Gray fabric broken yarn online detection method based on computer vision

Abstract

The invention relates to a gray fabric broken yarn online detection method based on computer vision, which is characterized by comprising the following steps: Step 01, providing an industrial camera to shoot to-be-detected gray fabric so as to obtain a gray fabric picture; Step 02, providing a control computer to read the gray fabric picture and performing pretreatment on the picture; Step 03, utilizing broken yarn recognition program to compare the gray fabric picture with a preset fabric template by the control computer, and when the matching ratio can not meet the preset matching threshold value, sending a halt command to the communication port by the control computer; Step 04: providing a control module to receive the halt command so as to control a warp knitting machine to run a motor to cut off power supply and stop, so that the system is suspended and waits for settlement. According to the gray fabric broken yarn online detection method based on computer vision, disclosed by the invention, the defects of the traditional broken yarn detection method are eliminated, the detection accuracy, efficiency and capacity of resisting disturbance are improved by combing the method of one-dimensional and two-dimensional signal of the picture, the variety of to-be-detected gray fabric is increased, and better universality is realized.

Description

technical field [0001] The invention relates to the field of textiles, in particular to a computer vision-based online detection method and system for yarn breakage in gray cloth. Background technique [0002] Gray cloth testing is one of the main links in textile quality control and management. In the development process of the textile industry, the quality and cost of cloth have seriously hindered the production and development of the textile industry. Currently, the quality inspection of gray cloth is mainly manual inspection. This traditional detection method is slow, labor-intensive, susceptible to human factors, high false detection rate and missed detection rate, and the warp knitting machine cannot be stopped in time when the warp ends are broken. [0003] At present, the warp knitting machine yarn break detection sensors used in the textile industry can be roughly divided into two categories: one is contact type, such as drop detection device; the other is non-cont...

AI Technical Summary

Problems solved by technology

[0005] In view of this, the purpose of the present invention is to provide an online detection method and system for gray cloth broken yarn based on computer vision, to solve the problem that the traditional broken yarn detection method is easily disturbed by the environment and working conditions and cause inaccurate detection, and other machine-based The visual cloth detection algorithm has a large amount of calculation, slow detection speed, and cannot detect printed fabrics, etc.

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