Smart helmet tracker using an indoor positioning system accompanied with health monitoring system

Abstract

A smart helmet uses technology to analyze the user's health, the environment around them, and the status of their equipment. Since the Global Positioning System (GPS) has no visual contact with the GPS satellites inside a building, users of Safety Smart Helmet (SSH) inside buildings will act as interpreters to distinguish positions using Wi-Fi-based micro-controllers. The researchers implemented a Wireless Sensor Network (WSN) and an indoor positioning system (IPS) to accomplish this. To ensure their safety, access information about their status and conditions and floor-level positions that can be monitored in real-time. The Blynk IoT Platform facilitates various functions, including storage, compilation, notification sending, and provision of relevant addresses and data streams on displayed widgets. The smart helmet's overall weight was also considered to minimize user discomfort because it is headgear. The IoT Platform-based WSN conducted a one-sample t-test to quantify amounts. The results showed a t-test value and p-value of -0.409 and 0.685 for pulse, -1.101 and 0.280 for temperature, 0.514 and 0.611 for dust detection. Thus, the researchers were able to develop a helmet capable of transmitting reliable data about the floor level location as well as the current condition of the workers.