Method for detecting surface defect, method for training model, apparatus, device, and media
US11763552B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 9, 2020 |
| Grant date | Sep 19, 2023 |
| Priority date | — |
| Expiry date | Aug 28, 2041 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02P90/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for detecting a surface defect, a method for training model, an apparatus, a device, and a medium, are provided. The method includes: inputting a surface image of the article for detection into a defect detection model to perform a defect detection, and acquiring a defect detection result output by the defect detection model; inputting a surface image of a defective article determined to be defective into an image discrimination model based on the defect detection result to determine whether the surface image of the defective article is defective, wherein the image discrimination model is a trained generative adversarial networks model, and the generative adversarial networks model is obtained by training using a surface image of a defect-free good article; and adjusting the defect detection result of the surface image of the defective article according to a determination result of the image discrimination model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.