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AI Inspection System

AI Automated Inspection Technology, an Innovation in Textile Quality Control

Using cameras, sensors and deep learning, this smart quality-control technology automatically detects and classifies defects in fabrics and finished products. Compared with conventional visual inspection, it significantly improves speed, accuracy and consistency.

1. What Is an AI Inspection System?

👉 As fabric moves along the production line, high-speed cameras and AI models detect defects in real time.

  • Detects fine defects that are easily missed by human inspectors
  • Inspects products against the same standard 24 hours a day
  • Enables automatic recording and data analysis
2. Types of Defects Subject to Inspection

🧵 Fabric Surface Defects

Overall fabric surface defect inspection

▲ Real-time detection and location marking of fine fabric surface defects using AI

Fine hole detection

▲ Automated classification of hole defects

Stain defect detection

▲ Real-time detection of stains and contamination

  • Hole: A fine opening or puncture in the fabric
  • Stain: Contamination caused by oil marks, foreign matter or similar sources
  • Slub: A defect caused by uneven yarn thickness
  • Broken yarn: A condition in which yarn is broken during the weaving process
  • Missing pick: A defect in which a weft yarn is missing during weaving

🎨 Dyeing and Finishing Defects

Shade variation

Shade variation

Streak defect

Streak

Stain and bleeding defect

Stains and bleeding defects

3. System Components

📷 Hardware

Industrial camera

Industrial camera

LED lighting system

LED lighting system

Automated transfer device

Automated transfer device

4. Implementation Benefits and Applicable Processes
• Key implementation benefits:
  • Inspection speed increases, often five to ten times faster than manual inspection
  • Defect detection rate improves, including the detection of fine defects that may be missed by visual inspection
  • Labour costs can be reduced
  • Transparent quality control becomes possible through data-based inspection records

Contact Information

Reception: 031-212-0234 / kafti@kafti.or.kr
Manager: Senior Researcher Eunjeong Gong (010-4250-0365)
Director: Research Institute Director Seunghyuk Baik (010-4802-6453)
President: President Eunsu Kim (010-8756-7379)

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