Visual Inference for IoT Systems A Practical Approach 1st editon by Delia Velasco Montero, Jorge Fernández Berni, Angel Rodríguez Vázquez 3030909034 9783030909031

Visual Inference for IoT Systems A Practical Approach 1st editon by Delia Velasco Montero, Jorge Fernández Berni, Angel Rodríguez Vázquez  – Ebook PDF Instant Download/Delivery: 3030909034, 9783030909031
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ISBN 10: 3030909034
ISBN 13: 9783030909031
Author: Delia Velasco-Montero; Jorge Fernández-Berni; Angel Rodríguez-Vázquez

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

Visual Inference for IoT Systems A Practical Approach 1st Table of contents:

1. Introduction

2. Embedded Vision for the Internet of Things: A Survey on State-of-the-Art Hardware, Software, and Deep Learning Models

3. Optimal Selection of Software and Models for Visual Inference

4. Relevant Hardware Metrics for Performance Evaluation

5. Prediction of Visual Inference Performance

6. A Case Study: Remote Animal Monitoring

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Delia Velasco Montero,Jorge Fernández Berni,Angel Rodríguez Vázquez,Visual Inference