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US Patent 9477955 Automatic learning in a merchandise checkout system with visual recognition

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Is a
Patent
Patent
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Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
94779550
Patent Inventor Names
Luis Goncalves0
Date of Patent
October 25, 2016
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Patent Application Number
139478310
Date Filed
July 22, 2013
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Patent Citations Received
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US Patent 12126940 Detection of object removal and replacement from a shelf
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US Patent 11928662 End user training for computer vision system
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US Patent 12014320 Systems, devices, and methods for estimating stock level with depth sensor
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US Patent 12062191 Food detection using a sensor array
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US Patent 12124951 Systems and methods for verifying machine-readable label associated with merchandise
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US Patent 11756213 Object detection based on wrist-area region-of-interest
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US Patent 11836957 Event trigger based on region-of-interest near hand-shelf interaction
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US Patent 11887372 Image-based self-serve beverage detection and assignment
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...
Patent Primary Examiner
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Ashford S Hayles
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Patent abstract

A merchandise checkout system for ringing up merchandise in a grocery or other retail facility is disclosed. The merchandise checkout system includes visual sensors for acquiring images of an object to be rung up at checkout; a database configured to retain a visual model and UPC code of known items; and a processor configured to maintain and update the database with information about new merchandise presented for checkout. The visual model preferably includes at least one image of each item of merchandise in the retail store as well as geometric point features extracted from images of the merchandise. The processor in the exemplary embodiment is configured to: (a) compare the image of the object acquired at checkout to the visual model of the items in the database; (b) recognize the object based on the overall appearance of the packaging; (c) automatically ring up the price of the object at the POS; and (d) automatically add the acquired image to the database if the image of the object is new, i.e., it does not match the visual model of any of the items recorded in the database, thereby enabling the checkout system to dynamically and automatically build up its database of visual models.

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