Autonomous self-learning artificial intelligence intent system for access control
US11157734B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 1, 2020 |
| Grant date | Oct 26, 2021 |
| Priority date | — |
| Expiry date | Dec 1, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W12/68
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
One embodiment provides an access control system including access control sensors to detect actions performed in a vicinity of an access point, a verification sensor to verify access of the access point, and an electronic processor communicatively coupled to the access control sensors and the verification sensor. The electronic processor is configured to in response to an access intent model satisfying an accuracy condition, deploy the access intent model for the access point and receive a dataset indicating an action performed in the vicinity of the access point. The electronic processor is also configured to predict an access intent to access the access point by applying the access intent model to the dataset and enable access through the access point. The electronic processor is further configured to receive verification data indicating whether the access point is accessed, and automatically assign a label to the dataset based on the verification data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.