Cone yarn detection system, method and device

Abstract

The invention discloses a cone yarn detection system, method and device, and belongs to the field of cone yarn detection. The cone yarn detection system provides a sensor for detecting the position ofcone yarns and sending the position to a control module, and the control module controls a camera to obtain a picture of the cone yarns at a preset position and sends the picture to a picture recognition module, and the picture recognition module judges whether the cone yarns in the picture have defects or not and sends a judgment result to the control module; the control module controls whethera removing device to remove the cone yarns or not according to the judgment result. In this way, when it is detected that the cone yarns have the defects, the cone yarns with the defects are removed,the cone yarn detection system automatically detects the defective cone yarns in the whole process and automatically removes the defective cone yarns, the detection efficiency is high, the rejection effect is good, and manual detection is not needed.

Description

technical field [0001] The invention relates to the field of bobbin detection, in particular to a bobbin detection system, method and device. Background technique [0002] With the improvement of people's living standards, people's requirements for quality of life are also increasing. As the bobbin is an important product in the textile industry, people's requirements for the quality of the bobbin are getting higher and higher. In the existing bobbin production process, it is inevitable to produce some bobbins with defects. In order to remove these bobbins with flaws and improve the quality of bobbins, the existing industry uses manual detection and removal; However, under mature production methods, the number of bobbins with defects is small, and the manual inspection method has heavy tasks and slow work efficiency. There are also some manufacturers who use manual sampling to reduce work tasks and improve work efficiency; however, this method cannot extract all defective ...

AI Technical Summary

Problems solved by technology

In the existing bobbin production process, it is inevitable to produce some bobbins with defects. In order to remove these bobbins with flaws and improve the quality of bobbins, the existing industry uses manual detection and removal; However, in the mature production mode, the number of defective bobbins is small, and the manual detection method has heavy tasks and slow work efficiency.

Some manufacturers also use manual sampling to reduce work tasks and improve work efficiency; however, this method cannot extract all defective bobbins, and some bobbins still have quality problems

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