Arduino-based Smart Fire Detection System Using Infrared and Gas Sensors

Abstract

Fire and gas hazards pose significant risks to safety and property. This project develops an advanced Fire and Gas Detection System using an Arduino microcontroller with IR and MQ-135 gas sensors. The system detects fire and gas leaks, alerting users via LED and buzzer signals while displaying real-time sensor data on a serial monitor. The integration of hardware and software enhances detection accuracy while reducing false alarms. Its modular design allows additional sensors and future upgrades like mobile app integration. A hybrid approach using precise sensor readings and machine learning-based threshold adjustments enhances safety across various applications.