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US Patent 11295270 Deep learning-based store realograms

Patent 11295270 was granted and assigned to Standard Cognition, Corp. on April, 2022 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
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Standard Cognition, Corp.
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Current Assignee
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Standard Cognition, Corp.
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
112952700
Patent Inventor Names
Daniel L. Fischetti0
Nicholas J. Locascio0
Michael S. Suswal0
Jordan E. Fisher0
Date of Patent
April 5, 2022
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Patent Application Number
166790350
Date Filed
November 8, 2019
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Patent Citations
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US Patent 10165194 Multi-sensor camera system
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US Patent 10242393 Determine an item and user action in a materials handling facility
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US Patent 10262331 Cross-channel in-store shopper behavior analysis
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US Patent 10332089 Data synchronization system
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US Patent 10354262 Brand-switching analysis using longitudinal tracking of at-shelf shopper behavior
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US Patent 10387896 At-shelf brand strength tracking and decision analytics
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US Patent 10438277 Determining an item involved in an event
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US Patent 10445694 Realtime inventory tracking using deep learning
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Patent Citations Received
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US Patent 11475673 Image recognition device for detecting a change of an object, image recognition method for detecting a change of an object, and image recognition system for detecting a change of an object
Patent Primary Examiner
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Anner N Holder
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CPC Code
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G06T 7/70
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G06T 7/20
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G06T 2207/30196
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G06T 2207/10004
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G06Q 10/087
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G06N 3/04
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G06N 3/08
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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.

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