Produktbild: Visual Inference for IoT Systems: A Practical Approach

Visual Inference for IoT Systems: A Practical Approach

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139,09 €

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ISBN: 3030909026
ISBN 13: 9783030909024
Autor: Velasco-Montero, Delia/Fernández-Berni, Jorge/Rodríguez-Vázquez, Angel
Verlag: Springer Verlag GmbH
Umfang: xiii, 159 S., 2 s/w Illustr., 57 farbige Illustr., 159 p. 59 illus., 57 illus. in color.
Erscheinungsdatum: 29.01.2022
Auflage: 1/2022
Produktform: Gebunden/Hardback
Einband: Gebunden

This book presents a systematic approach to the implementation of Internet of Things (IoT) devices achieving visual inference through deep neural networks. Practical aspects are covered, with a focus on providing guidelines to optimally select hardware and software components as well as network architectures according to prescribed application requirements. The monograph includes a remarkable set of experimental results and functional procedures supporting the theoretical concepts and methodologies introduced. A case study on animal recognition based on smart camera traps is also presented and thoroughly analyzed. In this case study, different system alternatives are explored and a particular realization is completely developed. Illustrations, numerous plots from simulations and experiments, and supporting information in the form of charts and tables make Visual Inference and IoT Systems: A Practical Approach a clear and detailed guide to the topic. It will be of interest to researchers, industrial practitioners, and graduate students in the fields of computer vision and IoT.

Artikelnummer: 2937067 Kategorie:

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E-Mail: juergen.hartmann@springer.com

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