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Low-Power Smart Imagers for Vision-Enabled Sensor Networks
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Low-Power Smart Imagers for Vision-Enabled Sensor Networks
Fernández-Berni, Jorge; Carmona-Galán, Ricardo; Rodríguez-Vázquez, Ángel
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.Details
Published by: Springer
Publication Date: 2012-04-07
Format: Hardcover
ISBN-13: 9781461423911
DOI: 10.1007/978-1-4614-2392-8
Dimensions: 235cm x155cm
Pages: 156