Acoustic imaging techniques using machine learning
US12352727B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Aug 4, 2021 |
| Grant date | Jul 8, 2025 |
| Priority date | — |
| Expiry date | Jul 11, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01N2291/106
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A computerized method of image processing using processing circuitry to apply a previously trained machine learning model in a system for non-destructive testing (NDT) of a material is described. The method can include acquiring acoustic imaging data of the material, the acoustic imaging data acquired at least in part using an acoustic imaging modality, generating an acoustic imaging data set corresponding to an acoustic propagation mode, applying the previously trained machine learning model to the acoustic imaging data set, and generating an image of the material depicting a probability of a flaw per pixel or voxel based on the application of the previously trained machine learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.