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“Designing and Implementing Camera ISP Algorithms Using Deep Learning and Computer Vision,” a Presentation from Motorola

Val Marchevsky, Senior Director of Engineering at Motorola, presents the "Designing and Implementing Camera ISP Algorithms Using Deep Learning and Computer Vision" tutorial at the May 2017 Embedded Vision Summit. Once we began to rely on our phone cameras as the primary means of sharing memories, emotions and important events in our lives, the quality […]

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Stereo Vision: Facing the Challenges and Seeing the Opportunities for ADAS Applications

This technical article was originally published on Texas Instruments' website (PDF). It is reprinted here with the permission of Texas Instruments. Introduction Cameras are the most precise mechanisms used to capture accurate data at high resolution. Like human eyes, cameras capture the resolution, minutiae and vividness of a scene with such beautiful detail that no

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Embedded Vision Insights: November 7, 2017 Edition

LETTER FROM THE EDITOR Dear Colleague, The Embedded Vision Summit is the preeminent conference on practical computer vision, covering applications at the edge and in the cloud. It attracts a global audience of over one thousand product creators, entrepreneurs and business decision-makers who are creating and using computer vision technology. The Embedded Vision Summit has

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“End to End Fire Detection Deep Neural Network Platform,” a Presentation from Tyco Innovation

Divya Jain, Technical Director at Tyco Innovation, presents the "End to End Fire Detection Deep Neural Network Platform" tutorial at the May 2017 Embedded Vision Summit. This presentation dives deep into a real-world problem of fire detection to see what it takes to build a complete solution using CNNs. Fire is specifically challenging because it

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“Designing CNN Algorithms for Real-time Applications,” a Presentation from Almond AI

Matthew Chiu, Founder of Almond AI, presents the "Designing CNN Algorithms for Real-time Applications" tutorial at the May 2017 Embedded Vision Summit. The real-time performance of CNN-based applications can be improved several-fold by making smart decisions at each step of the design process – from the selection of the machine learning framework and libraries used

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“The Coming Shift from Image Sensors to Image Sensing,” a Presentation from LG

Paul Gallagher, Senior Director of Technology and Product Planning for LG, presents the "Coming Shift from Image Sensors to Image Sensing" tutorial at the May 2017 Embedded Vision Summit. The image sensor space is entering the fourth disruption in its evolution. The first three disruptions primarily focused on taking “pretty pictures” for human consumption, evaluation,

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BrainChip Completes Placement to Raise A$21.5 Million

BrainChip raises A$21.5 million in an oversubscribed share placement. Placement was supported by a large number of institutions. Funds raised will allow BrainChip to accelerate its commercialization strategy and to further develop its existing video analytics products and its planned AKIDA™ Neuromorphic Processor Unit. San Francisco – 31 October, 2017 BrainChip Holdings Ltd. (“BrainChip” or the “Company”) (ASX: BRN), a

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“Intelligent Video Surveillance: Are We There Yet?,” a Presentation from CheckVideo

Nik Gagvani, Founder and President of CheckVideo, presents the "Intelligent Video Surveillance: Are We There Yet?" tutorial at the May 2017 Embedded Vision Summit. The video surveillance market has been an early adopter of computer vision technology. After more than a decade of experience with deployed systems, what have we learned? This talk covers the

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“Intelligent Video Surveillance: Are We There Yet?,” a Presentation from CheckVideo

Nik Gagvani, Founder and President of CheckVideo, presents the "Intelligent Video Surveillance: Are We There Yet?" tutorial at the May 2017 Embedded Vision Summit. The video surveillance market has been an early adopter of computer vision technology. After more than a decade of experience with deployed systems, what have we learned? This talk covers the

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The Flying Eye

This article was originally published at IDS Imaging's website. It is reprinted here with the permission of IDS Imaging. Besides 3D and robot vision, embedded vision is one of the latest hot topics in machine vision. This is because without real-time machine vision, there would be no such thing as autonomous transport systems and robots

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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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PO Box #4446
Walnut Creek, CA 94596

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Phone: +1 (925) 954-1411
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