Inspection neural network for assessing neural network reliability
US10943148B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 30, 2017 |
| Grant date | Mar 9, 2021 |
| Priority date | — |
| Expiry date | Apr 10, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/1916
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system employs an inspection neural network (INN) to inspect data generated during an inference process of a primary neural network (PNN) to generate an indication of reliability for an output generated by the PNN. The system includes a sensor configured to capture sensor data. Sensor data captured by the sensor is provided to a data analyzer to generate an output using the PNN. An analyzer inspector is configured to capture inspection data associated with the generation of the output by the data analyzer, and use the INN to generate an indication of reliability for the PNN's output based on the inspection data. The INN is trained using a set of training data that is distinct from the training data used to train the PNN.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.