Visual Inference for IoT Systems: A Practical Approach (PDF)
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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.
- Autoren: Delia Velasco-Montero , Jorge Fernández-Berni , Angel Rodríguez-Vázquez
- 2022, 1st ed. 2022, 159 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3030909034
- ISBN-13: 9783030909031
- Erscheinungsdatum: 28.01.2022
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Grösse: 8.11 MB
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