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US Patent 12079769 Automated recalibration of sensors for autonomous checkout

Patent 12079769 was granted and assigned to Standard Cognition, Corp. on September, 2024 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
120797690
Patent Inventor Names
Daniel L Fischetti0
Dhananjay Singh0
Nagasrikanth Kallakuri0
Tushar Dadlani0
Date of Patent
September 3, 2024
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Patent Application Number
177411100
Date Filed
May 10, 2022
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Patent Citations
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US Patent 8261256 System and method for automatically updating the software of a networked personal audiovisual device
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US Patent 8279325 System and method for acquiring, editing, generating and outputting video data
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US Patent 8577705 Method and system for rating the role of a product category in the performance of a store area
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US Patent 8624725 Enhanced guidance for electronic devices having multiple tracking modes
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US Patent 8749630 Method and system for automatic objects localization
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US Patent 9036028 Object tracking and alerts
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US Patent 9058523 Masking module for a video surveillance system, method for masking selected objects, and computer program
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US Patent 9262681 Probabilistic registration of interactions, actions or activities from multiple views
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Patent Primary Examiner
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Aaron W Carter
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CPC Code
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G06T 2207/20081
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G06T 2207/20084
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G06T 2207/30204
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G06V 10/40
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G06V 10/46
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G06V 10/74
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G06V 10/776
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G06V 10/82
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Patent abstract

Automated techniques provide for recalibrating cameras in a real space in which puts and takes of items are tracked. The method includes first processing one or more selected images selected from a plurality of sequences of images received from a plurality of cameras calibrated using a set of calibration images that were used to calibrate the cameras previously. The first processing includes a process step to match one or more features from the selected images with features extracted from the set of calibration images using a trained neural network classifier. The features correspond to points located at displays or structures that remain substantially immobile. Camera calibrations can be updated when transform information between features matched meets or exceeds a threshold.

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