TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-030-90903-1
DO  - doi
AB  - 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.
T1  - Visual inference for IoT systems :a practical approach /
DA  - 2022.
CY  - Cham, Switzerland :
AU  - Velasco-Montero, Delia,
AU  - Fernández-Berni, Jorge,
AU  - Rodríguez-Vázquez, Angel,
CN  - TA1634
PB  - Springer,
PP  - Cham, Switzerland :
PY  - 2022.
ID  - 1444050
KW  - Computer vision.
KW  - Internet of things.
KW  - Vision par ordinateur.
KW  - Internet des objets.
SN  - 9783030909031
SN  - 3030909034
TI  - Visual inference for IoT systems :a practical approach /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-90903-1
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-90903-1
ER  -