Real-time object detection from decompressed images
US12347208B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 21, 2023 |
| Grant date | Jul 1, 2025 |
| Priority date | — |
| Expiry date | Aug 21, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system or method trains and implements a machine learning model for object detection. A first computing device remote to a vehicle trains a machine learning model by receiving a decoded set of previously encoded training image data and training the machine learning model to detect objects within images based on the decoded set of training image data. A processor of a second computing device encodes at least one image captured by a camera, decodes the encoded image, and executes the machine learning model to extract a set of objects from the decoded image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.