Machine-learning model for detecting a device within a venue
US12273784B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 1, 2021 |
| Grant date | Apr 8, 2025 |
| Priority date | — |
| Expiry date | Jan 18, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/0853
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A model is configured to determine whether a device is located within a venue. During a baseline time period, the system detects wireless pings from mobile devices. The system obtains device parameters from the wireless pings. The system evaluates the device parameters to determine whether a mobile device entered the venue or remained outside of the venue. The system trains a model on training data corresponding to the baseline time period, the model configured to differentiate between devices that enter the venue and devices that remain outside the venue based on device parameters associated with the device. The system applies the model to future detected devices to determine whether or not the devices enter the venue.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.