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400-900-8515

Fiberglass product line
Online detection of hair on warping machines
The online defect detection system for glass fiber yarn on warping machines utilizes machine vision technology to perform online inspection of yarn quality during the warping/sizing process, objectively rating the warp yarn quality. It provides intuitive and reliable statistical data for warping and drawing processes to guide production, improve product quality, and enable quality traceability.
Applicable scenarios: Online detection of fiber fuzz in glass fiber/basalt fiber/UHMWPE fiber/PE fiber/PPS fiber/aramid fiber/polyester fiber/geotechnical reinforcement fiber, etc.
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Product Features
01
Accurate detection of feathers
It can detect various micron-level hairs, such as broken fibers, loops, and clumps, and can calculate their length, width, area, and other parameters, record the corresponding images and yarn sequence, and implement effective control.
02
Defect alarm prompts
It can detect yarn fuzz and clumps, and will alarm or stop the machine when the number of fuzz or the area of ​​clumps exceeds the set value within a certain length of each yarn.
03
Data Statistical Reports
It can generate reports and export them in Excel format by combining different conditions such as time, shift, warp beam, product type, and defect type;
04
Quality Traceability Inquiry
The system can store historical defect records and perform various queries on an axis basis, such as defect images, density map distribution, and downtime record queries.
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