Say Goodbye to fabric defects with AI fabric inspection from Pailung

A study conducted by the Waste and Resources Action Programme revealed that during fabric production, as much as 15% of fabric can be wasted due to defects like snags and needle lines. This can lead to significant financial losses for manufacturers and harm the environment.

Moreover, it’s particularly problematic for manufacturers when flawed fabric makes its way to customers, inviting quality complaints that can jeopardize future business. Detecting small defects in long rolls of fabric can be challenging for humans, and sometimes, flawed fabric gets mistakenly delivered to customers.

To address these issues, Pailung has been diligently working on advanced methods to identify fabric defects. Their latest innovation involves using cameras embedded within their knitting machines, equipped with computer vision to spot defects in real time.

Real-time defect monitoring is a game-changer for textile manufacturers. When a defect is identified, the knitting machine can immediately stop production, allowing for problem resolution and reducing fabric wastage.

However, this is just one of the many advantages that Pailung’s new software suite offers to textile manufacturers. According to James C.C. Wang, Chairman and CEO of Pailung, this software is designed to assist textile manufacturers in their digital transformation, enabling them to benefit from the textile industry’s advancements.

Here are some key aspects of Pailung’s software suite:

  1. Transfer of Know-How: Their Knitting Fabric Management System (KFMS) stores a comprehensive database of knitting details. This enables any technician to produce fabrics without prior knowledge of the production process, transferring knowledge from individual technicians to the entire factory.
  2. Centralized Control: The Pailung Online Monitoring System (POMS) allows technicians to control multiple knitting machines from a single computer. This system covers all workflows, from production to order scheduling and machine monitoring, enhancing remote management capabilities.
  3. Integration with ERP: The software suite can be integrated with the Manufacturing Execution System (MES) to send data directly to the factory’s ERP system. This helps account for knitting machine resources, production volume, and more.
  4. Automation and Predictive Maintenance: Data from KFMS and POMS informs the MES to set up knitting machines automatically. This not only saves time but also allows for predictive maintenance by monitoring machine performance.
  5. Quality Control: The MES, combined with the Fabric Defect Detection (FDD) system, uses computer vision to inspect fabric for defects. When defects are detected, knitting machines are halted immediately, minimizing fabric wastage and improving quality control accuracy.

In essence, Pailung’s software suite goes beyond defect detection; it elevates the quality of knitted fabrics by utilizing data collected during production to enhance future production. Embracing digital transformation is crucial for textile manufacturers to stay competitive and succeed in the industry’s evolving landscape.

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