Brian Dipert

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Amazon Announces the Fire Phone, Powered by a Snapdragon Processor

This article was originally published at Qualcomm's blog. It is reprinted here with the permission of Qualcomm. Today, Amazon introduced the Fire Phone, the first phone ever designed by the retail giant. Featuring a Qualcomm® Snapdragon™ 800 processor, the Fire Phone aims to make a name for itself with innovative technologies, including a highly customized […]

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“Project Tango: Integrating 3D Vision Into Smartphones,” a Presentation From Google

Johnny Lee, Technical Program Lead at Google, delivers the presentation "Google Project Tango: Integrating 3D Vision Into Smartphones," at the May 2014 Embedded Vision Alliance Member Meeting. Project Tango is an effort to harvest research in computer vision and robotics and concentrate that technology into a mobile platform. It uses vision and sensor fusion to

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May 2014 Embedded Vision Summit Technical Presentation: “Embedded Lucas-Kanade Tracking: How It Works, How to Implement It, and How to Use It,” Goksel Dedeoglu, PercepTonic

Goksel Dedeoglu, Ph.D., Founder and Lab Director of PercepTonic, presents the "Embedded Lucas-Kanade Tracking: How It Works, How to Implement It, and How to Use It" tutorial at the May 2014 Embedded Vision Summit. This tutorial is intended for technical audiences interested in learning about the Lucas-Kanade (LK) tracker, also known as the Kanade-Lucas-Tomasi (KLT)

May 2014 Embedded Vision Summit Technical Presentation: “Embedded Lucas-Kanade Tracking: How It Works, How to Implement It, and How to Use It,” Goksel Dedeoglu, PercepTonic Read More +

May 2014 Embedded Vision Summit Technical Presentation: “Evolving Algorithmic Requirements for Recognition and Classification in Augmented Reality,” Simon Morris, CogniVue

Simon Morris, CEO of CogniVue, presents the "Evolving Algorithmic Requirements for Recognition and Classification in Augmented Reality" tutorial at the May 2014 Embedded Vision Summit. Augmented reality (AR) applications are based on accurately computing a camera's 6 degrees of freedom (6DOF) position in 3-dimensional space, also known as its "pose". In vision-based approaches to AR,

May 2014 Embedded Vision Summit Technical Presentation: “Evolving Algorithmic Requirements for Recognition and Classification in Augmented Reality,” Simon Morris, CogniVue Read More +

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Embedded Vision Insights: June 17, 2014 Edition

In this edition of Embedded Vision Insights: Embedded Vision Summit West Content 3D Stereo Vision Training Resources Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, Videos of presentations from the recent Embedded Vision Summit West have begun to appear on the Alliance website. We’ve just published the two outstanding keynotes delivered that

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May 2014 Embedded Vision Summit Technical Presentation: “Vision-Based Gesture User Interfaces,” Francis MacDougall, Qualcomm

Francis MacDougall, Senior Director of Technology at Qualcomm, presents the "Vision-Based Gesture User Interfaces" tutorial at the May 2014 Embedded Vision Summit. The means by which we interact with the machines around us is undergoing a fundamental transformation. While we may still sometimes need to push buttons, touch displays and trackpads, and raise our voices,

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May 2014 Embedded Vision Summit Technical Presentation: “Programming Novel Recognition Algorithms on Heterogeneous Architectures,” Kees Vissers, Xilinx

Kees Vissers, Distinguished Engineer at Xilinx, presents the "Programming Novel Recognition Algorithms on Heterogeneous Architectures" tutorial at the May 2014 Embedded Vision Summit. The combination of heterogeneous systems, consisting of processors and FPGA, is a high-performance implementation platform for image and vision processing. One of the significant hurdles in leveraging the compute potential was the

May 2014 Embedded Vision Summit Technical Presentation: “Programming Novel Recognition Algorithms on Heterogeneous Architectures,” Kees Vissers, Xilinx Read More +

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New Generation of High-Performance Blackfin Processors Optimized for Power-Constrained Industrial Imaging, Audio and Automotive Applications

ADSP-BF70x processor family with up to 800 MMACs performance and 1 MB of embedded SRAM consumes half the power of competing devices. Norwood, MA (06/12/2014) – Analog Devices, Inc. (NASDAQ: ADI), a global leader in high-performance signal processing technology, introduced today the ADSP-BF70x Blackfin® processor family, a high-performance DSP series that delivers a class-leading 800

New Generation of High-Performance Blackfin Processors Optimized for Power-Constrained Industrial Imaging, Audio and Automotive Applications Read More +

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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