Re-identification of agents using image analysis and machine learning
US11386306B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 13, 2018 |
| Grant date | Jul 12, 2022 |
| Priority date | — |
| Expiry date | Dec 25, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/103
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
As agents move about a materials handling facility, tracklets representative of the position of each agent are maintained along with a confidence score indicating a confidence that the position of the agent is known. If the confidence score falls below a threshold level, image data of the agent associated with the low confidence score is obtained and processed to generate one or more embedding vectors representative of the agent at a current position. Those embedding vectors are then compared with embedding vectors of other candidate agents to determine a set of embedding vectors having a highest similarity. The candidate agent represented by the set of embedding vectors having the highest similarity score is determined to be the agent and the position of that candidate agent is updated to the current position, thereby re-identifying the agent.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.