A Smart IOT Based Emergency Detection System

Abstract

This project aims to create a Smart IoT-Based Emergency Detection System that can identify hazardous environmental conditions in real-time. The system is designed to reduce response time during emergencies and enhance safety in residential, industrial, and public environments. The system uses an ESP32 Dev Kit microcontroller with low power consumption and Wi-Fi capabilities. It integrates various environmental sensors to monitor conditions in real-time. Upon detecting abnormal values, the system activates local alerts via a buzzer and LCD display, and sends remote alerts via a GSM module via SMS. Cloud integration using the Blynk IoT platform allows data visualization and control via mobile applications. The system responds accurately to hazardous conditions and reliably sends alerts within seconds. The project extends to smart homes, factories, schools, hospitals, and warehouses, laying the foundation for future AI-based risk prediction and integration with centralized emergency management systems.