Unlock instant, AI-driven research and patent intelligence for your innovation.

Method for recognizing material marks, training method, equipment and storage medium

A material and marking technology, applied in neural learning methods, character and pattern recognition, biological neural network models, etc., can solve the problem of low recognition success rate and achieve the effect of improving the recognition success rate

Pending Publication Date: 2022-01-07
BOE TECH GRP CO LTD +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current equipment has the problem of low recognition success rate in the process of identifying incoming material marks

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 for recognizing material marks, training method, equipment and storage medium
  • Method for recognizing material marks, training method, equipment and storage medium
  • Method for recognizing material marks, training method, equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] Several embodiments are described herein, but the description is exemplary rather than limiting, and many more embodiments and implementations are possible within the scope of the embodiments described herein. Although many possible combinations of features are shown in the drawings and discussed in the detailed description, many other combinations of the disclosed features are possible. Except where expressly limited, any feature or element of any embodiment may be used in combination with, or substituted for, any other feature or element of any other embodiment.

[0020] In describing representative embodiments, the specification may have presented a method and / or process as a particular sequence of steps. However, to the extent the method or process is not dependent on the specific order of steps described herein, the method or process should not be limited to the specific order of steps described. Other sequences of steps are also possible, as will be appreciated b...

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 embodiment of the invention provides a method for recognizing a material mark, a training method, equipment and a storage medium. The method for recognizing the material mark comprises the following steps: obtaining a to-be-recognized image corresponding to a to-be-recognized material; performing recognition processing on the to-be-recognized image by using a pre-trained fuzzy neural network to obtain mark information of the to-be-recognized material; wherein the pre-trained fuzzy neural network is obtained by training an initial fuzzy neural network based on a first image comprising abnormal mark information and a second image corresponding to the first image and comprising normal mark information.

Description

technical field [0001] Embodiments of the present disclosure relate to but are not limited to the field of intelligent equipment, and in particular, relate to a method for identifying material marks, a training method, equipment, and a storage medium. Background technique [0002] In the display panel processing technology, a mark (Mark) with a specific shape and size is usually designed in the material, which is used for equipment identification in the processing technology. However, the current equipment has the problem of low recognition success rate in the process of recognizing incoming material marks. Contents of the invention [0003] The following is an overview of the topics described in detail in this article. This summary is not intended to limit the scope of the claims. [0004] In the first aspect, an embodiment of the present disclosure provides a method for identifying material marks, including: obtaining an image to be identified corresponding to the mate...

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): G06V30/224G06V30/19G06V10/40G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/043G06N3/045G06F18/22G06F18/214
Inventor 刘钊常开杰王晓宵王杨江龙峰张雷
Owner BOE TECH GRP CO LTD