Low-power Smart Imagers For Vision-enabled Sensor Networks
by Jorge Fernandez-Berni /
2013 / English / PDF
6.8 MB Download
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.
