Crowd Monitoring System With Iot And Cloud Integration

Authors

  • Ms. K. Madhavi, Ms. H. Mamtha, Mr. B. Nikhil B. Tech. Students, Dept. Of Information Technology, J. B. Institute Of Engineering And Technology, Hyd. Author
  • Mrs. S. Anusha Assistant Professor, Dept. Of Information Technology, J. B. Institute Of Engineering And Technology, Hyd. Author

Keywords:

IoT, Crowd Management, Occupancy Monitoring, Smart Buildings, IR Sensors, NodeMCU, Blynk App.

Abstract

The rapid growth in urbanization and increasing population in public spaces such as shopping malls, educational institutions, offices, and transportation hubs, effective crowd management has become essential. Smart cities require intelligent monitoring systems to ensure safety, avoid overcrowding, and maintain smooth movement of people within premises. A Smart Crowd Management System using IoT enables real-time monitoring of occupancy levels and provides timely alerts when crowd density exceeds safe limits. By integrating sensors, microcontrollers, and cloud-based applications, such systems help authorities track the number of people inside a facility and manage space utilization efficiently. The system can generate alerts when the occupancy reaches a predefined threshold and provide live updates through IoT platforms. This improves safety, enhances operational efficiency, and supports better decision-making in public and private infrastructures. IoT-based crowd monitoring solutions are cost-effective, scalable, and suitable for modern smart building environments.

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Published

2026-04-24

Issue

Section

Articles

How to Cite

Crowd Monitoring System With Iot And Cloud Integration. (2026). International Journal of Engineering and Science Research, 16(2), 658-665. https://ijesr.org/index.php/ijesr/article/view/1670

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