Next Article in Journal
Nonlinear Maximization of the Sum-Frequency Component from Two Ultrasonic Signals in a Bubbly Liquid
Next Article in Special Issue
Component-Based Interactive Framework for Intelligent Transportation Cyber-Physical Systems
Previous Article in Journal
Coupled Dynamic Analysis and Decoupling Optimization Method of the Laser Gyro Inertial Measurement Unit
Previous Article in Special Issue
MuTraff: A Smart-City Multi-Map Traffic Routing Framework
Open AccessArticle

Distributed Architecture to Integrate Sensor Information: Object Recognition for Smart Cities

University Institute of Control Systems and Industrial Computing (ai2), Universitat Politècnica de València (UPV) Camino de Vera, s/n, 46022 Valencia, Spain
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(1), 112; https://doi.org/10.3390/s20010112
Received: 1 November 2019 / Revised: 10 December 2019 / Accepted: 18 December 2019 / Published: 23 December 2019
(This article belongs to the Special Issue Architectures and Platforms for Smart and Sustainable Cities)
Object recognition, which can be used in processes such as reconstruction of the environment map or the intelligent navigation of vehicles, is a necessary task in smart city environments. In this paper, we propose an architecture that integrates heterogeneously distributed information to recognize objects in intelligent environments. The architecture is based on the IoT/Industry 4.0 model to interconnect the devices, which are called smart resources. Smart resources can process local sensor data and offer information to other devices as a service. 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 is implemented to validate the architecture. Our experiments show that the integration of information increases the certainty in the recognition of objects by 2–4%. Consequently, in intelligent environments, it seems appropriate to provide the devices with not only intelligence, but also capabilities to collaborate closely with other devices. View Full-Text
Keywords: smart environment; smart sensors; distributed architectures; object detection; information integration; smart cities smart environment; smart sensors; distributed architectures; object detection; information integration; smart cities
Show Figures

Figure 1

MDPI and ACS Style

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.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop