Intelligent Coal Mine Safety and Real-Time Worker Health Monitoring System

This paper proposed an AI-based Smart Safety Helmet designed to improve worker safety in mining and hazardous environments. The system uses ESP32, sensors, GPS, buzzer, ESP32-CAM, and YOLO AI to monitor the worker and surrounding conditions. The helmet monitors heart rate, temperature, gas, and fire-related conditions and provides alerts when unsafe conditions are detected. The camera and AI model support visual safety monitoring, while the real-time dashboard allows supervisors to monitor the worker remotely. The prototype shows that IoT, AI, sensors, and GPS can be combined to create a practical safety system. In the future, the system can be improved through better AI accuracy, sensor calibration, wireless reliability, battery backup, and real-world testing.

[1]       A. Aditya S., T. Manisundhar, and M. P. V. Manitha, “Smart Mining Helmet for Enhancing Miners Safety and Operational Efficiency,” 2025 3rd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA), IEEE, 2025, doi: 10.1109/AIMLA63829.2025.11040698. [2]       “IoT based Smart Helmet for Automated and Multi-parametric Monitoring of Underground Miners’ Health Hazards,” 2022 IEEE 15th Dallas Circuit and System Conference (DCAS), IEEE, 2022, doi: 10.1109/DCAS53974.2022.9845621. [3]       V. N. G. Reddy, M. V. V. Reddy, A. Panigrahi, and D. C. H. Bhupathi, “Smart Helmet for Mining Workers Using IoT,” International Journal of Environmental Sciences, 2025. [4]       R. Kanagavalli, P. S. V., S. B. T., D. B. C., and A. R. Bhat, “Smart Mining Helmet: An IoT-Based Automated Safety Monitoring, Hazard Detection, and Worker Protection System,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), vol. 14, no. 12, 2025, doi: 10.17148/IJARCCE.2025.1412147. [5]       V. Y. R. Kalpana et al., “Smart Mining Helmet with Health & Safety Monitoring using ESP32 and IoT,” International Journal of Scientific Research in Engineering, Applied Science & Technology (IJSREAT), vol. 6, no. 4, 2026, pp. 88–92, doi: 10.59256/IJSREAT.20260604010. [6]       K. Bidkar, K. Rathod, R. Shaikh, R. Badki, S. Meche, and H. Sahare, “Smart Helmet for Mine Workers,” International Journal of Data Science and IoT Management System, vol. 5, no. 1, 2026, pp. 1–4 [7]       J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, “You Only Look Once: Unified, Real-Time Object Detection,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, pp. 779–788 [8]       G. Jocher, A. Chaurasia, and J. Qiu, “Ultralytics YOLOv8,” Ultralytics, version 8.0.0, 2023. [9]       Espressif Systems, “ESP32 Series Datasheet,” Espressif Systems. [10]     Espressif Systems, “ESP32 Technical Reference Manual,” Espressif Systems.