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Providing IoT Services in Smart Cities through Dynamic Augmented Reality Markers.

David Chaves-Diéguez1, Alexandre Pellitero-Rivero2, Daniel García-Coego3

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Summary

This study introduces dynamic LED markers for smart city maintenance, enabling smartphones to directly access sensor data via augmented reality (AR) without needing network connections. This enhances the accessibility and responsiveness of urban IoT devices.

Keywords:
Internet of Thingsaugmented realitysensorssmart cityvisible light communication

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Area of Science:

  • Computer Science
  • Urban Planning
  • Electrical Engineering

Background:

  • Smart cities leverage the Internet of Things (IoT) for improved urban living.
  • Mobile devices and augmented reality (AR) offer intuitive interfaces for complex systems.
  • Current AR applications in smart cities often rely on static markers for device identification.

Purpose of the Study:

  • To develop a novel method for enhancing smart city maintenance services.
  • To improve the accessibility and real-time data retrieval from urban IoT devices.
  • To integrate augmented reality (AR) with dynamic markers for seamless field service operations.

Main Methods:

  • Proposed a system combining IoT and AR for smart city maintenance.
  • Developed dynamic markers using LED communication for data transmission.
  • Utilized smartphone cameras to decode dynamic markers and retrieve information.
  • Replaced traditional static AR markers with a more efficient dynamic system.

Main Results:

  • Dynamic LED markers successfully replaced static AR markers.
  • Smartphone-decoded markers provided direct access to sensor data and object IDs.
  • Eliminated the need for additional network interaction for data retrieval.
  • Demonstrated improved accessibility and responsiveness in a smart city maintenance scenario.

Conclusions:

  • Dynamic LED markers offer a novel and efficient approach for smart city IoT device interaction.
  • This method enhances the usability of AR in urban maintenance by providing direct, network-independent data access.
  • The integration of dynamic markers with mobile AR has significant potential for future smart city applications.