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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.
Sensors (Basel, Switzerland)
|November 13, 2025
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.
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.
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