Proceeding of International Conference on Digital, Social, and Science
Predicting The Detection Delay Of An ESP32-Based Fire Detection System Using Flame Sensor, MQ-2 Sensor, And Multiple Linear Regression.
Fire is one of the most common non-natural disasters that can cause significant material losses and threaten human safety. Therefore, an effective fire detection system is required to provide early warnings and minimize potential risks. This study proposes an Internet of Things (IoT)-based fire detection system integrated with a Flame Sensor, an MQ-2 gas sensor, an ESP32 microcontroller, the Blynk platform, and Telegram notifications for real-time monitoring and early warning. A Multiple Linear Regression model was …