Brian Dipert

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Embedded Vision Insights: October 25, 2016 Edition

FEATURED VIDEOS "Low-power Embedded Vision: A Face Tracker Case Study," a Presentation from Synopsys The ability to reliably detect and track individual objects or people has numerous applications, for example in the video-surveillance and home entertainment fields. While this has proven to be a challenging problem, recent years have brought higher performance solutions such as […]

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Movidius Strikes Deal with Hikvision to Bring Artificial Intelligence to Intelligent Cameras

SAN MATEO, California – October 24th, 2016 – Movidius – the world leader in embedded machine vision technology together with leading provider of video-based IoT (Internet of Things) solutions and data operation services Hikvision have announced that Movidius’ Myriad 2 Vision Processing Unit (VPU) technology will be powering a new lineup of smart cameras. Among

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

Nik Gagvani, President and General Manager of CheckVideo, delivers the presentation "Intelligent Video Surveillance: Are We There Yet?" at the September 2016 Embedded Vision Alliance Member Meeting. Gagvani provides an insider's perspective on vision-enabled video surveillance applications.

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ON Semiconductor Imaging Technology Plays Integral Role in World’s First Multi-Aperture Computational Camera

Space saving, power-efficient customized image sensors prove instrumental in bringing performance and functionality normally associated with DSLRs into smartphone size designs PhotoPlus New York, New York – Oct. 20, 2016 – ON Semiconductor (Nasdaq: ON), driving energy efficiency innovations, has drawn on its extensive expertise in image sensor technology to help support Silicon Valley start-up Light. The company

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How to Build an Angstrom Linux Distribution for Intel (Altera) SoC FPGAs with OpenCV and Camera Driver Support

This article was originally published at PathPartner Technology's website. It is reprinted here with the permission of PathPartner Technology. If your realtime image processing applications such as a driver monitoring system are dependent on OpenCV, you have to develop an OpenCV build environment on the target board. This article will guide you through the steps

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“Energy-efficient Hardware for Embedded Vision and Deep Convolutional Neural Networks,” a Presentation from MIT

Vivienne Sze, Assistant Professor at MIT, delivers the presentation "Energy-efficient Hardware for Embedded Vision and Deep Convolutional Neural Networks" at the September 2016 Embedded Vision Alliance Member Meeting. Sze describes the results of her team's recent research on optimized hardware for deep learning. Followup: per Professor Sze, "Slides available at: http://www.rle.mit.edu/eems/wp-content/uploads/2016/07/Sze-Energy-Efficient-Hardware-for-Embedded-Vision-and-Deep-Learning-CVPR-2016-EVW.pdf".

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Learning at the Speed of Sight, A Free Webinar from VeriSilicon

On October 19, 2016 at 1PM ET (10AM PT), VeriSilicon will deliver a free hour-long webinar entitled "Learning at the Speed of Sight", in partnership with the Embedded Vision Alliance Here's the description, from the event registration page: Explore the current state of, and future trends for, deep learning and computer vision technology in embedded

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Baidu Adopts Xilinx to Accelerate Machine Learning Applications in the Data Center

FPGA-based platform supports the rapid growth of intelligent applications in the cloud SAN JOSE, Calif., October 17, 2016 – Xilinx, Inc. (NASDAQ: XLNX) today announced that Baidu, Inc. (NASDAQ: BIDU), the leading Chinese language Internet search provider, is utilizing Xilinx® FPGAs to accelerate machine learning applications in their data centers in China. The two companies

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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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