Machine learning-based environment fail-safes through multiple camera views
US12138806B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 31, 2021 |
| Grant date | Nov 12, 2024 |
| Priority date | — |
| Expiry date | Mar 2, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30232
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computing system may include a fail-safe learning engine configured to access camera data captured by multiple cameras positioned within an environment during a learning phase, generate training data based on the camera data captured by the multiple cameras, and construct a human detection model using the training data. The computing system may also include a fail-safe trigger engine configured to access camera data captured by the multiple cameras positioned within the environment during an active phase, and the camera data captured during the active phase may include a target object. The fail-trigger engine may further be configured to provide, as an input to the human detection model, the camera data that includes the target object and execute a fail-safe action in the environment responsive to the determination, provided by the human detection model, indicating that the target object is a human.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.