TECHNOLOGIES

The Gesture Interface: A Compelling Competitive Advantage in the Technology Race

By Brian Dipert Senior Analyst, BDTI Editor-in-Chief, Embedded Vision Alliance Yair Siegel Director of Marketing, Multimedia, CEVA Simon Morris Chief Executive Officer, CogniVue Liat Rostock Marketing Director, eyeSight Mobile Technologies Gershom Kutliroff Chief Technical Officer, Omek Interactive This article was originally published at EE Times' Communications Design Line. It is reprinted here with the permission […]

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3D Imaging With National Instruments’ LabVIEW

by Vineet Aggarwal Embedded Systems Group Manager National Instruments This is a reprint of a National Instruments-published white paper, which is also available here. Overview 3D imaging technology has come a long way from its roots in academic research labs, and thanks to innovations in sensors, lighting and most importantly, embedded processing, 3D vision is

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An Architecture for Compute-Intensive, Custom Machine Vision

By Tom Catalino Vice President Critical Link, LLC and Asheesh Bhardwaj DSP Senior Applications Engineer Texas Instruments This is a reprint of a Texas Instruments-published white paper, which is also available here (560 KB PDF). Introduction Machine vision technology is growing in adoption, and it has been and will continue to be deployed in a

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Using Xilinx FPGAs to Solve Endoscope System Architecture Challenges

By Jon Alexander, Technical Marketing Manager for ISM (Industrial, Scientific, Medical) Markets Xilinx Corporation Image enhancement functions – noise reduction, edge enhancement, dynamic range correction, digital zoom, scaling, etc – are key elements of many embedded vision designs, in improving the ability for downstream algorithms to automatically extract meaning from the image. Interface flexibility and

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Figure 3_IP Rated Smart Camera

Eight Considerations When Evaluating a Smart Camera

By Carlton Heard Product Engineer – Vision Hardware and Software National Instruments With the increase in performance and decrease in cost, smart cameras have become increasingly more accessible over the past decade. Given this trend, how do you determine which smart camera best meets your needs or decide if a smart camera is appropriate for

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September 2012 Embedded Vision Summit Presentation: “Optimization and Acceleration for OpenCV-Based Embedded Vision Applications,” Bo Wu, Synopsys

Bo Wu, Technical Marketing Manager at Synopsys, presents the "Optimization and Acceleration for OpenCV-Based Embedded Vision Applications" tutorial within the "Using Tools, APIs and Design Techniques for Embedded Vision" technical session at the September 2012 Embedded Vision Summit.

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“Exposing the Android Camera Stack,” a Technology Tutorial from Aptina Imaging

Reach beyond the lens with Balwinder Kaur and Joe Rickson of Aptina Imaging as they break down Android's camera stack for the San Francisco Android User Group on August 28, 2012, including what's new and changed in "Jelly Bean" (Android 4.1). Ms. Kaur covers camera APIs and their functions inside Android. Mr. Rickson then discusses

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Hot Chips Symposium Presentation Underscores Analog Devices’ Commitment to Vision Applications

Attendees at the 2012 HOT CHIPS symposium recently learned about Analog Devices’ new BF60x family of video and vision processors and their associated capabilities. Robert Bushey, principal architect and technologist, Embedded Systems Products and Technology Business Unit, presented about the BF60x family at the gathering, which is one of the semiconductor industry’s leading conferences on

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“Machine Learning,” a Presentation from UT Austin

Professor Kristen Grauman of the University of Texas at Austin presents the keynote on machine learning at the December 2012 Embedded Vision Alliance Member Summit. Grauman is a rising star in computer vision research. Among other distinctions, she was recently recognized with a Regents' Outstanding Teaching Award and, along with Devi Parikh, received the prestigious

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Embedded Vision Alliance Conversation with Daniel Wilding of National Instruments

Jeff Bier, founder of the Embedded Vision Alliance, interviews Daniel Wilding, National Instruments Digital Hardware Engineer. Jeff and Daniel discuss National Instruments' history, current status and future plans in the embedded vision application space, the applicability and advantages of FPGAs as embedded vision processors, and National Instruments' development tools for simplifying and otherwise optimizing FPGA-based

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