Articles

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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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Developing a Part Finishing and Inspection System Using NI Smart Cameras and LabVIEW

"By using NI hardware and software, we seamlessly combined the material removal and inspection solution using the framework for previously developed solutions." – Michael Muldoon, AV&R Vision & Robotics The Challenge Automating the deburring and final inspection of turbine airfoils for aircraft engines. The Solution Building a robotics cell based on NI LabVIEW to precisely

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Sylvania Lighting Develops Flexible Machine Control System Using NI Vision, Motion, Intelligent DAQ, and LabVIEW

"With the LabVIEW platform, we can easily adapt to different process requirements and adapt the software for future enhancements." – Danny Hendrikx, Sylvania Lighting International The Challenge Building an accurate and flexible research and development production machine for a new, smaller type of metal halide lamp. The Solution Integrating NI vision and motion control technology

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Implementing Visual Intelligence in Embedded Systems

By Jeff Bier Founder, Embedded Vision Alliance Co-Founder and President, BDTI This article was originally published in abridged form by Electronic Product Design Magazine (Adobe Flash support is required to view). It is reprinted here with the permission of the original publisher. The term “embedded vision” refers to the use of computer vision technology in

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Camera-Based ADAS for Mass Deployments

By Peter Voss and Benno Kusstatscher, Automotive Segment Team Analog Devices This article was originally published by Elektronik Magazine. It is reprinted here with the permission of the original publisher. Abstract Car manufacturers (OEM‘s) and system suppliers (Tier 1s) do agree: Advanced Driver Assistance Systems (ADAS) will see a steep growth in the years to

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Auto-Safety Mandate Brings Video Systems into Full View, Along with Design Challenges

By Don Nesbitt, Marketing Manager in the High Speed Signal Conditioning Group Analog Devices This article was originally published by Hanser Automotive Magazine. It is reprinted here with the permission of the original publisher. The emerging field of video-based automotive safety was in the headlines during December 2011 when the U.S. Department of Transportation proposed

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Image Sensors Evolve to Meet Emerging Embedded Vision Needs – Part 2: HDR Processing

by Michael Tusch Founder and CEO Apical Limited This article was originally published at EDN Magazine. It is reprinted here with the permission of EDN. It was adapted from Michael's technical article on the Embedded Vision Alliance website. Part 1 of this article looks at examples of embedded vision and how the technology transition from

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Image Sensors Evolve to Meet Emerging Embedded Vision Needs – Part 1

By Brian Dipert Editor-In-Chief Embedded Vision Alliance and Eric Gregori and Shehrzad Qureshi Senior Engineers BDTI This article was originally published at EDN Magazine. It is reprinted here with the permission of EDN. It was adapted from Eric and Shehrzad's technical trends presentation at the March 2012 Embedded Vision Alliance Member Summit. In Part 1

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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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