Deep learning-based store realograms
AssigneeStandard Cognition, Corp.
InventorsJordan E. Fisher, Daniel L. Fischetti, Michael S. Suswal, Nicholas J. Locascio
Life of this patent
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AssigneeStandard Cognition, Corp.
InventorsJordan E. Fisher, Daniel L. Fischetti, Michael S. Suswal, Nicholas J. Locascio
Estimating the term…
Systems and techniques are provided for tracking inventory items in an area of real space. A plurality of cameras, or other sensors, produce respective sequences of images in corresponding fields of view in the real space. The field of view of each camera overlaps with the field of view of at least one other camera. The system is coupled to the plurality of cameras and uses the sequences of images produced by at least two cameras in the plurality of cameras to identify inventory events. The inventory event includes an item identifier, a location and a timestamp. A plurality of cells having coordinates in the area of real space are stored as a data set in the memory. The processing system calculates scores at a scoring time, for inventory items having locations matching particular cells using respective counts of inventory events.
A system for tracking inventory items in an area of real space, comprising:
A method for tracking inventory items in an area of real space, the method including:
A non-transitory computer readable storage medium impressed with computer program instructions to track inventory items in an area of real space, the instructions, when executed on a processor, implement a method comprising:
Dependencies are inferred from the claim text.