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US Patent 11961279 Machine-learning-assisted self-improving object-identification system and method

Patent 11961279 was granted and assigned to POSITION IMAGING, INC on April, 2024 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

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
119612791
Patent Inventor Names
Brett Bilbrey1
Narasimhachary Nallana Chakravarty1
Guohua Min1
Edward L. Hill1
Date of Patent
April 16, 2024
1
Patent Application Number
178385431
Date Filed
June 13, 2022
1
Patent Citations
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US Patent 7104453 Unitary package identification and dimensioning system employing ladar-based scanning methods
1
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US Patent 7143004 Solid state orientation sensor with 360 degree measurement capability
1
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US Patent 7168618 Retail store method and system
1
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US Patent 7190309 Radio signal transmitter with multiple antennas for improved position detection
1
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US Patent 7193559 Inertial GPS navigation system with modified kalman filter
1
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US Patent 7236091 Position-tracking system
1
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US Patent 7292189 Methods and apparatus for high resolution positioning
1
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US Patent 7295925 Accident avoidance systems and methods
1
...
Patent Primary Examiner
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Michael R Neff
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CPC Code
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G06V 10/803
1
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G06V 10/82
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G06V 20/10
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G06V 10/454
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G06T 7/20
1
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G06T 2207/20081
1
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G06T 2207/20084
1
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G06V 10/62
1
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Patent abstract

A system and method of identifying and tracking objects comprises registering an identity of a person who visits an area designated for holding objects, capturing an image of the area designated for holding objects, submitting a version of the image to a deep neural network trained to detect and recognize objects in images like those objects held in the designated area, detecting an object in the version of the image, associating the registered identity of the person with the detected object, retraining the deep neural network using the version of the image if the deep neural network is unable to recognize the detected object, and tracking a location of the detected object while the detected object is in the area designated for holding objects.

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