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120405s2012 xxu| s |||| 0|eng d |
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|a 9781461423928
|9 978-1-4614-2392-8
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|a 10.1007/978-1-4614-2392-8
|2 doi
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|a TK7867-7867.5
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|2 thema
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|a 621.3815
|2 23
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|a Fernández-Berni, Jorge.
|e author.
|0 (orcid)0000-0003-0476-4676
|1 https://orcid.org/0000-0003-0476-4676
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Low-Power Smart Imagers for Vision-Enabled Sensor Networks
|h [electronic resource] /
|c by Jorge Fernández-Berni, Ricardo Carmona-Galán, Ángel Rodríguez-Vázquez.
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250 |
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|a 1st ed. 2012.
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264 |
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|a New York, NY :
|b Springer New York :
|b Imprint: Springer,
|c 2012.
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300 |
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|a XXIV, 156 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Introduction -- Vision-enabled WSN Nodes: State of the Art -- Processing Primitives for Image Simplification -- VLSI Implementation of Linear Diffusion -- FLIP-Q: A QCIF Resolution Focal-plane Array for Low-power Image Processing -- Wi-FLIP: A Low-power Vision-enabled WSN Node -- Case Study: Early Detection of Forest Fires.
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|a 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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|a Electronic circuits.
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|a Electronics.
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|a Signal processing.
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|a Electronic Circuits and Systems.
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|a Electronics and Microelectronics, Instrumentation.
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650 |
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|a Signal, Speech and Image Processing .
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700 |
1 |
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|a Carmona-Galán, Ricardo.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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700 |
1 |
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|a Rodríguez-Vázquez, Ángel.
|e author.
|0 (orcid)0000-0002-1006-5241
|1 https://orcid.org/0000-0002-1006-5241
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer Nature eBook
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776 |
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|i Printed edition:
|z 9781489995407
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776 |
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|i Printed edition:
|z 9781461423935
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776 |
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8 |
|i Printed edition:
|z 9781461423911
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856 |
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|u https://doi.uam.elogim.com/10.1007/978-1-4614-2392-8
|z Texto Completo
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912 |
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|a ZDB-2-ENG
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912 |
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|a ZDB-2-SXE
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950 |
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|a Engineering (SpringerNature-11647)
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950 |
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|a Engineering (R0) (SpringerNature-43712)
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