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Challenges to Embedding Computer Vision

By J. Scott Gardner  April 8, 2011   To read this article as a pdf file, click here. For many of us, the idea of computer vision was first imagined as the unblinking red lens through which a computer named HAL spied on the world around itself in 2001: A Space Odyssey (Arthur C. Clark …

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September’s Initial Embedded Vision Alliance Member Summit: A Resounding Success

By Brian Dipert Editor-In-Chief Embedded Vision Alliance Senior Analyst BDTI On September 20, representatives from 18 (of 20 to-date total) Embedded Vision Alliance member companies met in San Jose, CA at the facilities of Alliance member Xilinx. The daylong series of briefings, planning sessions and relationship-building opportunities were judged highly rewarding by all in attendance, …

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How Does Camera Performance Affect Analytics?

By Michael Tusch Founder and CEO Apical Limited Camera designers have decades of experience in creating image processing pipelines which produce attractive and/or visually accurate images, but what kind of image processing produces video which is well-purposed for subsequent analytics? It seems reasonable to begin by considering a conventional ISP (image signal processor). After all, …

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Design Guidelines for Embedded Real-Time Face Detection Applications

By Eldad Melamed Project Manager, Video Algorithms CEVA To read this article as a pdf file, click here. Much like the human visual system, embedded computer vision systems perform the same visual functions of analyzing and extracting information from video in a wide variety of products. In embedded portable devices such as Smartphones, digital cameras, and …

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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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