Poza-Lujan, J.-L.; Posadas-Yagüe, J.-L.; Simó-Ten, J.-E.; Blanes, F. Distributed Architecture to Integrate Sensor Information: Object Recognition for Smart Cities. Sensors2020, 20, 112.
Poza-Lujan, J.-L.; Posadas-Yagüe, J.-L.; Simó-Ten, J.-E.; Blanes, F. Distributed Architecture to Integrate Sensor Information: Object Recognition for Smart Cities. Sensors 2020, 20, 112.
Poza-Lujan, J.-L.; Posadas-Yagüe, J.-L.; Simó-Ten, J.-E.; Blanes, F. Distributed Architecture to Integrate Sensor Information: Object Recognition for Smart Cities. Sensors2020, 20, 112.
Poza-Lujan, J.-L.; Posadas-Yagüe, J.-L.; Simó-Ten, J.-E.; Blanes, F. Distributed Architecture to Integrate Sensor Information: Object Recognition for Smart Cities. Sensors 2020, 20, 112.
Abstract
Objects recognition is a necessary task in smart city environments. This recognition can be used in processes such as the reconstruction of the environment map or the intelligent navigation of vehicles. This paper proposes an architecture that integrates heterogeneous distributed information to recognize objects in intelligent environments. The architecture is based on the IoT / Industry 4.0 model to interconnect the devices, called Smart Resources. Smart Resources can process local sensor data and send information to other devices. These other devices can be located in the same operating range, the Edge, in the same intranet, the Fog, or on the Internet, the Cloud. Smart Resources must have an intelligent layer in order to be able to process the information. A system with two Smart Resources equipped with different image sensors has been implemented to validate the architecture. Experiments show that the integration of information increases the certainty in the recognition of objects between 2\% and 4\%. Consequently, in the field of intelligent environments, it seems appropriate to provide the devices with intelligence, but also capabilities to collaborate closely with other devices.
Keywords
smart environment; smart sensors; distributed architectures; object detection; information integration
Subject
Engineering, Control and Systems Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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