Data & IT
Pocket
Visual Inference for IoT Systems: A Practical Approach
Delia Velasco-Montero • Jorge Fernndez-Berni • Angel Rodrguez-Vzquez
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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.
- Format: Pocket/Paperback
- ISBN: 9783030909055
- Språk: Engelska
- Antal sidor: 159
- Utgivningsdatum: 2023-01-31
- Förlag: Springer Nature Switzerland AG