Smart Safety Helmet Using ESP32

The design and evaluation of Smart Safety Helmet using ESP32 focuses on improving industrial worker safety by integrating Internet of Things (IoT) and embedded systems technology. Workers in construction sites, mining areas, and industrial environments are exposed to hazardous gases, high temperature, and accidental injuries that can lead to serious damage or loss of life. Traditional helmets provide only physical protection and lack monitoring capabilities. The proposed smart safety helmet integrates ESP32 microcontroller, gas sensor, temperature sensor, GPS module, and buzzer to monitor environmental and safety conditions in real time. The ESP32 collects sensor data and sends alerts to supervisors through wireless communication, ensuring quick emergency response. The system detects hazardous gas leakage, high temperature, and accident conditions and activates warning signals to protect workers. GPS module provides real-time location tracking, improving emergency management. The proposed system enhances industrial safety, reduces accidents, and ensures continuous monitoring of worker conditions. The evaluation of the system shows reliable performance in hazardous environments with accurate sensor detection and fast response time. The smart safety helmet is cost-effective, energy efficient, and suitable for industrial safety applications.