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

Jose-Luis Poza-Lujan1, Juan-Luis Posadas-Yagüe1, José-Enrique Simó-Ten1

  • 1University Institute of Control Systems and Industrial Computing (ai2), Universitat Politècnica de València (UPV) Camino de Vera, s/n. 46022 Valencia, Spain.

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Summary
This summary is machine-generated.

This study introduces an IoT/Industry 4.0 architecture for smart city object recognition. Integrating data from smart resources enhances object recognition certainty by 2-4%.

Keywords:
distributed architecturesinformation integrationobject detectionsmart citiessmart environmentsmart sensors

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Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Internet of Things

Background:

  • Object recognition is crucial for smart city applications like environmental mapping and intelligent vehicle navigation.
  • Existing systems often lack robust methods for integrating diverse data sources in intelligent environments.

Purpose of the Study:

  • To propose and validate a novel architecture for object recognition in intelligent environments.
  • To leverage heterogeneous information integration using an IoT/Industry 4.0 model.

Main Methods:

  • Developed an architecture based on the IoT/Industry 4.0 model, utilizing interconnected 'smart resources'.
  • Smart resources process local sensor data and offer information as services across edge, fog, and cloud computing layers.
  • Implemented a validation system with two smart resources featuring different image sensors.

Main Results:

  • The proposed architecture successfully integrates heterogeneously distributed information.
  • Information integration increased object recognition certainty by 2-4% in experimental validation.
  • Demonstrated the effectiveness of collaborative capabilities among intelligent devices.

Conclusions:

  • The integration of information from distributed smart resources significantly improves object recognition accuracy.
  • Intelligent environments benefit from devices possessing both intelligence and collaborative capabilities.
  • The proposed architecture provides a scalable and effective solution for object recognition in smart cities.