Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method and device for flame detection based on video image analysis

A video image and flame detection technology, applied in the fields of video surveillance and computer vision, can solve the problems of difficult to meet the real-time, effectiveness and accuracy of early fire detection, and achieve the effect of improving the accuracy.

Active Publication Date: 2015-05-06
TIANJIN ISECURE TECH
View PDF5 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, we found that the image-based fire detection technology based on this technology has not been widely used in our daily life. The reason is that the research results at this stage are difficult to meet our real-time and effectiveness of early fire detection. and accuracy requirements

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
  • Method and device for flame detection based on video image analysis
  • Method and device for flame detection based on video image analysis
  • Method and device for flame detection based on video image analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with specific examples. The implementation example uses an image with a size of 352×288 pixels. During the daytime, the YUV color image is collected. In the evening, when the amount of light information sensed by the photoresistor is less than the threshold, the infrared supplementary light receives the turn-on signal, and the grayscale image is collected at this time. It should be pointed out that the described examples are only for facilitating the understanding of the present invention, and do not limit the protection scope of the present invention.

[0029] figure 1 A schematic block diagram of a flame detection device based on video image analysis according to the present invention is shown. Each unit of the device described below can be realized by a microprocessor alone, but it can also be realized by a processor with a high-performance CPU in...

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 method and a device for flame detection based on video image analysis. The method includes: firstly, adopting a video image acquisition unit to acquire video images in a monitoring area, judging a type of a current frame image by the aid of an image information judgment unit, and adopting different processing modes for subsequent processing according to different image types; secondly, extracting a suspected flame area of the current frame image by the aid of a suspected area extraction unit, and removing false areas which do not match conditions by the aid of a screening unit; thirdly, adopting a match updating unit for match updating operations of suspected areas kept after screening; finally, adopting a judgment alarm unit to judge whether match times of each historical suspected area reaches a threshold or not so as to judge whether the suspected areas have fires or not. By the method and the device for flame detection based on video image analysis, classified judgment is carried out according to different features of flames in daytime and at night, so that alarm accuracy is greatly improved.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to flame detection applied in the field of video surveillance. Background technique [0002] Fire has always been one of the most important frequent disasters that endanger people's life and property safety. With the development of social productivity and increasing social wealth, the economic losses and casualties caused by fires are expanding. And people's research on fire detection has never stopped. The most widely used so far are mainly heat-sensing fire detectors and smoke-sensing fire detectors. [0003] Temperature-sensing fire detectors and smoke-sensing fire detectors judge whether to issue an alarm message by sensing the temperature and smoke concentration around the flame, and comparing the perceived information amount with the threshold. There are two problems like this. One is that the alarm information cannot be accurately given by the single feature of the flame, ...

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
IPC IPC(8): G06K9/00G06K9/62
Inventor 张德馨
Owner TIANJIN ISECURE TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com