Product correlation analysis using deep learning
US11250376B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 23, 2019 |
| Grant date | Feb 15, 2022 |
| Priority date | — |
| Expiry date | Jul 23, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30241
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Systems and techniques are provided for tracking inventory events in an area of real space. A plurality of sensors produce respective sequences of frames in corresponding fields of view in the real space. The field of view of each sensor overlaps with the field of view of at least one other sensor. The processing system uses the sequences of frames produced by sensors in the plurality of sensors to identify gestures by detected subjects in the area of real space and produce inventory events. The inventory events include a subject identifier identifying a detected subject, a gesture type of the identified gesture by the detected subject, an item identifier identifying an inventory item linked to the gesture by the detected subject, a location of the gesture represented by positions in three dimensions of the area of real space and a timestamp.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.