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Title:
DETECTING ITEMS IN SHOPPING CART BASED ON LOCATION OF SHOPPING CART
Document Type and Number:
WIPO Patent Application WO/2024/087094
Kind Code:
A1
Abstract:
An automated checkout system accesses an image of an item inside a shopping cart and a location of the shopping cart within a store. The automated checkout system identifies a set of candidate items located within a threshold distance of the location of the shopping cart based on an item map. The item map describes a location of each item within the store and the location of each candidate item corresponds to a location of the candidate item on the item map. The automated checkout system inputs visual features of the item extracted from the image to a machine-learning model to identify the item by determining a similarity score between the item and each candidate item of the set of candidate items. After identifying the item, the automated checkout system displays a list comprising the item and additional items within the shopping cart to a user.

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Inventors:
GAO LIN (US)
HUANG YILIN (CN)
YANG SHIYUAN (CN)
ZHOU XIAOFEI (CN)
ZHOU XIAO (CN)
LIU QUNWEI (CN)
Application Number:
PCT/CN2022/127935
Publication Date:
May 02, 2024
Filing Date:
October 27, 2022
Export Citation:
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Assignee:
MAPLEBEAR INC (US)
International Classes:
G06Q20/20; G06Q30/06
Foreign References:
US20180218351A12018-08-02
CN108960038A2018-12-07
US20220198550A12022-06-23
CN109643423A2019-04-16
CN114331535A2022-04-12
Attorney, Agent or Firm:
KING & WOOD MALLESONS (CN)
Download PDF:
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