Visual Inference for IoT Systems: A Practical Approach

<p>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.</p><p>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.</p><p>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.</p><p></p>