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A textile quality inspection method and system based on image recognition

A technology of image recognition and textiles, applied in the field of intelligent manufacturing equipment, can solve the problems of automatic decision-making priority of customers without manufacturing enterprises

Active Publication Date: 2022-03-15
南通祥元纺织有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides a textile quality detection method and system based on image recognition, which solves the problem of the lack of automatic decision-making priorities for customers in the manufacturing industry due to the diversification of manufacturing order styles and requirements in the prior art. technical issues of the technical program

Method used

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  • A textile quality inspection method and system based on image recognition
  • A textile quality inspection method and system based on image recognition
  • A textile quality inspection method and system based on image recognition

Examples

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Embodiment 1

[0025] Such as figure 1 As shown, the embodiment of the present application provides a textile quality inspection method based on image recognition, wherein the method is applied to a textile quality inspection system, and the system is connected in communication with the first image acquisition device, and the method includes:

[0026] S100: Obtain a first inspection environment;

[0027] S200: Obtain a first product to be inspected, place the first product to be inspected in the first inspection environment, and obtain a first image through the first image acquisition device;

[0028]Specifically, the first inspection environment is a preset environment that will not affect the chemical properties and physical properties of the textiles, preferably in a cool, dry and light-proof environment; the first product to be inspected is Textiles that need to undergo quality inspection; the first image acquisition device is a device arranged in the first inspection environment to col...

Embodiment 2

[0081] Based on the same inventive concept as an image recognition-based textile quality detection method in the foregoing embodiments, as Figure 4 As shown, the embodiment of the present application provides a textile quality inspection system based on image recognition, wherein the system includes:

[0082] A first obtaining unit 11, the first obtaining unit 11 is used to obtain a first inspection environment;

[0083] A second obtaining unit 12, the second obtaining unit 12 is used to obtain a first product to be inspected, place the first product to be inspected in the first inspection environment, and obtain a first image through a first image acquisition device;

[0084] A third obtaining unit 13, the third obtaining unit 13 is configured to perform color feature recognition on the first image, and obtain a first set of abnormal color feature points;

[0085] A fourth obtaining unit 14, the fourth obtaining unit 14 is configured to collect a specific point enlarged ima...

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Abstract

The invention provides a textile quality detection method and system based on image recognition. The method includes: obtaining a first inspection environment; obtaining a first product to be inspected, placing it in the first inspection environment, and obtaining a first image; Color feature recognition, obtaining the first set of abnormal color feature points, and collecting the enlarged image of a specific point corresponding to the position of the first product to be inspected to obtain the first set of abnormal images; obtaining the first set of abnormal images according to the first set of abnormal images The first detection result; extracting the fiber boundary from the first image to obtain the first extraction result, and obtaining the fabric uniformity detection result; obtaining the quality of the first product to be inspected through the first detection result and the fabric uniformity detection result Test results. Due to the fact that the prior art mainly uses chemical detection, there is a technical problem of inapplicability when faced with factories with a large sample volume.

Description

technical field [0001] The invention relates to the related technical field of intelligent manufacturing equipment, in particular to a textile quality detection method and system based on image recognition. Background technique [0002] Textiles are consumables in our daily life, and their quality directly affects people's health; textile testing is one of the important links to ensure the quality of textiles. The fiber quality inspection that is often used at this stage is the chemical inspection of textile fiber quality, using chemical reagents and chemical analysis instruments to carry out chemical inspection on the textiles selected by sampling, but this inspection method has higher requirements for inspectors and the limitation of sampling inspection. With the increase of test samples, the uncertainty and inaccuracy of the test results are increased. [0003] However, in the process of realizing the technical solution of the invention in the embodiment of the present a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06V10/56G06N3/04
CPCG06T7/0004G06T2207/30124G06N3/045
Inventor 周凯强
Owner 南通祥元纺织有限公司
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