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AssigneeStandard Cognition, Corp.
InventorsJORDAN E. FISHER, DANIEL L. FISCHETTI, Nicholas J. LOCASCIO
Estimating the term…
Systems and techniques are provided for tracking locations of inventory items in an area of real space including inventory display structures. A plurality of cameras are disposed above the inventory display structures. The cameras in the plurality of cameras produce respective sequences of images in corresponding fields of view in the real space. A memory stores a map of the area of real space identifying inventory locations on inventory display structures. The system is coupled to a plurality of cameras and uses the sequences of images produced by at least two cameras in the plurality of cameras to find a location of an inventory event in three dimensions in the area of real space. The system matches the location of the inventory event with an inventory location.
A system for tracking inventory events, such as puts and takes, in an area of real space including inventory display structures, comprising:
The system of claim 12, wherein the log data structure of the inventory location includes item identifiers and their respective quantities for items identified on the inventory location.
The system of claim 15, wherein the image recognition engines comprise convolutional neural networks.
A method of tracking inventory events, such as puts and takes, in an area of real space including inventory display structures, the method including:
A non-transitory computer readable storage medium impressed with computer program instructions to track inventory events, such as puts and takes, in an area of real space including inventory display structures, the instructions, when executed on a processor, implement a method comprising:
Dependencies are inferred from the claim text.