Design of an Adaptive IoT-Driven Safety Headgear for Dynamic Hazard Detection on Construction Sites

Abstract

In response to the alarming rate of workplace accidents in Malaysia's construction sector, peaking at 326 incidents before the COVID-19 pandemic, this project aims to introduce innovative safety measures. The primary goal is to enhance worker safety through the implementation of an adaptive IoT-driven safety headgear often worn by construction workers. Equipped with advanced sensors such as gas, temperature, and light sensors, alongside ESP32 technology, these safety headgears automatically activate upon being worn, enabling real-time monitoring and data transmission to supervisors. Methodologically, extensive modifications were made to standard safety headgear, integrating sophisticated sensor systems and connectivity components. Field testing involved rigorous assessments in diverse construction environments to gauge the effectiveness of the smart helmets in detecting and responding to emergencies. Key findings revealed significant improvements in response times and accident mitigation rates, demonstrating the transformative potential of IoT-enabled safety solutions. Beyond immediate safety benefits, the project holds promise for fostering a culture of heightened safety awareness and proactive risk management within the construction industry, thereby contributing to sustained improvements in workplace safety practices.