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US Patent 10318917 Multiple sensor data fusion system

Patent 10318917 was granted and assigned to Amazon on June, 2019 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Amazon
Amazon
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Current Assignee
Amazon
Amazon
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
103189170
Patent Inventor Names
Gerard Guy Medioni0
Ohil Krishnamurthy Manyam0
Ramanathan Palaniappan0
Fan Sun0
Liefeng Bo0
Michel Leonard Goldstein0
Navid Shiee0
Date of Patent
June 11, 2019
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Patent Application Number
146751670
Date Filed
March 31, 2015
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Patent Citations Received
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US Patent 11501454 Mapping wireless weight sensor array for item detection and identification
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US Patent 12126940 Detection of object removal and replacement from a shelf
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US Patent 11475656 System and method for selectively verifying algorithmically populated shopping carts
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US Patent 11475657 Machine learning algorithm trained to identify algorithmically populated shopping carts as candidates for verification
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US Patent 11475674 Customer-based video feed
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US Patent 11501453 Sensor array for scalable position tracking system
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US Patent 11501455 System and method for position tracking using edge computing
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US Patent 12002263 Feedback and training for a machine learning algorithm configured to determine customer purchases during a shopping session at a physical store
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...
Patent Primary Examiner
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Olusegun Goyea
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Patent abstract

An inventory location such as a shelf may be used to stow different types of items. Interactions may take place, such as the pick or place of one or more items from the inventory location. Image data may be acquired from cameras viewing the shelf and weight data may be acquired from weight sensors coupled to the shelf. Hypotheses may be determined that indicate possible interactions with the inventory location, such as pick or place of an item with regard to the inventory location, and the probability that those interactions are correct. The hypotheses and their associated probabilities may be aggregated. From the aggregated hypotheses, a hypothesis with a highest confidence value may be deemed a solution.

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