Abstract
The economic viability of a weaving plant is significantly influenced by its efficiency in eliminating fabric faults. Textile faults have traditionally been detected by human visual inspection, but it is time consuming and does not achieve a high degree of accuracy. Mechanisms with automatic operation are much better. Industrial vision systems may form the basis of a method with a very high degree of accuracy for textile inspection. This work presents a simple system designed for fabric inspection and shows its efficiency in detecting twelve kinds of common defects. The results show that the success of system implementation depends on the choice of the specific approach.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
