Brian Dipert

Avnet Electronics Demonstration of Face Analytics

Avnet, Videos /

Mario Bergeron, Technical Marketing Engineer at Avnet Electronics Marketing, demonstrates the company's latest embedded vision technologies and products at the May 2015 Embedded Vision Summit. Specifically, Bergeron demonstrates a face analytics application developed by partner Xylon and running on a carrier board comprised of a SOM (System on Module) based on Xilinx's Zynq-7000 All-Programmable SoC.

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“Introducing the IEEE Low-Power Image Recognition Challenge (LPIRC),” a Presentation from Purdue University

Videos /

Yung-Hsiang Lu, Associate Professor at Purdue University, delivers the presentation "Introducing the IEEE Low-Power Image Recognition Challenge (LPIRC)" at the September 2015 Embedded Vision Alliance Member Meeting. Yung-Hsiang describes the objectives and details of the competition, the 2015 LPIRC results, and the upcoming 2016 LPIRC plans.

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A Primer on Mobile Systems Used for Heterogeneous Computing

Articles, Imagination Technologies, Technical Articles /

This article was originally published at Imagination Technologies' website, where it is one of a series of articles. It is reprinted here with the permission of Imagination Technologies. In the mobile and embedded market, the design constraints of electronic products can sometimes be seen as tight and contradictory: the market demands higher performance yet lower

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Embedded Vision Alliance Member Meetings: Geekfests for Vision Technologists

Blog Posts /

This blog post was originally published at Auviz Systems' website. It is reprinted here with the permission of Auviz Systems. I recently had a chance to spend a day with dozens of my favorite fellow embedded vision geeks. Once a quarter, the Embedded Vision Alliance holds a member meeting, where we spend the day networking

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Computer Vision Technologies and Markets

Market Analysis /

After being a research technology for the past few decades, computer vision has become commercialized in the past few years and is being deployed in a wide range of application markets including security and surveillance, automotive, consumer, industrial, medical, and entertainment, to name a few. Rapid development of technology, falling chip prices, and greater ease

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Videantis Demonstrations of Structure from Motion, Pedestrian Detection, and Face Detection

Videos /

Marco Jacobs, Vice President of Marketing at videantis, demonstrates the company's latest embedded vision technologies and products at the May 2015 Embedded Vision Summit. Specifically, Jacobs demonstrates various vision processing applications running on the company's multicore VLIW SIMD vision processor.

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Embedded Vision Insights: September 22, 2015 Edition

Edge AI and Vision Alliance, Newsletters /

In this edition of Embedded Vision Insights: OpenCL on FPGAs for Deep Learning and Other Applications Histogram of Oriented Gradients Implementations Heterogeneous Computing Terms Explained Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, The final set of technical presentations from this year's Embedded Vision Summit is now on the Alliance website; I'd

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The Complete Glossary to Heterogeneous Compute

Articles, Imagination Technologies, Technical Articles /

This article was originally published at Imagination Technologies' website, where it is one of a series of articles. It is reprinted here with the permission of Imagination Technologies. For the last decade, Imagination has been at the forefront of heterogeneous compute, becoming a founding member of the HSA Foundation and a contributor to many open

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Accelerating Machine Learning: Implementing Deep Neural Networks on FPGAs

Algorithms & Models, AMD, Processors, Software, Technical Articles, Tools /

This introductory article discusses implementing machine learning algorithms on FPGAs, achieving significant performance improvements at much lower power. Newly available middleware IP, together with the SDAccel programming environment, enables software developers to implement convolutional neural networks (CNNs) in C/C++, leveraging an OpenCL platform model. Machine Learning in the Cloud: A Tipping Point The transformation of

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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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