Visual Inference for IoT Systems: A Practical Approach

This book provides a practical approach to implementing Internet of Things (IoT) devices with visual inference through deep neural networks, covering hardware and software selection, network architectures, and a case study on animal recognition. It is aimed at researchers, industrial practitioners, and graduate students in computer vision and IoT.

Format: Paperback / softback
Length: 159 pages
Publication date: 31 January 2023
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the realm of implementing Internet of Things (IoT) devices, leveraging the power of deep neural networks for visual inference. It offers a systematic approach, covering practical aspects and providing guidelines for selecting optimal hardware and software components, as well as network architectures, based on specific application requirements. The monograph is enriched with a remarkable set of experimental results and functional procedures, substantiating the theoretical concepts and methodologies presented. Additionally, a captivating case study on animal recognition using smart camera traps is presented, thoroughly analyzed, and explored through various system alternatives. A comprehensive realization is developed, accompanied by illustrations, numerous plots from simulations and experiments, and supporting information in the form of charts and tables. Visual Inference and IoT Systems: A Practical Approach serves as a clear and detailed guide to the subject, appealing to researchers, industrial practitioners, and graduate students in the fields of computer vision and IoT.

This comprehensive book delves into the realm of implementing Internet of Things (IoT) devices, leveraging the power of deep neural networks for visual inference. It offers a systematic approach, covering practical aspects and providing guidelines for selecting optimal hardware and software components, as well as network architectures, based on specific application requirements. The monograph is enriched with a remarkable set of experimental results and functional procedures, substantiating the theoretical concepts and methodologies presented. Additionally, a captivating case study on animal recognition using smart camera traps is presented, thoroughly analyzed, and explored through various system alternatives. A comprehensive realization is developed, accompanied by illustrations, numerous plots from simulations and experiments, and supporting information in the form of charts and tables. Visual Inference and IoT Systems: A Practical Approach serves as a clear and detailed guide to the subject, appealing to researchers, industrial practitioners, and graduate students in the fields of computer vision and IoT.

Weight: 279g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030909055
Edition number: 1st ed. 2022