Flame Detection via Video Flicker Analysis
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Solution Overview
Problem
Conventional fire detection systems, especially in large and high areas, face challenges such as slow reaction times and high costs due to the need for numerous sensors and wiring, and existing video-based systems often struggle with computation burden and detection performance when distinguishing flame objects from non-flame ones.
Innovation Solution
A method utilizing spatial motion analysis in image processing to detect flames, where the flickering state of a bright object is determined by analyzing the motion of its upper and lower edges, with specific thresholds to confirm the presence of a flame, reducing computational effort and improving detection efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If conventional fire detectors are deployed in large and high areas, then detection coverage is improved, but system cost and complexity increase due to numerous sensors and wiring
Solution Approach 1:
The patent replaces conventional sensor-based mechanical detection systems with a video-based optical detection system. Instead of deploying numerous temperature or smoke sensors with wiring infrastructure, the system uses standard video cameras to capture images and detects flames through image processing algorithms that analyze color features and temporal flickering characteristics, thereby reducing system complexity and installation costs while maintaining or improving detection coverage in large and high areas
Solution Approach 2:
The patent enables video cameras to serve multiple functions: standard security monitoring and flame detection. By processing video streams through flame detection algorithms that analyze color histograms and temporal flickering patterns, the same camera infrastructure can provide both security surveillance and fire safety detection, eliminating the need for dedicated fire detection sensors and reducing overall system complexity
2Reliability
If conventional fire detectors are installed indoors, then detection capability is provided, but response time increases and cost increases due to large number of sensors and wiring
Solution Approach 1:
The patent replaces slow-responding conventional fire detectors with video-based detection that processes frames in real-time. The system captures video streams and immediately analyzes each frame for flame characteristics using color histogram comparison and flickering frequency detection, enabling faster response times without the latency associated with sensor signal processing and wiring transmission
Solution Approach 2:
The patent implements continuous flame detection by processing video frames in real-time as they are captured. The system continuously compares color histograms of current frames with reference flame color profiles and continuously monitors temporal flickering patterns, ensuring uninterrupted detection capability and minimizing response time compared to periodic sampling methods
3Speed
If video-based detection systems are used, then response time and detection area are improved, but computation burden increases when distinguishing flame from non-flame objects
Solution Approach 1:
The patent segments the flame detection task into distinct processing stages: color histogram extraction from video frames, flickering frequency analysis through temporal comparison, and classification based on combined color and motion features. This segmentation allows the system to process only relevant features rather than analyzing entire images, reducing computational burden while maintaining fast response times
Solution Approach 2:
The patent applies local quality analysis by focusing computational resources on detecting specific flame characteristics rather than processing entire images uniformly. The system extracts color histograms that capture dominant colors in regions of interest and analyzes flickering patterns in temporal sequences, concentrating computation on discriminative features that indicate flame presence while ignoring redundant information
4Measurement precision
If color-based and flickering frequency-based methods are used for flame detection, then detection performance is improved, but computation burden increases
Solution Approach 1:
The patent merges color-based detection and flickering frequency-based detection into a unified flame detection framework. The system combines color histogram analysis that identifies flame-specific color patterns with temporal flickering analysis that detects characteristic oscillation frequencies, creating a composite detection mechanism that leverages both features simultaneously to improve accuracy while sharing computational resources between the two analysis streams
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly accelerates response time, enhances detection accuracy, and reduces false alarms, making it suitable for high and large areas while maintaining ease of maintenance and low costs.
Implementation Method 1
a camera to capture a plurality of images of a monitored area
Data Source
AI summary
A method and system for detecting flames are provided. The flame detection method based on image processing techniques performs the following steps to detecting flames. It first finds one or more bright objects in the images that are captured from videos. A flickering state of a bright object is then determined. To verify the existence of a flame, additionally subsequent images from the instant that a bright object first appears are utilized and the similar steps are applied to them. Finally a flame could be detected if the analyzed results are positive after the aforementioned steps have been performed.