Video-based flame detection method and system and readable storage medium

A flame detection and flame technology, which is applied to systems and readable storage media, in the field of video-based flame detection methods, can solve the problems of high environmental impact, low flame detection accuracy, long detection delay, etc., and achieves a wide range of applications. , The detection effect is improved, the effect of high accuracy

Pending Publication Date: 2020-08-04
西安星舟天启智能装备有限责任公司
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the disadvantages of low accuracy of flame detection, high degree of environmental influ

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
  • Video-based flame detection method and system and readable storage medium
  • Video-based flame detection method and system and readable storage medium
  • Video-based flame detection method and system and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0040]It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumst...

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 belongs to the field of flame detection, and discloses a video-based flame detection method and system, and a readable storage medium, and the method comprises the following steps: obtaining YUV image data of a target region in real time, and cloning a current image frame and a former image frame, and obtaining F1 and F2; carrying out target detection and identification on F1 througha neural network model, and cutting F1 to obtain a plurality of first rectangular images; performing flame color feature inspection on the plurality of first rectangular images; cutting the F2 to obtain a plurality of second rectangular images, and performing flame dynamic feature detection on the first rectangular images and the second rectangular images; when both flame color feature detectionand flame dynamic feature detection are met, wherein the current target area contains flame and is calibrated in the YUV image data, generating alarm information; otherwise, carrying out S1. The advantage that the convolutional neural network extracts object features is fully utilized, meanwhile, the dynamic features of flames are effectively combined with the convolutional neural network, and theaccuracy, recall rate and detection speed of flame detection are effectively improved.

Description

technical field [0001] The invention belongs to the field of flame detection and relates to a video-based flame detection method, system and readable storage medium. Background technique [0002] With the development and progress of human society, fire has become a frequent problem that cannot be ignored, and it has repeatedly demonstrated its great destructiveness to people's life safety and social property. Therefore, the prevention and detection of fire has always been the focus of human beings in the process of fighting against fire. However, traditional fire detectors based on temperature, smoke, and light have the following disadvantages: 1. Slow response speed and high false detection rate; 2. Limited detection range and susceptible to external interference; 3. Difficult to adapt to complex environments fire detection requirements. [0003] With the continuous deepening of artificial intelligence and image processing theory research, and the continuous popularizatio...

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): G06T7/00G06T7/90G06T7/73G08B17/12G06N3/04
CPCG06T7/0002G06T7/90G06T7/73G08B17/125G06T2207/10016G06N3/045
Inventor 曹朋军张杰
Owner 西安星舟天启智能装备有限责任公司
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