Image-type fire detection method based on cumulative prospect image

A technology of foreground image and fire detection, which is applied to fire alarms, instruments, characters and pattern recognition that rely on radiation effects, can solve problems such as inability to effectively remove complex light interference, achieve good real-time detection effects, save time, The effect of reducing economic loss

Active Publication Date: 2012-10-17
SHENYANG FIRE RES INST OF MEM
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, moving historical images cannot effectively remove the interference of complex lights. At present, the development and promotion of image flame detection technology is limited by its false alarm rate. The main sources of interference come from complex lights such as sunlight, stage lights, and moving car lights. background light

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  • Image-type fire detection method based on cumulative prospect image
  • Image-type fire detection method based on cumulative prospect image
  • Image-type fire detection method based on cumulative prospect image

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Embodiment Construction

[0029] The present invention will be further described below in conjunction with the drawings.

[0030] figure 1 A schematic diagram of the system structure of the present invention is given, in which the hardware performance parameters of the system are as follows:

[0031] Surveillance camera D:

[0032] ●Processing chip: 1 / 4 inch Sony chip Sonysuper HAD CCD.

[0033] ● CCD total pixels 795 (H) × 596 (V).

[0034] ●Scanning system 625 lines, 50 fields / sec.

[0035] ●The resolution is 480 lines.

[0036] ●Minimum illumination 0.7Lux (color), 0.002Lux (field accumulation), 0Lux (infrared light).

[0037] ●The signal-to-noise ratio is greater than 48dB.

[0038] ●Electronic shutter 1 / 50~1 / 100000 seconds continuous.

[0039] ●The lens is 18 times optical magnification (f=4.0~72mm).

[0040] ●Magnification function 216 times (18 times optical × 12 times digital).

[0041] ●Working temperature / humidity is below -20℃~50℃ / 80%RH.

[0042] ●Working voltage 12VDC.

[0043] ●Outer dimensions 115mm×60mm×66...

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Abstract

The invention provides an image-type fire detection method based on a cumulative prospect image, builds the cumulative prospect image, and is used for real-time detection of a fire image. The method comprises the following steps of: extracting the cumulative prospect image obtained by a monitoring camera through a computer; blocking the image; counting brightness values of all pixels of each image block in the cumulative prospect image; judging according to preset sensitivity; and sending out a warning signal if a fire is detected, otherwise returning to the initial steps to continuously process next frame image. According to the method, the definition of historical motion images is changed to obtain the cumulative prospect image, and the cumulative prospect image can be used for reflecting active characteristics of fire flame better and greatly reducing false alarm rate and has good anti-noise capability. Moreover, the method has the advantages of simpler arithmetic principle, low computation and quite good real-time performance and can meet the requirement of the conventional image-type fire detection technology for the real-time performance.

Description

Technical field [0001] The invention belongs to the technical field of fire detection, in particular to computer image processing and video fire detection, and in particular to an image-type fire flame detection method. Background technique [0002] Image-based fire detection technology here means that only the visible waveband CCD camera image data is used for processing, and the flame images of other wavebands such as infrared waveband are not considered. Image-based fire detection technology uses CCD cameras to monitor the surveillance site and the captured video images are compressed and decoded by the data acquisition card and then transmitted to the control computer, and then use advanced computer processing algorithms to analyze and identify flames and smoke online. The spectrum characteristics, chromaticity characteristics, texture characteristics, and motion characteristics of the image during the combustion process during a fire are modeled and processed to form a compu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08B17/12G06K9/00
Inventor 于春雨梅志斌张曦
Owner SHENYANG FIRE RES INST OF MEM
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