Visible light-based open fire smoke rapid identification method and system

A recognition method, visible light technology, applied in the direction of character and pattern recognition, image data processing, program control design, etc., can solve problems such as differences, open fire smoke concentration, gray scale differences, and difficult to meet application requirements, etc., to achieve detection The effect of fast speed and accurate fire location

Pending Publication Date: 2020-07-03
上海金掌网络技术有限责任公司
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the wavelet analysis method is often only aimed at specific forms of open flame smoke, which is difficult to meet the application requirements of some specific occasions.
Although researchers have proposed different open flame smoke detection algorithms, due to the variety of shapes of open flame smoke, the concentration and gray level of open flame smoke produced by different combustion objects are very different, and the detection backgrounds are different. It is difficult to find features that can well describe the smoke of open flames in the image

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Visible light-based open fire smoke rapid identification method and system
  • Visible light-based open fire smoke rapid identification method and system
  • Visible light-based open fire smoke rapid identification method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0030] Embodiments of the present invention relate to a method for quickly identifying open fire smoke based on visible light, such as figure 1 As shown, the following steps are included: grayscale processing is performed on the acquired fire image to obtain a grayscale fire image; the spatial grayscale layer co-occurrence matrix method is used to calculate the texture feature information of the grayscale fire image; the graysc...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a visible light-based open fire smoke rapid identification method and system. The method comprises the following steps: carrying out graying processing on an obtained fire image to obtain a gray scale fire image; calculating texture feature information of the grayscale fire image by adopting a spatial grayscale layer co-occurrence matrix method; carrying out smoothing processing and gray stretching on the gray fire image; extracting a suspected flame shape in the image subjected to smoothing processing and gray stretching processing by adopting an edge extraction operator; calculating characteristic parameters of the extracted suspected flame shape; and judging whether the suspected flame shape is flame or not according to the obtained characteristic parameters. According to the invention, the detection speed and accuracy can be improved.

Description

technical field [0001] The invention relates to the technical field of fire alarm monitoring, in particular to a visible light-based rapid identification method and system for open fire smoke. Background technique [0002] Traditional fire alarm systems based on open flame smoke detectors have been widely used in fire prevention and control due to their high sensitivity to open flame smoke and low cost. However, due to its special working principle, that is, the detector must be in contact with a certain concentration of open flame smoke to alarm, making it unable to be used in large spaces and open-air environments. In addition, the time it takes for the fire smoke to spread to the alarm detector prolongs the discovery time of the fire smoke, which is not conducive to the early detection of the fire, and even if a fire is found, it is impossible to obtain evidence later. [0003] Computer vision mainly studies the method of obtaining information from image data. In the vid...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62G06T7/66G06F9/455
CPCG06T7/66G06F9/45533G06T2207/10016G06T2207/10024G06T2207/30232G06V20/52G06V10/95G06V10/443G06V10/56G06F18/24
Inventor 傅哲曹朋军林植坚
Owner 上海金掌网络技术有限责任公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap