Method and apparatus for identifying concrete crack based on video semantic segmentation technology
US11615519B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 6, 2021 |
| Grant date | Mar 28, 2023 |
| Priority date | — |
| Expiry date | Jul 6, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30132
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and apparatus for identifying a concrete crack includes: obtaining a crack video, and manually annotating a video image frame by using a label; predicting a future frame and label for the annotated frame by using a spatial displacement convolutional block, propagating the future frame and label, to obtain a synthetic sample, and preprocessing the synthetic sample, to form a crack database; modifying input and output ports of data of a deep learning model for video semantic image segmentation and a parameter, to enable the deep learning model to accept video input, and establishing a concrete crack detection model based on the video output; using a convolutional layer in a trained deep learning model as an initial weight of the concrete crack detection model for migration; inputting the crack database into a migrated concrete crack detection model, and training the concrete crack detection model for crack data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.