Image Processing Fire Detection Using RGB Chromatic Analysis
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Solution Overview
Problem
Existing fire detection technologies face limitations such as high false alarm rates and inability to provide early detection, as they often require proximity to the fire and lack information on flame location, size, and growth rate, making them unreliable and unsuitable for all environments.
Innovation Solution
A flame and smoke detection method and system based on image processing that captures images, detects flame and smoke pixels using RGB color model analysis, and employs fuzzy logic to validate pixels as real flames or smoke, generating alarm information based on pixel characteristics and growth patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional fire detection technologies (temperature sampling, smoke analysis, ultraviolet/infrared detectors) are used, then detection can be achieved in specific conditions, but false alarms increase and early detection capability is lost
Solution Approach 1:
The patent segments the fire detection process into multiple independent analysis dimensions: color space analysis (HSI model), temporal analysis (frame-by-frame comparison), spatial analysis (flame pixel distribution), and growth rate analysis. Each dimension processes specific features independently, and only when multiple dimensions confirm fire characteristics does the system trigger an alarm, thereby reducing false alarms while maintaining high reliability
Solution Approach 2:
The patent transforms the detection approach by changing from traditional single-parameter detection (temperature, smoke concentration) to multi-parameter analysis including color hue, saturation, intensity, flame pixel count, growth rate, and spatial distribution. This parameter transformation enables the system to distinguish real fires from false alarm sources by analyzing multiple characteristics simultaneously
2Measurement precision
If traditional detection devices are positioned close to potential fire sources, then detection sensitivity improves, but application versatility is limited
Solution Approach 1:
The patent creates a universal detection system that can be deployed in diverse environments (kitchens, forests, industrial areas, residential spaces) by using an image capturing device that detects visual characteristics of fires regardless of location. The system adapts to different fire types and environments through configurable parameters and multi-dimensional analysis, eliminating the need for proximity-based installation while maintaining high detection sensitivity across all application scenarios
3Ease of manufacture
If traditional temperature-based detection is used, then detection is simple to implement, but early detection is impossible as devices only activate after significant temperature increase
Solution Approach 1:
The patent implements preliminary detection by continuously monitoring visual characteristics (color, shape, growth pattern) before temperature significantly rises. The system performs frame-by-frame image analysis to detect emerging fire characteristics in their early stages, enabling alarm notification before traditional temperature-based devices would activate, thus providing early warning while maintaining implementation simplicity through standard image processing techniques
Data Source
AI summary
Fire detection and smoke detection use an image capturing device to obtain images from a predetermined area and adopt an RGB (red, green, blue) color model based chromatic and disorder measurement for extracting flame pixels and smoke pixels. The extracted pixels are inputted to a fire detection fuzzy alarm system to generate an output of alarm information. Based on iterative checking on the growing ratio of the alarm information, a fire alarm is released accordingly.