Fuzzy logic can detect fabric fuzz

17 Jun 2002

An automated on-line inspection system that uses advanced vision technology, neural networks, fuzzy logic and wavelets to quickly identify defects in fabric has been successfully tested at an Alabama textile manufacturing plant. The system could cut inspection costs and reduce the amount of off-quality production.

Developed by researchers at the Georgia Institute of Technology, the equipment could ultimately be the basis for an integrated electronic feedback system that would monitor and control quality processes throughout the manufacturing cycle. A West Virginia maker of textile equipment has licensed the technology with plans to produce a commercial system.