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US Patent 11562500 Status monitoring using machine learning and machine vision

Patent 11562500 was granted and assigned to Squadle on January, 2023 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Squadle
Squadle
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Current Assignee
Squadle
Squadle
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
115625000
Patent Inventor Names
Le Zhang0
Date of Patent
January 24, 2023
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Patent Application Number
169386260
Date Filed
July 24, 2020
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Patent Citations
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US Patent 10643059 Inspecting store shelf capacity
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US Patent 10703521 Product handling and packaging system
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US Patent 10706386 Machine learning inventory management
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US Patent 10757861 Robotic fruit picking system
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US Patent 10769582 Multiple camera system for inventory tracking
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US Patent 10859443 System and method for automatic measurement and recording
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US Patent 10861086 Computer vision system and method for automatic checkout
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US Patent 11023850 Realtime inventory location management using deep learning
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Patent Primary Examiner
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Charlotte M Baker
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CPC Code
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G06T 2207/20084
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G06Q 50/12
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G10L 15/16
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G10L 25/57
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G06T 7/73
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G06V 10/25
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G06V 10/82
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G06V 20/52
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Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for status monitoring using machine vision and machine learning. In some implementations, image data representing a monitored area is obtained. Input data based on the image data is provided to one or more machine learning models trained to detect different properties of the monitored area. Output of the one or more machine learning models is received. The output of the one or more machine learning models is evaluated to detect a condition present in the monitored area. Output is provided indicating the detected condition present in the monitored area.

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