Visual Inference for IoT Systems: A Practical Approach

di Delia Velasco-Montero (Autore)

Jorge Fernández-Berni (Autore)

Angel Rodríguez-Vázquez (Autore)

Springer Nature Switzerland AG, 2022

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.

• Autore: Delia Velasco-Montero, Jorge Fernández-Berni, Angel Rodríguez-Vázquez
• Editore: Springer Nature Switzerland AG
• Anno: 2022
• Rilegatura: Hardback
• Pagine: 159 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783030909024

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