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

Hidden danger identification method and device based on self-adaptive reference image hidden danger library

A reference image and recognition method technology, applied in the direction of character and pattern recognition, database update, special data processing applications, etc., can solve problems such as automatic identification of hidden dangers, to increase the level of safety production management, high accuracy, improve accuracy and efficiency effect

Pending Publication Date: 2020-09-22
HUBEI CHINA TOBACCO IND +1
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current report of hidden dangers is limited to uploading photos, but the type of hidden dangers is judged by human experience, and it is impossible to automatically identify the type of hidden dangers based on the uploaded photos, and remind the staff to help them quickly and accurately locate hidden dangers and improve work. efficiency

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
  • Hidden danger identification method and device based on self-adaptive reference image hidden danger library
  • Hidden danger identification method and device based on self-adaptive reference image hidden danger library
  • Hidden danger identification method and device based on self-adaptive reference image hidden danger library

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments 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 making creative efforts belong to the protection scope of the present invention.

[0039] figure 1 It shows the flow of a hidden danger identification method based on an adaptive benchmark image hidden danger library according to an embodiment of the present invention, including:

[0040] S11. Obtain an image to be identified, import the image to be identified into a preset reference image hidden danger database for image ...

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 hidden danger identification method based on a self-adaptive reference image hidden danger library. The method comprises the steps of obtaining a to-be-identified image, importing the to-be-identified image into a preset reference image hidden danger library for image registration, and obtaining a reference hidden danger image with the highest similarity with the to-be-identified image; judging whether the reference hidden danger image is matched with the to-be-identified image or not; if matching succeeds, taking the hidden danger type of the reference hidden dangerimage as the hidden danger type of the to-be-identified image; and if matching fails, updating the reference image hidden danger library. The invention further discloses a hidden danger identificationdevice based on the self-adaptive reference image hidden danger library. The to-be-identified image is automatically identified by setting the reference image hidden danger library, so that the hidden danger reporting accuracy and efficiency are improved, and the safety production management level is increased.

Description

technical field [0001] The invention relates to the technical field of production safety, in particular to a hidden danger identification method and device based on an adaptive reference image hidden danger database. Background technique [0002] Hidden danger management is the key point in safe production, but at present, most of them rely on manual inspection to report hidden dangers. Due to the complicated work tasks of safety production staff, it is easy to have omissions in the work; on the other hand, the level is uneven and the business proficiency is insufficient, so it is difficult to accurately judge the serious type and severity of hidden dangers. [0003] In view of the problems in the existing hidden danger management, it is urgent to use the automatic identification method of hidden danger type to make up for the shortage of personnel work and improve the level of safety management. The current report of hidden dangers is limited to uploading photos, but the t...

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): G06K9/62G06K9/46G06F16/23G06F16/583
CPCG06F16/23G06F16/583G06V10/462G06F18/22
Inventor 胡万宏高亮段州君赵建炜唐君李强程洪冯晓磊董雷
Owner HUBEI CHINA TOBACCO IND
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