Technical Articles

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3-D Sensors Bring Depth Discernment to Embedded Vision Designs

By Michael Brading Automotive and Industrial Business Unit Chief Technology Officer, Aptina Imaging Kenneth Salsman Director of New Technology, Aptina Imaging Manjunath Somayaji Staff Imaging Scientist, Aptina Imaging Brian Dipert Editor-in-Chief, Embedded Vision Alliance Senior Analyst, BDTI Tim Droz Vice President, US Operations, SoftKinetic Daniël Van Nieuwenhove Chief Technical Officer, SoftKinetic Pedro Gelabert Senior Member […]

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Developing OpenCV Computer Vision Apps for the Android Platform

By Eric Gregori BDTI This article was originally published at EE Times' Embedded.com Design Line. It is reprinted here with the permission of EE Times. You now can hold in the palm of your hand computing power that required a desktop PC form factor just a decade ago. And with its contributions to the development

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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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Expanding Resources Streamline the Creation of “Machines That See”

By Brian Dipert and Jeff Bier Embedded Vision Alliance This article was originally published at EE Times' Embedded.com Design Line. It is reprinted here with the permission of EE Times. This article explores the opportunity for including embedded vision features in products, introduces an industry alliance created to help engineers incorporate vision capabilities into their

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The Embedded Vision Revolution

Semiconductor and software advances are enabling medical devices to derive meaning from digital still and video images. By Brian Dipert Editor-in-Chief, Embedded Vision Alliance Senior Analyst, BDTI and Kamran Khan Technical Marketing Engineer, Xilinx This article was originally published in the May 2013 edition of MD+DI (Medical Device and Diagnostic Industry) Magazine. It is reprinted

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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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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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Particle Board Quality Control Using Parallel Processing of NI Smart Cameras

"Obvious advantages of NI Smart Camera integration with the existing system include zero accidents or health issues, a savings of 150,000 THB (~$4,879 USD) from the labor overtime cost in H1 2012, no transportation cost from returned products, and improving quality control errors detected from 85 percent to 100 percent." – Sarapong Kaney, Siam Riso

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