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Low-Power Smart Imagers for Vision-Enabled Sensor Networks

Autor Jorge Fernández-Berni, Ricardo Carmona-Galán, Ángel Rodríguez-Vázquez
en Limba Engleză Paperback – 8 mai 2014
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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Specificații

ISBN-13: 9781489995407
ISBN-10: 1489995404
Pagini: 180
Ilustrații: XXIV, 156 p.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.28 kg
Ediția:2012
Editura: Springer
Locul publicării:New York, NY, United States

Public țintă

Professional/practitioner

Cuprins

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.

Textul de pe ultima copertă

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.