Khalid, Syed GhufranAlshammari, Faissal Thowaini2025-10-192025https://hdl.handle.net/20.500.14154/76671This project presents the design, development, and testing of a Smart Safety Helmet that integrates real-time gas detection and GPS-based location tracking using LoRaWAN technology for long-range, low-power communication. The system is aimed at enhancing occupational safety in hazardous environments such as construction sites, chemical facilities, and mining operations where exposure to combustible gases poses a significant risk. The device is built around the SAMD21 microcontroller, integrating an MQ-5 gas sensor to detect the concentration of liquefied petroleum gas (LPG) in the surrounding air. A GPS module (Air530) provides geolocation data, while a Grove LoRa-E5 module enables wireless transmission of sensor data to The Things Network (TTN), a LoRaWAN-based infrastructure. The data is decoded using a custom uplink payload formatter and visualized on the Datacake IoT dashboard, which provides real-time LPG concentration readings and live location tracking via an embedded map interface. The methodology involved iterative hardware prototyping, Arduino-based firmware development, payload encoding/decoding, and dashboard configuration. Field testing confirmed that the system could reliably measure LPG levels under typical ambient conditions and transmit this data alongside GPS coordinates at 30-second intervals. The results demonstrate that the helmet can function autonomously without direct USB power, making it suitable for mobile use. Key contributions include high-accuracy gas monitoring, reliable geolocation data, and end-to-end cloud-based visualization. The project highlights the viability of integrating low-power embedded systems with IoT infrastructure for improving worker safety. Limitations related to GPS availability and LoRa signal strength in obstructed environments were also observed, offering opportunities for future enhancement.44enSmart safety helmetGPSLoRaWAN TechnologycommunicationSAMD21 MicrocontrollerMQ-5 gas sensorGPS Module (Air530)The Things Network (TTN)Datacake IoT DashboardLocation TrackingCloud-based visualizationSmart Safety Helmet with LoRaWAN and Cloud-based Visualization for Real-time Gas Detection and Location Tracking MonitoringThesis