Smoke detection method

A detection method and smoke technology, applied in the field of visual detection, can solve the problems of unstable smoke color, shape, area, direction, low detection accuracy, and difficulty in extracting features, so as to overcome morphological instability and reduce fire spread. , the effect of improving the correctness

Inactive Publication Date: 2019-10-11
JIANGXI HONGDU AVIATION IND GRP
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Problems solved by technology

[0004] However, in the prior art, the frame difference method is used to detect moving objects on video images, and feature detection or feature fusion detection is performed on features such as the area, color, direction or shape of the m

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[0042] In order to deepen the understanding of the present invention, the present invention will be described in further detail below in conjunction with embodiments and drawings. The embodiments are only used to explain the present invention and do not constitute a limitation on the protection scope of the present invention.

[0043] The method of the present invention includes 5 steps:

[0044] 110. Video stream access: read the video stream from the front-end camera device or local video file, decode the accessed video stream, and obtain frame video images.

[0045] 120. Video image preprocessing: Use image preprocessing technology to preprocess the acquired video images to improve the accuracy of later smoke detection.

[0046] 130. Moving target detection based on background modeling: Use a background modeling method to detect foreground moving targets on a video image, and extract all candidate targets.

[0047] 140. Deep convolutional neural network target classification: use the...

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Abstract

The invention discloses a smoke detection method. The smoke detection method comprises the following steps of: video stream access: reading a video stream from a front-end camera device or a local video file, and decoding the accessed video stream to obtain a frame video image; video image preprocessing: preprocessing the acquired video image by using an image preprocessing technology to improve the accuracy of later-stage smoke detection; detection of a moving object based on background modeling; target classification based on a deep convolution neural network; and video smoke target calibration: recording the position of an image block determined to be smoke, and marking the area of the smoke in the video. The method integrates the advantages of a deep convolution neural network and a background difference method, so that the smoke is accurately and real-timely detected and positioned, the false detection rate is effectively reduced, the smoke in the video can be early warned in realtime, and the method has an important significance and an application value.

Description

technical field [0001] The invention relates to the technical field of visual detection, in particular to a smoke detection method. Background technique [0002] Human beings have struggled with fire for a long time, accumulated a lot of experience in fire prevention and fire extinguishing, gradually mastered the combustion mechanism, combustion conditions and development process of fire, and created various fire prevention and fire extinguishing methods. According to changes in physical quantities such as smoke, gas, and temperature, various smoke detectors are designed using temperature sensing, smoke sensing, light sensing, gas detection, and composite detection. However, the smoke detector is limited by the space due to its own characteristics, and has the following disadvantages: 1) it needs to be detected after the smoke arrives; 2) in a large indoor environment, the smoke will be cooled by the surrounding air after rising to a certain height, and even Staying in the ...

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Application Information

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IPC IPC(8): G08B17/12G06K9/00G06K9/62
CPCG08B17/125G06V20/40G06F18/214
Inventor 应艳丽贠周会谢吉朋叶超王欣欣吴斌王旭黄江林赖泽伟
Owner JIANGXI HONGDU AVIATION IND GRP
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