Foreign fiber content detection system and method

Abstract

The invention provides a foreign fiber content detection system and method comprising a control module, a removal module, a light source detection module and a laying module; the light source detection module comprises a transparent cotton flow channel, a CCD and a backlight plate; the CCD and the backlight plate are separately correspondingly arranged on two sides of the cotton flow channel, andthe backlight plate comprises an ultraviolet tube and a white fluorescent tube; the upper end of the cotton flow channel is connected with the removal module, and the removal module comprises a nozzle; the lower end of the cotton flow channel is connected with the laying module, and the laying module comprises a fan. According to the foreign fiber content detection system and method provided by the invention, the foreign fiber content detection system based on the image recognition technology is provided and matched with the fuzzy clustering algorithm, so that the evaluation index of the foreign fiber content grade in current standard is completed, the content grade evaluation method and model are provided, and the new foreign fiber content online detection system and method are provided.

Description

technical field [0001] The invention belongs to the field of cotton foreign fiber detection, and in particular relates to a foreign fiber content detection system and method. Background technique [0002] Under the current technical conditions, there are the following main problems in the evaluation of foreign fiber content grades in the current production: [0003] One is the current manual picking method for random inspection. Actual survey statistics show that the cost of manually removing one gram of foreign fiber is almost equivalent to the value of one gram of platinum, and when the cleaning personnel are visually fatigued, the detection rate will be unstable, resulting in the foreign fiber content index being easily influenced by human beings, and the test results fluctuating Large, the cotton textile industry needs to adopt automatic detection to realize the intelligent upgrade of foreign fiber detection equipment, and scientifically and accurately detect the foreig...

AI Technical Summary

Problems solved by technology

Because the content of foreign fibers affects the quality of cotton fabrics, the defect of cotton products is a major factor affecting the quality, and the size, type, area and other factors of foreign fibers are closely related to defects, so a single weight index cannot comprehensively and accurately evaluate the foreignness of cotton Fiber Content and Its Effects

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