| dc.description.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. | en_US |
