Online detection method of circular weft knitting stripe defects based on gray gradient method
US11205262B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 13, 2021 |
| Grant date | Dec 21, 2021 |
| Priority date | — |
| Expiry date | Jul 13, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30204
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosure discloses an online detection method of circular weft knitting stripe defects based on a gray gradient method, and belongs to the technical field of textile product detection. The method provides a defect detection and positioning method based on the gray gradient method. Before the detection on a new product, only a model needs to be trained to obtain stripe defect feature images with different stitch types and different stitch densities, and the detection is directly performed in a subsequent process. Defects can be fast and accurately recognized, and a cam position causing the stripe defects can be calculated according to a quantity of shot images between the feature images and a marked image, courses in which marks in the marked image are located, courses in which defects in a defect image are located, and machine operation parameters. Moreover, a defect detection device required by the disclosure can be modified on an original circular knitting machine, so the detection cost is reduced.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.