Flame detection device based on video image analysis

A flame detection device and video image technology, applied in the field of intelligent fire monitoring, can solve the problems of slow calculation speed, high operating cost, high misjudgment rate, etc., and achieve the effects of high flame detection accuracy, wide application range and fast response speed

Inactive Publication Date: 2013-03-27
镇江石鼓文智能化系统开发有限公司
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in these methods, some algorithms use traditional color spaces such as RGB and YUV for flame color feature recognition, and the misjudgment rate is high; some algorithms first perform flame feature analysis, and then perform moving target recognition, resulting in slow calculation speed. higher operating costs
Other algorithms analyze and detect dynamic features such as flame shape, and the algorithm structure is complex and the false positive rate is high.

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
  • Flame detection device based on video image analysis
  • Flame detection device based on video image analysis
  • Flame detection device based on video image analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The present invention will be further described below in conjunction with specific drawings and implementation.

[0020] like figure 1 Shown is a schematic flow chart of the fire detection method in the present invention. Proceed as follows:

[0021] Step 101: collect video image data; the video image collected is converted from RGB color space to CIE XYZ color space and further CIE xy color space conversion in the image preprocessing module, in the conversion process, because the usual RGB color space is non-linear Space, that is, after gamma correction processing, the acquired RGB video image data must first be linearized into R'G'B' data; the linearized R'G'B' image data is converted into a CIE XYZ image through a linear matrix operation data, the converted CIE XYZ image data is subsequently converted to CIE xyY image data;

[0022] Step 103: Convert the video image data color space; compare the CIE xy data of each pixel of the converted image with the standard co...

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 discloses a flame detection device based on video image analysis. The flame detection device based on video image analysis comprises an acquisition system for acquiring video images, a video image analysis system and a fire alarming system. The video image analysis system comprises a video image preprocessing module, a moving target recognition module, a flame pixel recognition module and a fire judgment module. The acquired video images are converted from RGB (red, green and blue) color space to CIE (international commission on illumination) xyY color space and are compared with distribution characteristics of marked flame colors on a CIE xy chromaticity diagram, so that flame pixels are recognized. Converted CIE xyY data are input into the flame detection module and the moving target detection module, and binary images output from the two modules are fused for detection of a fire. The flame colors has high resolution and uniqueness in the CIE xy color space, so that the flame detection device has high flame recognition precision and wide range of application.

Description

technical field [0001] The invention relates to a flame detection device based on video image analysis, in particular to perform flame detection and alarm by analyzing pixel color features in real-time collected video images, and belongs to the technical field of intelligent fire monitoring. Background technique [0002] Fire monitoring and early warning device systems play a very important role in many fields, including large building fire prevention, forest fire prevention, and natural environment monitoring. Traditional fire monitoring technologies and devices include particle-type smoke sensors, infrared and laser technologies, etc. Particle-type smoke sensors require smoke particles to enter the sensor to cause an alarm. Infrared and laser technology also require smoke occlusion to trigger an alarm. In addition, for large-scale buildings and outdoor environments, a large number of sensor devices need to be deployed to achieve high monitoring coverage. rate and monitori...

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): G08B17/00G06K9/00
Inventor 杜峥
Owner 镇江石鼓文智能化系统开发有限公司
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