Overview
- 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
- Includes supplementary material: sn.pub/extras
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About this book
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.Similar content being viewed by others
Keywords
Table of contents (7 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Low-Power Smart Imagers for Vision-Enabled Sensor Networks
Authors: Jorge Fernández-Berni, Ricardo Carmona-Galán, Ángel Rodríguez-Vázquez
DOI: https://doi.org/10.1007/978-1-4614-2392-8
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media New York 2012
Hardcover ISBN: 978-1-4614-2391-1Published: 07 April 2012
Softcover ISBN: 978-1-4899-9540-7Published: 08 May 2014
eBook ISBN: 978-1-4614-2392-8Published: 06 April 2012
Edition Number: 1
Number of Pages: XXIV, 156
Topics: Circuits and Systems, Electronics and Microelectronics, Instrumentation, Signal, Image and Speech Processing