Thread inspection method, thread inspection device, thread manufacturing method, thread package, and thread module

Abstract

Provided is a thread inspection method, wherein in a thread production process for producing a thread traveling continuously in a longitudinal direction, an image of the traveling thread is captured, and the total length of the traveling thread is inspected at high speed from obtained image data to thereby obtain information relating to a thread defect without falsely recognizing a case where the thread is merely shaking or a case where the thread is merely traveling obliquely as a thread defect. This thread inspection method is characterized in that an image of a traveling thread is captured by an image capturing means, and image data obtained by the image capturing means is subjected to data processing by a data processing means, the data processing comprising: (a) a step for calculating a plurality of thread widths in a predetermined section in a traveling direction from the image data relating to the traveling thread; (b) a step for calculating a variation in thread width from the plurality of thread widths; and (c) a step for comparing the variation in thread width with a first threshold value.

Description

technical field [0001] The present invention relates to grasping the presence or absence of defects or the state of defects (for example, The inspection method of the thread of the knot, middle tapered, etc.). Background technique [0002] In the past, threads represented by fibers, fiber products, and hollow fiber membranes have been utilized and utilized in various fields and applications. [0003] In the past, in the production of these yarns, it was required to be able to produce in large quantities and at high speed or to reduce costs. On the other hand, the requirements for quality are not strong. However, in recent years, along with the development of science and technology, combined with the high functionality of final products using silk threads as constituent components, and the expansion of the fields using these threads, in order to improve the quality of final products, silk threads have also become required. high quality. That is, at present, in addition to...

AI Technical Summary

Problems solved by technology

[0011] However, in these methods, due to external factors such as vibration of the equipment, the normal thread is only shaken, and the normal thread is only oblique, etc. Although these are normal threads, sometimes Can be misidentified as a "knot" defect with a locally enlarged line width or a "mid-thin" defect with a locally reduced line width

For example, when Figure 5 When the inspection method described in Patent Document 2 is applied to the several image data shown, the thread YT 6 , sometimes the thread is only oblique, but the width of the circumscribed rectangle becomes larger and it is judged as a defect

In addition, regarding YT 7 , sometimes only line shaking occurs, but the width of the circumscribed rectangle becomes larger and it is judged as a defect

[0012] In addition, by calculating the line width for each pixel in the traveling direction based on the image data for all threads, it is possible to determine whether a normal thread has thread shaking or skewing, a "knot" defect, or a "middle thinning" defect, However, there is a concern that data processing takes a long time and delays in reflecting inspection results may occur, and the cost increase for high-performance data processing is a problem.

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