Computer Vision for Fabric Defect Detection

|Dynamic Knitfabs

Quick Answer

Cameras and AI can spot fabric faults that are easy to miss by eye. Here is how the technology works.

Woven fabric inspection

Fabric inspection is usually done by people checking rolls on a lit frame. It is skilled but tiring work, and small faults can slip through.

How automated inspection works

  • High-resolution cameras scan the fabric as it moves
  • AI models trained on images of defects flag holes, stains, slubs and print faults
  • Each fault is logged with its position on the roll

Advantages

  • Consistent checking across shifts
  • Digital defect maps for every roll
  • Data to find and fix recurring problems at source

Limits

Systems need good training data for each fabric type. Very textured or patterned fabrics are harder to inspect automatically, so human checks remain part of the process.

Learn the checks to do before cutting.

About the Author

The Dynamic Knitfabs Team

Dynamic Knitfabs Pvt. Ltd. is a family-run fabric manufacturer founded in 1990, with in-house knitting, weaving and sublimation printing in Surat and Noida, India. The company is led by Directors Rajeev Jain and Siddharth Jain and supplies fabric to 100+ international and Indian fashion brands.