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US Patent 11022443 System and method of personalized navigation inside a business enterprise

Patent 11022443 was granted and assigned to POSITION IMAGING, INC on June, 2021 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
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POSITION IMAGING, INC
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Current Assignee
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POSITION IMAGING, INC
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
110224430
Patent Inventor Names
Edward L. Hill0
Date of Patent
June 1, 2021
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Patent Application Number
168573990
Date Filed
April 24, 2020
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Patent Citations
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US Patent 10282852 Autonomous store tracking system
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US Patent 10416276 Position tracking system and method using radio signals and inertial sensing
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US Patent 10444323 Expandable, decentralized position tracking systems and methods
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US Patent 10455364 System and method of personalized navigation inside a business enterprise
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US Patent 10001833 User input system for immersive interaction
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US Patent 10148918 Modular shelving systems for package tracking
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US Patent 10163149 Providing item pick and place information to a user
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US Patent 10180490 Radio frequency communication system
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Patent Citations Received
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US Patent 11774249 System and method of personalized navigation inside a business enterprise
Patent Primary Examiner
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Julio R Perez
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Patent abstract

Systems and methods for tracking movement of individuals through a building receive, by one or more RF nodes disposed near an entrance to the building, RF signals from RF-transmitting mobile devices carried by persons near the entrance, capture an image of the persons while they are near the entrance, determine an identity and relative distance of each RF-transmitting mobile device from each RF node based on information associated with the RF signals received by that RF node, detect humans in the image, determine a relative depth of each human in the image, and assign the identity of each RF-transmitting mobile device to one of the humans detected in the image based on the relative distance of each RF-transmitting mobile device from each RF node and the relative depth of each human in the image, thereby identifying each individual who to be tracked optically as that individual moves throughout the building.

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