Flame detection and identification method with low calculation amount
A flame detection and identification method technology, which is applied in the field of flame detection and identification with low computational load, can solve the problems of high cost, large software calculation amount, and increase of servers, etc., and achieves the effect of increasing the running speed, increasing the detection distance, and reducing the hardware requirements.
Inactive Publication Date: 2018-12-18
深圳市中安盈科科技有限公司
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[0003] However, the calculation amount of the software in the above method is too large, and the current hardware cannot support the calculation of more than 8 channels of video images at the same time. That is to say, for flame recognition, a server can only support 8 channels of video flame analysis at most. Monitor more areas, or increase the number of servers, or reduce software computing performance
To sum up, the existing flame detection and recognition methods have high requirements on the hardware processing capacity of the server, resulting in high cost technical problems. minor technical issues
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[0016] The following description and drawings illustrate specific embodiments of the invention sufficiently to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, process, and other changes. The examples merely represent possible variations. Individual components and functions are optional unless explicitly required, and the order of operations may vary. Portions and features of some embodiments may be included in or substituted for those of other embodiments. The scope of embodiments of the present invention includes the full scope of the claims, and all available equivalents of the claims.
[0017] Such as figure 1 As shown, in some illustrative embodiments, a method for flame detection identification with low computational load is provided, including:
[0018] 101: The red-ultraviolet flame detector measures the light signal in the environment according to the sunlight sensor and the infrared sensor, as a ...
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The invention provides a flame detection and identification method with low calculation amount. The flame recognition of a red ultraviolet flame detector is completed in a graphics processing unit (GPU) of a front end flame detector, and flame image recognition limited by excessively-large software and excessive occupied resources is completed in a central control computer at the back end. After the red ultraviolet flame detector detects the flame, the image flame recognition software in a dormant state is started. The red ultraviolet flame detection technology is combined with the image flamedetection technology for cooperative working, the accuracy of detection distance, detection angle and detection is improved effectively, the operating speed of a detection system is greatly increased, and hardware requirements for the server end are greatly reduced. The monitoring area supported by the same server is infinitely expanded in theory, and the whole process of flame detection and analysis has the advantages of fast processing and high efficiency.
Description
technical field [0001] The invention belongs to the technical field of flame detection, and in particular relates to a method for flame detection and recognition with low calculation load. Background technique [0002] The current flame detection and identification method is to collect real-time visible light images through the camera, analyze and identify the flame based on computer software, and then give an alarm signal. [0003] However, the calculation amount of the software in the above method is too large, and the current hardware cannot support the calculation of more than 8 channels of video images at the same time. That is to say, for flame recognition, a server can only support 8 channels of video flame analysis at most. Monitor more areas, or increase the number of servers, or reduce software computing performance. To sum up, the existing flame detection and recognition methods have high requirements on the hardware processing capacity of the server, resulting i...
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IPC IPC(8): G08B17/12
CPCG08B17/12G08B17/125
Inventor 王永福
Owner 深圳市中安盈科科技有限公司