BrainChip Holdings Ltd. (ASX: BRN) ("BrainChip" or "the Company"), a leading developer of software and hardware accelerated solutions for advanced artificial intelligence (AI) and machine learning applications,

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“Ultra-Efficient VPU: Low-power Deep Learning, Computer Vision and Computational Photography,” A Presentation from FotoNation

Petronel Bigioi, General Manager at FotoNation, presents the "Ultra-Efficient VPU: Low-power Deep Learning, Computer Vision and Computational Photography" tutorial at the May 2017 Embedded Vision Summit. This talk focuses on bringing intelligence to the edge to enable local devices to see and hear. It explores the power-consumption-vs.-flexibility dilemma by examining hard-coded and programmable architectures. It

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“Automakers at a Crossroads: How Embedded Vision and Autonomy Will Reshape the Industry,” a Presentation from Lux Research

Mark Bünger, VP of Research at Lux Research, presents the "Automakers at a Crossroads: How Embedded Vision and Autonomy Will Reshape the Industry" tutorial at the May 2017 Embedded Vision Summit. The auto and telecom industries have been dreaming of connected cars for twenty years, but their results have been mediocre and mixed. Now, just

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EVA180x100

Embedded Vision Insights: August 18, 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 an upcoming full-day,

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The Evolution of Deep Learning for ADAS Applications

This technical article was originally published at Synopsys' website. It is reprinted here with the permission of Synopsys. Embedded vision solutions will be a key enabler for making automobiles fully autonomous. Giving an automobile a set of eyes – in the form of multiple cameras and image sensors – is a first step, but it

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“Introduction to Optics for Embedded Vision,” a Presentation from Edmund Optics

Jessica Gehlhar, Vision Solutions Engineer at Edmund Optics, presents the “Introduction to Optics for Embedded Vision” tutorial at the May 2017 Embedded Vision Summit. This talk provides an introduction to optics for embedded vision system and algorithm developers. Gehlhar begins by presenting fundamental imaging lens specifications and quality metrics. She explains key parameters and concepts

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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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