• Anglický jazyk

Visual Inference for IoT Systems: A Practical Approach

Autor: Delia Velasco-Montero

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... Viac o knihe

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128.69 €

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O knihe

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.

  • Vydavateľstvo: Springer International Publishing
  • Rok vydania: 2022
  • Formát: Hardback
  • Rozmer: 241 x 160 mm
  • Jazyk: Anglický jazyk
  • ISBN: 9783030909024

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