3D Inspection System

3D Shape Inspection Technology, the Next Step in Textile Quality Control

In the textile sector, a 3D inspection system measures and analyses fabric thickness, surface shape and three-dimensional defects using 3D data. While conventional 2D image-based inspection focuses mainly on colour and pattern, 3D inspection allows precise assessment of height, depth and volume.

System Overview
Defect Types
Technology Methods
Applications and Benefits

1. What Is a 3D Inspection System?

👉 The system scans the fabric surface using laser, structured light and ToF sensors.

Quantifies even fine surface unevenness in numerical data
Detects three-dimensional defects, including wrinkles and puckering, that are difficult to identify with the human eye
Enables objective quality assessment based on measurable data

2. What Types of Defects Can Be Detected?

🧵 Three-dimensional Surface Defects

Wrinkle

Puckering

Surface roughness

📏 Dimensional and Shape Inspection

3. Main Technology Methods and Comparison

Structured Light: Projects patterned light and analyses distortion, offering the highest level of precision
Laser Triangulation: Calculates height using laser lines and is suitable for high-speed line inspection
ToF Sensor: Measures the time taken for reflected light to return, allowing rapid scanning of wide areas

4. Applications and Implementation Benefits

5. Applicable Processes

Weaving and knitting: Inspection of surface uniformity
After dyeing: Checks for shrinkage and deformation
Sewing process: Puckering inspection
Finished goods inspection: Fit and appearance quality assessment

6. Implementation Benefits

Detection of fine shape-related defects becomes possible
Quality standards can be quantified through numerical data
Root-cause analysis of defects becomes easier
The technology is essential for automotive seats and functional textiles

7. AI and 3D Inspection Trend

Automatic defect classification: Combines 3D data with AI
Defect prediction: Learns abnormal patterns from inspection data
Smart-factory integration: Enables integrated management with MES

8. Example Industries

Automotive interior materials, including seat fabrics
Sportswear, where compression and fit are important
Functional textiles, where uniformity is critical
Premium fashion products

9. Limitations and Considerations

Initial equipment costs are high, and large data volumes require high-performance processing capacity
Fabric characteristics, including reflection and transmission, may affect results, while speed and precision must be balanced

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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