MATLAB Fire Flame and Smoke Detection System with Source Code

This MATLAB-based fire detection system achieves efficient early warning through geometric feature analysis of flames and smoke. The system utilizes image processing techniques to extract dynamic regions from surveillance footage, employing key parameters such as area growth rate and shape angles to differentiate between flames and smoke. The GUI interface provides real-time monitoring and alarm feedback, simplifying operational workflows. The core algorithm calculates diffusion rates and contour characteristics of target regions, effectively reducing false alarm rates, making it suitable for various indoor and outdoor environments.

Design highlights include dynamic threshold segmentation technology optimized for target extraction in complex backgrounds, and a multi-parameter fusion decision model that enhances detection accuracy. The system can be extended into intelligent security linkage modules, integrating with sprinkler systems or alarm centers. Compared to traditional sensor-based approaches, this non-contact detection solution offers advantages of faster response times and broader coverage area.

Key implementation aspects include: Using MATLAB's Image Processing Toolbox for real-time frame analysis; Implementing morphological operations for noise reduction; Calculating region properties through bwconncomp and regionprops functions; Applying Otsu's thresholding method for adaptive segmentation; Designing decision rules based on color space analysis in HSV/RGB domains; Creating callback functions for GUI controls to manage video input and alarm triggers.