Low-Power Smart Imagers for Vision-Enabled Sensor Networks
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Beschreibung
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.
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.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
Autor*in
Jorge Fernández-Berni
Themen in »Low-Power Smart Imagers for Vision-Enabled Sensor Networks«
Embedded Systems Low Power Smart Cameras Low Power Smart Imagers Smart Cameras Smart Imagers Vision Chips Vision-enabled WSN Wireless Sensor Networks