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Low-Power Smart Imagers for Vision-Enabled Sensor Networks

Download or Read eBook Low-Power Smart Imagers for Vision-Enabled Sensor Networks PDF written by Jorge Fernández-Berni and published by Springer Science & Business Media. This book was released on 2012-04-06 with total page 173 pages. Available in PDF, EPUB and Kindle.
Low-Power Smart Imagers for Vision-Enabled Sensor Networks
Author :
Publisher : Springer Science & Business Media
Total Pages : 173
Release :
ISBN-10 : 9781461423928
ISBN-13 : 1461423929
Rating : 4/5 (28 Downloads)

Book Synopsis Low-Power Smart Imagers for Vision-Enabled Sensor Networks by : Jorge Fernández-Berni

Book excerpt: This book presents a comprehensive, systematic approach to the development of vision system architectures that employ sensory-processing concurrency and parallel processing to meet the autonomy challenges posed by a variety of safety and surveillance applications. Coverage includes a thorough analysis of resistive diffusion networks embedded within an image sensor array. This analysis supports a systematic approach to the design of spatial image filters and their implementation as vision chips in CMOS technology. The book also addresses system-level considerations pertaining to the embedding of these vision chips into vision-enabled wireless sensor networks. Describes a system-level approach for designing of vision devices and embedding them into vision-enabled, wireless sensor networks; Surveys state-of-the-art, vision-enabled WSN nodes; Includes details of specifications and challenges of vision-enabled WSNs; Explains architectures for low-energy CMOS vision chips with embedded, programmable spatial filtering capabilities; Includes considerations pertaining to the integration of vision chips into off-the-shelf WSN platforms.


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