Video Smoke Detection via Pixel Displacement Analysis
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Solution Overview
Problem
Conventional smoke detection systems face challenges in accurately detecting smoke in large areas, such as high and large-area buildings, due to restricted detection ranges, high costs, and frequent false alarms, making early fire detection and prevention difficult.
Innovation Solution
A smoke detecting method and system that captures images to identify moving objects and analyzes their direction and displacement, using superimposed images to determine if the object is moving towards a specific direction with minimal displacement, thereby distinguishing smoke from other objects and reducing false alarms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If photoelectric smoke detector is used, then smoke detection is achieved, but the detecting range is restricted and cannot effectively detect smoke in large areas
Solution Approach 1:
The patent transitions from point-based photoelectric detection to area-based video image analysis. By capturing images across the entire monitoring area and analyzing pixel changes, the system achieves comprehensive coverage of large spaces while maintaining detection accuracy through multi-pixel comparison and smoke feature recognition algorithms.
2Measurement precision
If air sampling smoke detector is used, then smoke detection is achieved, but duct systems and expensive sensors are required
Solution Approach 1:
The patent extracts the smoke detection function from complex dedicated detection systems and integrates it into existing video monitoring infrastructure. By analyzing ordinary video images for smoke characteristics, the system eliminates the need for specialized duct systems and expensive sensors while maintaining effective smoke detection capability.
Solution Approach 2:
The patent makes the existing video monitoring system serve dual purposes: general security surveillance and specific smoke detection. The same camera and processing system used for monitoring can now also detect smoke by analyzing pixel changes and movement patterns, eliminating the need for separate detection equipment.
3Reliability
If conventional smoke detecting devices are used, then smoke detection is achieved, but false alarms occur frequently due to low accuracy
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors pixel changes across multiple images and uses algorithms to distinguish smoke patterns from other moving objects. By analyzing the characteristics of pixel changes over time and comparing them against smoke features, the system reduces false alarms while improving detection reliability.
Solution Approach 2:
The patent utilizes color and brightness changes in video images as key indicators for smoke detection. By monitoring variations in pixel color values and brightness levels across sequential frames, the system can identify the characteristic appearance and movement of smoke, thereby improving accuracy and reducing false alarms.
4Measurement precision
If visual smoke detecting device uses many parameters for analysis, then smoke detection speed and accuracy are improved, but false alarms still occur due to insufficient parameters
Solution Approach 1:
The patent employs multiple smoke detection parameters including pixel brightness changes, color variations, movement speed, and displacement distance. By setting threshold values for these parameters and requiring multiple conditions to be met simultaneously, the system achieves high detection accuracy while minimizing false alarms through comprehensive parameter analysis.
Data Source
AI summary
A smoke detecting method and system are provided. The smoke detecting method and system capture a plurality of images; determine whether a moving object exists in the plurality of images; select the images having the moving object to be analyzed; analyze whether the moving object is moving toward a specific direction and a displacement of a base point of the moving object; and determine the moving object as a smoke when the moving object is moving toward the specific direction and the displacement is less than a threshold value.