Patent · US Active

Methods and apparatus for machine learning system for edge computer vision and active reality

US12002008B2 · kind B2 · utility

0Cited by
15References
26Claims
0Family size

Assignee

Inventors

Key dates

Filing dateJan 4, 2024
Grant dateJun 4, 2024
Priority date
Expiry dateJan 4, 2044

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06V20/64
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

A method includes receiving image frames of an inventory. The method includes locating a control point used to determine a spatial search in the image frames and detecting, by a machine learning model, a plurality of storage units in the spatial search. Each storage unit is associated with a unit type from a plurality of unit types. The method includes calculating a storage unit count from a plurality of storage unit counts and for each unit type from the plurality of unit types from the plurality of storage units detected based on depth analysis. Each storage unit count includes a total number of storage units associated with each unit type. The method includes determining a restock status of each unit type based on the storage unit count for each unit type, and automatically generating a replenish request based on the restock status.

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