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

Fire fighting access obstruction image identification method based on artificial intelligence

A fire escape, image recognition technology, applied in character and pattern recognition, instruments, closed-circuit television systems, etc., can solve the problems of not describing photos and the method of image recognition, etc., and achieve effective and timely processing and preservation of images. Simple structure , to avoid the effect of tampering

Pending Publication Date: 2019-04-19
安徽新浩信息科技有限公司
View PDF1 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this technical solution does not describe how to allow the monitoring host to confirm that the photos taken by the smart camera are valid, and the method of image recognition does not describe

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
  • Fire fighting access obstruction image identification method based on artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0027] as attached figure 1 As shown, according to a kind of artificial intelligence-based fire exit blocking image recognition method according to an embodiment of the present invention, its structure comprises the following steps:

[0028] Step S101, taking an image of the fire exit without obstruction as a reference image, and the reference image is taken at the same angle and position of the smart camera;

[0029] Step S103, enter the management interface of the monitoring host, set the reference image, and set the main feature area on the reference image. The main feature area is the area formed by the width of the fire exit and the height enough for people to pass through, and set the main feature area. The ratio of regional comparison, the ratio can be set to 10%;

[0030] Step S105, exit the management interface, enter the working sta...

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 fire fighting access obstruction image recognition method based on artificial intelligence, belongs to the technical field of fire fighting, and aims to solve the technical problem of how to provide a feeding bed which is convenient to clean and can ensure that boars are in a clean and dry living environment. According to the technical scheme, the method comprises the following steps of shooting an image of a fire fighting access under the non-blocking condition to serve as a reference image, and shooting the reference image at the same angle and the same position ofan intelligent camera; Entering a management interface of the monitoring host, setting a reference image, setting a main feature area on the reference image, and setting a ratio compared with the mainfeature area; And exiting from the management interface, entering a working state, carrying out network connection with the intelligent camera, and setting the intelligent camera to shoot an image atregular intervals. The device has the advantages of being reasonable in design, simple in structure, convenient to clean, capable of enabling breeding pigs to be in a clean and dry living environmentand the like.

Description

technical field [0001] The invention relates to the technical field of fire protection, in particular to an artificial intelligence-based method for identifying images of blockage of fire exits. Background technique [0002] For firefighting, personnel evacuation is an eternal topic, especially personnel evacuation in case of fire. The fire exit is a special passage for firefighters to extinguish and rescue and evacuate trapped people in the fire scene, and it is also an escape passage for the trapped people in the fire scene. If the fire exit is blocked, once a fire breaks out in the building, the fire rescue will be affected, and people's lives and properties will be seriously threatened, which will inevitably cause heavy casualties and property losses, and the consequences will be disastrous. [0003] Patent No. CN204463370U patent literature discloses a video intelligent monitoring network for fire exits, providing a video intelligent monitoring network for fire exits...

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): G06K9/00H04N7/18
CPCH04N7/18G06V20/10
Inventor 储丹沈凌楠郑昕
Owner 安徽新浩信息科技有限公司
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