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商品詳細
Visual Inference for IoT Systems: A Practical Approach. 2022 ed.
・ISBN 978-3-030-90902-4 hard EUR 129.99
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| 著者・編者 | Velasco-Montero, Delia / Fernandez-Berni, Jorge / Rodriguez-Vazquez, Angel, |
|---|---|
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2022 |
| ページ数 | 159 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-97866＞ |
解説
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.