Universally trained model for detecting objects using common class sensor devices
US12073610B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 11, 2024 |
| Grant date | Aug 27, 2024 |
| Priority date | — |
| Expiry date | Jan 11, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/764
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for training a universal sensor model based on a combined dataset provided by sensor devices of a common device class. Once trained, the universal sensor model may be deployed for providing recommendations based on performing object detection on datasets received from different types of sensor devices of the common device class. Embodiments include determining whether to generate the combined dataset from different datasets from sensor devices of the common device class and determining when the sensor model will perform better using the combined dataset from sensor device rather than a single dataset from a single sensor device. In some embodiments, the datasets are image datasets comprising image data provided by the sensor devices.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.