APPLICATIONS

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High-Performance Machine Vision Systems Using Xilinx 7 Series Technology

This is a reprint of a Xilinx white paper also found here (PDF). Xilinx and its Alliance partner Sensor to Image have created hardware, software, IP, and whole turn-key system solutions for the growing high-performance Machine Vision market. By Mark Timmons Xilinx, Inc. and Werner Feith Sensor to Image, GmbH Abstract The Machine Vision market […]

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Vision-Based Artificial Intelligence Brings Awareness to Surveillance

A version of this article was originally published at EE Times' Embedded.com Design Line. It is reprinted here with the permission of EE Times. Moving beyond the research lab, embedded vision is rapidly augmenting traditional law enforcement techniques in real world surveillance settings. Technological gaps are rapidly being surmounted as automated surveillance systems' various hardware

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Industrial Automation and Embedded Vision: A Powerful Combination

A version of this article was originally published at InTech Magazine. It is reprinted here with the permission of the International Society of Automation. In order for manufacturing robots and other industrial automation systems to meaningfully interact with the objects they're assembling, as well as to deftly and safely move about in their environments, they

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May 2014 Embedded Vision Alliance Member Meeting Presentation: “Cameras In, On, and Around the Car: Understanding and Sizing Marketing Opportunities,” Roger Lanctot, Strategy Analytics

Roger Lanctot, Associate Director of the Automotive Practice at Strategy Analytics, delivers the presentation "Cameras In, On, and Around the Car: Understanding and Sizing Marketing Opportunities" at the May 2014 Embedded Vision Alliance Member Meeting.

May 2014 Embedded Vision Alliance Member Meeting Presentation: “Cameras In, On, and Around the Car: Understanding and Sizing Marketing Opportunities,” Roger Lanctot, Strategy Analytics Read More +

“Self-Driving Cars,” an Embedded Vision Summit Keynote Presentation from Google

Nathaniel Fairfield, Technical Lead at Google, presents the "Self-Driving Cars" keynote at the May 2014 Embedded Vision Summit. Self-driving cars have the potential to transform how we move: they promise to make us safer, give freedom to millions of people who can't drive, and give people back their time. The Google Self-Driving Car project was

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GPUTech

Real-Time Traffic Sign Recognition on Mobile Processors

There is a growing need for fast and power-efficient computer vision on embedded devices. This session will focus on computer vision capabilities on embedded platforms available to ADAS developers, covering the OpenCV CUDA implementation and the new computer vision standard, OpenVX. In addition, Itseez traffic sign detection will be showcased. The algorithm is capable of

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Improved Vision Processors, Sensors Enable Proliferation of New and Enhanced ADAS Functions

This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. Thanks to the emergence of increasingly capable and cost-effective processors, image sensors, memories and other semiconductor devices, along with robust algorithms, it's now practical to incorporate computer vision into a wide range of embedded

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October 2013 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 within the "Vision Applications" technical session at the October 2013 Embedded Vision Summit East. MacDougall explains how gestures fit into the spectrum of advanced user interface options, compares and contrasts the various 2-D and 3-D technologies (vision and other) available

October 2013 Embedded Vision Summit Technical Presentation: “Vision-Based Gesture User Interfaces,” Francis MacDougall, Qualcomm Read More +

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Visual Intelligence Gives Robotic Systems Spatial Sense

This article is an expanded version of one originally published at EE Times' Embedded.com Design Line. It is reprinted here with the permission of EE Times. In order for robots to meaningfully interact with objects around them as well as move about their environments, they must be able to see and discern their surroundings. Cost-effective

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October 2013 Embedded Vision Summit Technical Presentation: “Better Image Understanding Through Better Sensor Understanding,” Michael Tusch, Apical

Michael Tusch, Founder and CEO of Apical Imaging, presents the "Better Image Understanding Through Better Sensor Understanding" tutorial within the "Front-End Image Processing for Vision Applications" technical session at the October 2013 Embedded Vision Summit East. One of the main barriers to widespread use of embedded vision is its reliability. For example, systems which detect

October 2013 Embedded Vision Summit Technical Presentation: “Better Image Understanding Through Better Sensor Understanding,” Michael Tusch, Apical 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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Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

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Phone: +1 (925) 954-1411
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