Patent · US Active

Method of data collection for partially identified consumer packaged goods

US12374090B2 · kind B2 · utility

0Cited by
3References
20Claims
0Family size

Assignee

Inventors

Key dates

Filing dateJan 11, 2023
Grant dateJul 29, 2025
Priority date
Expiry dateJan 21, 2044

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06V20/60
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

A method is provided for identifying consumer packaged goods (CPGs). The method includes providing to a machine learning classifier a set of images containing at least one CPG; receiving from the machine learning classifier an indication that the machine learning classifier cannot reliably identify a designated CPG in the set of images; determining whether the designated CPG is a product in a product catalog; if the designated CPG is in the product catalog, then associating the designated CPG with a Global Trade Item Number (GTIN); and if the designated product is not in the product catalog, then designating the CPG as a potentially new product. Notably, this approach allows partially identified products to be treated as full-fledged members of the product catalog, thus allowing data to be collected on these products even before they have been fully identified and their GTINs have been resolved.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.