Automated shopping experience using cashier-less systems
US11966901B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 31, 2021 |
| Grant date | Apr 23, 2024 |
| Priority date | — |
| Expiry date | Apr 5, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30232
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed is a method for identifying and monitoring a shopping behavior in a user. The method includes capturing images from a depth camera mounted on a shelf unit, identifying a user from the captured image, identifying joints of the identified user by performing a deep neural network (DNN) body joint detection on the captured images; detecting and tracking actions of the identified user over a first time period; tracking an object from the bins over a second time period by associating the object with one or more joints among the identified joints that have entered the bins within the shelf unit, and determining an action of the identified user based at least in part on the associated object with the one or more joints and results from the deep learning identification on the bounding box.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.