Téléchargez le livre : Visual Inference for IoT Systems: A Practical Approach
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Description

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.
Pages
159 pages
Collection
n.c
Parution
2022-01-28
Marque
Springer
EAN papier
9783030909024
EAN PDF
9783030909031
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
15
Taille du fichier
8509 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
126,59 €
EAN EPUB
9783030909031
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
15
Taille du fichier
27515 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
126,59 €

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