Visual Inference for IoT Systems: A Practical Approach

Visual Inference for IoT Systems: A Practical Approach
Author :
Publisher : Springer Nature
Total Pages : 171
Release :
ISBN-10 : 9783030909031
ISBN-13 : 3030909034
Rating : 4/5 (034 Downloads)

Book Synopsis Visual Inference for IoT Systems: A Practical Approach by : Delia Velasco-Montero

Download or read book Visual Inference for IoT Systems: A Practical Approach written by Delia Velasco-Montero and published by Springer Nature. This book was released on 2022-01-28 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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