Machine-learning framework for detecting defects or conditions of railcar systems
US11663711B1 · kind B1 · utility
1Cited by
2References
20Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Oct 10, 2022 |
| Grant date | May 30, 2023 |
| Priority date | — |
| Expiry date | Oct 10, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30252
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method in which one or more processing devices perform operations may include obtaining a field image of a railcar collected from a field camera system and applying a machine-learning algorithm to the field image to generate a machine-learning algorithm output. The method may also include performing a post-processing operation on the machine-learning algorithm output to generate a filtered machine-learning algorithm output. Further, the method may include detecting a defect of the railcar using the filtered machine-learning algorithm output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.