Chemical fiber product line
Aramid yarn appearance inspection
During high-speed production of aramid yarn, visual inspection is impossible. Most inspections rely on manual examination of the yarn bobbin surface after it has been wound to determine the overall quality. This method is incomplete and lacks context, also incurring time delays and failing to provide timely feedback on yarn quality.
Using machine vision to inspect the appearance quality of aramid yarn during the production process offers advantages such as high efficiency, accuracy, and real-time monitoring. It allows for comprehensive understanding of yarn quality from the inside out, enabling objective rating of yarn bobbins. Furthermore, the large amount of data collected can help companies improve their production processes and enhance product competitiveness.

Full inspection replaces external inspection, machines replace manual labor, real-time alarm feedback, and quality rating traceability.
Applicable scenarios: Composite materials industry / Textile industry
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Inquiry Hotline 400-8800-716
Product Features
01
Yarn specifications compatible
The system can detect yarns ranging from 200D to 3000D.
02
High-speed production line adaptation
It can meet the maximum linear speed of yarn of 500 meters per minute and can adapt to changes in production line speed;
03
Customized detection width
Maximum width 1200mm (can be customized according to production line);
04
AI Defect Classification Statistics
After a defect is detected, artificial intelligence technology is used to correctly classify and statistically analyze the defect.
05
Yarn rating traceability
Based on the number and type of defects, each yarn bobbin is objectively rated from the inside out, and quality traceability is performed.
06
Multi-dimensional quality query
You can query the quality status of all products dropped into the drum during a certain period based on dimensions such as production line, product type, and time. For example, the total number of defects, the number of various types of defects, and rating information can be obtained.
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