IMAGE PROCESSING BASED FIRE DETECTION SYSTEM (KEY IJP************331)

• Pethota Swaroopa,Ravilla Vasavika,Pitla Vasu,Nalla Rohith Reddy,Shaik Nasreen Gousia

Abstract

The rapid pace of urbanization has heightened the risk of fire hazards, necessitating more effective fire detection methods. Existing systems, relying on conventional alarms and basic sensors, often suffer from delayed response times and false alarms. To address these limitations, we propose an Image Processing-Based Fire Detection System that harnesses advanced technologies to enhance accuracy and response. Central to our system is the integration of a Raspberry Pi microcomputer with a high-resolution camera, enabling real-time image capture and processing. Leveraging sophisticated image processing algorithms, the system analyzes captured images to identify fire patterns, smoke presence, and hazardous fire spread. Its intelligent decision-making mechanism discerns genuine fire incidents from false triggers, ensuring reliable alerts. In the event of a fire, the system triggers alarms and dispatches instant SMS notifications to designated responders. This innovative approach, combining Raspberry Pi, advanced image processing, and real-time communication, offers a robust and adaptable solution for mitigating fire hazards and enhancing safety in evolving urban landscapes.