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Wide-Area Visual Monitoring System Based on NB-IoT.

Guohua Qiu1,2, Weiyu Tao1, Rey-Chue Hwang3

  • 1School of Electronic and Mechanical Engineering, Fujian Polytechnic Normal University, Fuzhou 350300, China.

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|November 13, 2025
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Summary

This study introduces an integrated system for real-time wide-area surveillance using Narrowband Internet of Things (NB-IoT) and 5G. The intelligent monitoring system achieves over 98% accuracy in detecting unexpected events.

Keywords:
CoAP ProtocolMQTT ProtocolNB-IoTdetectionimagemonitoring

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wide-area surveillance faces challenges in detecting unexpected events effectively.
  • Advancements in Narrowband Internet of Things (NB-IoT) and 5G offer potential solutions for intelligent monitoring systems.

Purpose of the Study:

  • To present an integrated architecture for real-time event detection and response in wide-area surveillance.
  • To leverage NB-IoT and 5G technologies for enhanced monitoring capabilities.

Main Methods:

  • Utilized Constrained Application Protocol (CoAP) for image transmission from NB-IoT modules to an IoT server.
  • Employed Message Queuing Telemetry Transport (MQTT) and WebSocket for data transfer to client applications.
  • Implemented temporal image comparison for anomaly detection and generated visual alerts.

Main Results:

  • Achieved image recognition accuracy consistently above 98% for event detection.
  • Demonstrated a scalable and responsive system for wide-area surveillance.
  • Successfully identified and alerted on abnormal events in real-time.

Conclusions:

  • The proposed integrated architecture enables intelligent, scalable, and reliable wide-area surveillance.
  • This approach overcomes limitations of conventional isolated and passive monitoring systems.
  • The system provides a robust foundation for real-time event detection and response using modern IoT technologies.