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US Patent 11665320 Camera platform and object inventory control

Patent 11665320 was granted and assigned to EBay on May, 2023 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors

Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
EBay
EBay
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Current Assignee
EBay
EBay
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
116653200
Date of Patent
May 30, 2023
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Patent Application Number
171705490
Date Filed
February 8, 2021
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Patent Citations
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US Patent 9025864 Image clustering using a personal clothing model
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US Patent 9179061 Assisted text input for computing devices
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US Patent 9329762 Methods and systems for reversing editing operations in media-rich projects
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US Patent 10008039 Augmented reality fitting approach
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US Patent 10311409 Detection and interpretation of visual indicators
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US Patent 10949667 Camera platform and object inventory control
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US Patent 11126849 Camera platform incorporating schedule and stature
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US Patent 10509962 Camera platform incorporating schedule and stature
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Patent Citations Received
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US Patent 12022239 Camera platform incorporating schedule and stature
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US Patent 12081913 Camera platform incorporating schedule and stature
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Patent Primary Examiner
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Qian Yang
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CPC Code
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H04N 21/2187
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G06V 20/20
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G06V 10/10
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G06V 30/194
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G06K 9/6256
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G06K 9/628
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G06N 20/00
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G06N 3/0454
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...

Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.

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