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  • © 2012

Low-Power Smart Imagers for Vision-Enabled 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
  • Includes supplementary material: sn.pub/extras

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Table of contents (7 chapters)

  1. Front Matter

    Pages 1-15
  2. Introduction

    • Jorge Fernández-Berni, Ricardo Carmona-Galán, Ángel Rodríguez-Vázquez
    Pages 1-4
  3. Vision-enabled WSN Nodes: State of the Art

    • Jorge Fernández-Berni, Ricardo Carmona-Galán, Ángel Rodríguez-Vázquez
    Pages 5-20
  4. Processing primitives for image simplification

    • Jorge Fernández-Berni, Ricardo Carmona-Galán, Ángel Rodríguez-Vázquez
    Pages 21-33
  5. VLSI Implementation of Linear Diffusion

    • Jorge Fernández-Berni, Ricardo Carmona-Galán, Ángel Rodríguez-Vázquez
    Pages 35-66
  6. FLIP-Q: A QCIF Resolution Focal-Plane Array for Low-Power Image Processing

    • Jorge Fernández-Berni, Ricardo Carmona-Galán, Ángel Rodríguez-Vázquez
    Pages 67-109
  7. Wi-FLIP: A Low-power Vision-enabled WSN Node

    • Jorge Fernández-Berni, Ricardo Carmona-Galán, Ángel Rodríguez-Vázquez
    Pages 111-126
  8. Case study: early detection of forest fires

    • Jorge Fernández-Berni, Ricardo Carmona-Galán, Ángel Rodríguez-Vázquez
    Pages 127-146
  9. Back Matter

    Pages 160-169

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.

Authors and Affiliations

  • Instituto de Microelectrónica de Sevilla, Sevilla, Spain

    Jorge Fernández-Berni, Ricardo Carmona-Galán, Ángel Rodríguez-Vázquez

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access