Low-power smart imagers for vision-enabled sensornetworks

This book presents a comprehensive, systematic approach to the development ofvision system architectures that employ sensory-processing concurrency and parallel processing to meet the autonomy challenges posed by a variety of safetyand 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 theirimplementation 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;Includesdetails of specifications and challenges of vision-enabled WSNs;Explains architectures for low-energy CMOS vision chips with embedded, programmable spatialfiltering capabilities;Includes considerations pertaining to the integration of vision chips into off-the-shelf WSN platforms. INDICE: 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.

• ISBN: 978-1-4614-2391-1
• Editorial: Springer
• Encuadernacion: Cartoné
• Fecha Publicación: 07/04/2012
• Nº Volúmenes: 1
• Idioma: Inglés