Low-Power Smart Imagers for Vision-Enabled Sensor Networks - Brossura

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

Brossura

ISBN 10: 1489995404 ISBN 13: 9781489995407

Casa editrice: Springer, 2014

Riassunto

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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Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2014
• Lingua: Inglese
• ISBN 10: 1489995404
• ISBN 13: 9781489995407
• Rilegatura: Copertina flessibile
• Numero di pagine: 180
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Germania