System for multi-modal anomaly detection
US11804060B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 26, 2021 |
| Grant date | Oct 31, 2023 |
| Priority date | — |
| Expiry date | Jul 26, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/14
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A pair of input images acquired using a first modality and a second modality is processed using a multi-classifier trained to determine classification data indicative of whether the pair is normal or abnormal. A pair may be deemed abnormal if one or both input images are obscured or inconsistent with one another. Training data comprising normal and abnormal images are used to train the multi-classifier. During training, the multi-classifier uses an objective function that includes cross entropy loss, distance loss, and discrepancy loss to process the training data. During use, the trained multi-classifier processes a pair of input images. If the resulting classification data indicates the pair of input images are normal, the pair of input images may be processed to assert an identity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.