Computer vision and machine learning techniques for item tracking
US11010903B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 30, 2019 |
| Grant date | May 18, 2021 |
| Priority date | — |
| Expiry date | Aug 11, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N23/90
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Techniques are described for processing digital video data using one or more machine learning models to determine an outcome of an item placement operation within a fulfillment center environment. Video data is processed using one or more machine learning models to determine an estimated likelihood that an occurrence of a particular fulfillment center operation is depicted within the two or more instances of digital video data. Upon determining that the estimated likelihood exceeds a predefined threshold confidence level, the video data is processed using second one or more machine learning models to determine a bin placement prediction and a confidence value. A data repository for a control system for the fulfillment center environment is updated, based on the bin placement prediction and the confidence value.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.