Fabric surface defect detection machine set, and detection method

Abstract

The invention discloses a fabric surface defect detection machine set, and a detection method based on the fabric surface defect detection machine set. The fabric surface defect detection machine set comprises a machine frame, a feeding roller assembly, a foreign matter removing device, a flattening device, a deviation correcting device, a drawing roller assembly, a wrinkle removing device, an industrial camera, a marking machine, and a coiling machine. According to the detection method based on the fabric surface defect detection machine set, before detection, impurity removing, flattening, deviation correcting, and wrinkle removing are adopted so as to conveying flat fabric into a detection zone steadily; the fabric surface defect detection machine set can be used for on-line detection of fabric surface, increasing fabric surface detection efficiency and fabric detection result accuracy.

Description

technical field [0001] The invention relates to a fabric surface defect detection unit, and also relates to a defect detection process for fabric surface defect detection by using the detection unit. Background technique [0002] With the rapid advancement of the industry 4.0 era, the manufacturing industry will enter a new era. Many traditional industries are facing the problem of how to transform to the direction of intelligent and automated manufacturing. Enterprises need to carry out technological innovation to achieve their own goals. Long-term sustainable development. The textile fabric industry is facing the same problem, especially in terms of fabric quality inspection. In the past, enterprises used manual inspection to see the defects of fabrics with the eyes of workers. The manual inspection method has many disadvantages, such as high subjectivity, fatigue, low efficiency, and slow speed (less than 10 m / min). In addition, with the emergence of many problems such ...

AI Technical Summary

Problems solved by technology

One disadvantage compared with manual inspection is that the process maturity is lower than that of manual inspection. After all, it is a new technology that needs to be improved according to the process requirements of the applied industry, and finally seamlessly embedded into the existing production process.

[0004] The difficulties in using machine vision image detection technology to detect fabrics are: 1. During the production process, there may be some foreign matter on the surface of the fabric, such as thread ends and other sundries, which will be falsely reported during machine vision image detection. consider it a defect

2. The running fabric may be uneven or wrinkled, which will cause false alarms; 3. The fabric needs to be aligned during machine vision image detection, and there should be no large position deviation, otherwise it will also affect the final detection effect. The fabric may shift during operation, which will affect the accuracy of the test results

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