Emergency Response System using Internet of Things and Cloud Computing

Abstract

Industrial workplaces are prone to safety incidents such as hazardous gas exposure, abnormal physiological conditions and falls, where delayed detection and limited real-time visibility can hinder timely response. This paper presents the development of an IoT-based Emergency Response System (ERS) wristband for industrial safety that enables continuous monitoring of environmental and worker physiological parameters, cloud-based data logging and real-time alerting. The system integrates distributed sensors and a wearable platform (Wemos D1 Mini with MAX30102, BMP280, MQ2 and ADXL345), transmitting data to the ThingSpeak cloud and presenting status to supervisors through a Windows Forms dashboard with threshold-based warning indicators. Experimental validation against reference instruments shows an average heart-rate deviation of 1.87 bpm, SpO₂ deviation of 1.27%, temperature deviation of 1.28°C and pressure deviation of 5.13 hPa, demonstrating reliable sensing performance for non-clinical industrial monitoring. Overall, the ERS provides a scalable framework for real-time safety monitoring and hazard notification, supporting improved situational awareness and future integration of predictive analytics.