Cranium Guard Pro an IoT - Based Smart Helmet for Coal Miner's Safety

Abstract

Coal mining environments pose serious safety risks due to hazardous gases, extreme conditions, and potential underground accidents. The purpose of this study is to enhance miner safety by developing Cranium Guard Pro, an IoT-based intelligent helmet for real-time monitoring. The methodology involves integrating an ESP32 microcontroller with gas sensors, a temperature–humidity sensor, and an accelerometer to continuously collect environmental and motion data. The system processes this data to detect unsafe conditions such as gas leaks, abnormal temperature levels, or sudden movements indicating accidents, and alerts miners through a buzzer while transmitting data wirelessly to a remote monitoring station. The findings show that the system can effectively detect hazardous conditions and provide timely alerts, improving situational awareness. In conclusion, Cranium Guard Pro offers a reliable and efficient solution for enhancing safety in coal mining environments through continuous monitoring and rapid response capabilities.