Overview
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.
- | Author: Delia Velasco-Montero, Jorge Fernández-Berni, Angel Rodríguez-Vázquez
- | Publisher: Springer
- | Publication Date: Jan 31, 2023
- | Number of Pages: 172 pages
- | Language: English
- | Binding: Paperback
- | ISBN-10: 3030909050
- | ISBN-13: 9783030909055
