IoT-Integrated Crowd Density Mapping for Emergency Evacuations
Abstract: This project presents an IoT-based crowd density mapping system designed to enhance safety during emergency evacuations. Using YOLOv5 for real-time people detection, the system monitors crowd levels and triggers alerts when thresholds are exceeded. An ESP32 microcontroller controls indicators, doors, and notifications based on the detected density. The solution enables faster decision-making and effective crowd management in public spaces.
Keywords: Crowd Detection, YOLOv5, IoT, Emergency Evacuation
How to Cite:
[1] Nithin M, Siri H N, Suhaschandra C, Thoshitha M, Mrs Latha S, “IoT-Integrated Crowd Density Mapping for Emergency Evacuations,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2025.121222
This work is licensed under a Creative Commons Attribution 4.0 International License.