Flame Location Detection Using Pixel Coordinate Variation
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Solution Overview
Problem
Existing flame detectors fail to accurately pinpoint the location of a flame source within a field of view, making it difficult to identify the fire's exact location when an alarm is triggered.
Innovation Solution
A flame detection system that includes a flame detector and an image capturing device, coupled with processors to analyze a sequence of images, determines the base Y-coordinate, tip Y-coordinate, left-most X-coordinate, and right-most X-coordinate of pixels associated with the flame, using predefined limits to identify the flame's location within the field of view, and optionally synchronizes flickering frequencies to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If flame detection is performed using traditional sensors, then flame presence can be detected, but the exact location of the flame source cannot be pinpointed
Solution Approach 1:
The patent combines a flame detector with an image capturing device (camera) into an integrated system. The flame detector identifies flame presence while the image capturing device records visual information, and their coordination enables precise location identification by mapping flame detection signals to specific regions in captured images.
Solution Approach 2:
The processor acts as an intermediary that receives data from both the flame detector and image capturing device, processes this information, and determines the flame location by correlating detection signals with image coordinates. This intermediary processing layer enables precise location identification without requiring direct physical measurement of flame position.
2Measurement precision
If image processing is used to identify flame location, then location precision improves, but processing time and computational load increase
Solution Approach 1:
The system captures a sequence of images and performs preliminary processing to identify pixels associated with the flame. By pre-processing images to identify flame-related pixels and their coordinates before final location determination, the system reduces the computational burden during critical detection phases and speeds up location identification.
Solution Approach 2:
The patent segments the image processing task by identifying specific pixels associated with the flame rather than analyzing the entire image. By focusing computational resources only on flame-related pixels and their coordinates (base Y-coordinate, tip Y-coordinate, left-most X-coordinate, right-most X-coordinate), the system achieves precise location identification with reduced processing time.
3Measurement precision
If coordinates are determined for each image in a sequence, then flame location accuracy improves, but data processing complexity increases
Solution Approach 1:
The system dynamically processes a sequence of images rather than static single images. By analyzing multiple frames and tracking coordinate variations (base Y-coordinate variation less than predefined limit, tip Y-coordinate or X-coordinate variation more than predefined limit), the system adapts to flame movement and identifies stable location patterns, improving accuracy while managing complexity through dynamic threshold-based filtering.
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
The system accurately identifies the flame's location within the field of view by analyzing pixel coordinates and flickering frequencies, enabling precise flame detection and reducing response time to fire incidents.
Implementation Method 1
at least one image capturing device is configured to capture a sequence of images of the flame within the FoV
Data Source
AI summary
A flame detection system is disclosed. The flame detection system comprises one or more processors coupled to at least one flame detector and at least one image capturing device. The one or more processors identify a location of a flame by determining a base Y-coordinate, a tip Y-coordinate, a left-most X-coordinate, and a right-most X-coordinate of the plurality of pixels associated with the flame; determining that the base Y-coordinate of a most current image of the sequence of images varies less than a predefined limit of height of the flame; and determining that the tip Y-coordinate of the most current image of the sequence of images varies more than the predefined limit of height of the flame, or the left-most X-coordinate or the right-most X coordinate of the most current image of the sequence of images varies more than a predefined limit of width of the flame.