Techniques for tailoring fabrication environments based on user, task, and expertise
US12242987B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 9, 2019 |
| Grant date | Mar 4, 2025 |
| Priority date | — |
| Expiry date | Dec 4, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/28
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are disclosed for determining users, tasks, and levels of expertise in fabrication environments. Sensors may be placed in a fabrication environment, instrumented in tools, and/or worn on users. Given labeled features extracted from sensor data, machine learning techniques are used to train models to recognize users, tasks, and levels of expertise. The trained models may then be deployed to determine the users, tasks, and levels of expertise in a fabrication environment based on features extracted from new sensor data. In turn, actions such as displaying guidance or instructional materials, or locking a user out of using certain tools or parts of the fabrication environment, may be taken.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.