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US Patent 11393213 Tracking persons in an automated-checkout store

Patent 11393213 was granted and assigned to AiFi on July, 2022 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
0

Patent attributes

Patent Applicant
AiFi
AiFi
0
Current Assignee
AiFi
AiFi
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
113932130
Patent Inventor Names
Long Chen0
Wangpeng An0
Steve Gu0
Shuang Liu0
Zijie Zhuang0
Ying Zheng0
Ying He0
Date of Patent
July 19, 2022
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Patent Application Number
165086780
Date Filed
July 11, 2019
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Patent Citations
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US Patent 10237058 Identification of artificail object and artifical object used therein
0
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US Patent 10019654 Image object recognition
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US Patent 10242501 Multi-user virtual and augmented reality tracking systems
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US Patent 10282720 Camera-based authorization extension system
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US Patent 10310597 Portable eye tracking device
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US Patent 10373322 Autonomous store system that analyzes camera images to track people and their interactions with items
Patent Citations Received
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US Patent 12001997 Systems and methods for machine vision based object recognition
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Patent Primary Examiner
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Bernard Krasnic
0

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for tracking a product item in an automated-checkout store. One of the methods includes receiving, by a computer system, data collected by multiple image sensors, the received data including data associated with a person, identifying, by the computer system based on the received data, multiple features of the person, extracting, by the computer system based on the identified features, data associated with the person from the received data, wherein the extracted data correspond to multiple time periods, and determining, by the computer system, a location of the person in each of the time periods based on the extracted data corresponding to the time period, wherein the determining includes aggregating the extracted data collected by different image sensors based at least in part on a location and a line of sight of each of the image sensors.

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