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US Patent 11763113 Methods and arrangements for identifying objects

Patent 11763113 was granted and assigned to Digimarc on September, 2023 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors

Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Digimarc
Digimarc
Current Assignee
Digimarc
Digimarc
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11763113
Patent Inventor Names
Tony F. Rodriguez
Bruce L. Davis
John D. Lord
Geoffrey B. Rhoads
Date of Patent
September 19, 2023
Patent Application Number
17692492
Date Filed
March 11, 2022
Patent Citations
‌
US Patent 8009863 Method and system for analyzing shopping behavior using multiple sensor tracking
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US Patent 8036956 Secure, differentiated reading of sensors and RFID tags
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US Patent 8117071 Method and system for matching via an image search query at a point of sale
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US Patent 8175925 Position-based item identification in a materials handling facility
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US Patent 8194985 Product identification using image analysis and user interaction
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US Patent 8239268 Self-checkout terminal
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US Patent 8325036 In stock analytic monitoring
‌
US Patent 8571298 Method and apparatus for identifying and tallying objects
...
Patent Citations Received
‌
US Patent 12131512 Product positioning method
0
Patent Primary Examiner
‌
Mahendra R Patel
CPC Code
‌
G09G 2340/12
‌
G06K 7/10861
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G06K 7/1456
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G06Q 10/087
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G06Q 20/201
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G06Q 20/208
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G06Q 30/00
‌
G06Q 10/08
...
Patent abstract

In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.

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