Refining event triggers using machine learning model feedback
US11352013B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 12, 2021 |
| Grant date | Jun 7, 2022 |
| Priority date | — |
| Expiry date | Nov 12, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A vehicle device may execute one or more neural networks (and/or other artificial intelligence), such as based on input from one or more of the cameras and/or other sensors associated with the dash cam, to intelligently detect safety events in real-time. The vehicle device may further pass the input to a backend server for further analysis and the backend server can detect safety events based on the input. The vehicle device may analyze the output of the vehicle device and the output of the backend server to determine whether the output of the vehicle device is correct. If the output of the vehicle device is incorrect, the vehicle device can adjust how the vehicle device identifies safety events.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.