SHOPPING CART SELF-TRACKING IN AN INDOOR ENVIRONMENT

    公开(公告)号:US20240001981A1

    公开(公告)日:2024-01-04

    申请号:US17873526

    申请日:2022-07-26

    CPC classification number: B62B5/0096 B62B3/1424 H04W4/029

    Abstract: A shopping cart's tracking system determines a first baseline location of the shopping cart at a first timestamp with a wireless device located on the shopping cart detecting one or more external wireless devices (e.g., RFID tags) in the indoor environment. The shopping cart's tracking system receives wheel motion data from one or more wheel sensors coupled to one or more wheels of the shopping cart, wherein the wheel motion data describes rotation of the one or more wheels. The shopping cart's tracking system calculates a translation traveled by the shopping cart from the first baseline location based on the wheel motion data. The shopping cart's tracking system determines an estimated location of the shopping cart at a second timestamp based on the first baseline location and the translation. With the estimated location, the shopping cart can update a map with the estimated location of the shopping cart.

    DETECTING ITEMS IN A SHOPPING CART BASED ON LOCATION OF SHOPPING CART

    公开(公告)号:US20240144688A1

    公开(公告)日:2024-05-02

    申请号:US18060473

    申请日:2022-11-30

    CPC classification number: G06V20/52 G06Q30/0633 G06V10/761

    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.

    WEIGHT MEASUREMENT ADJUSTMENT AND INHIBITION BASED ON SENSOR MEASUREMENTS

    公开(公告)号:US20220410955A1

    公开(公告)日:2022-12-29

    申请号:US17821876

    申请日:2022-08-24

    Abstract: Disclosed herein relates to a system, comprising: at least one load receiver mounted on a shopping cart or basket and configured to receive an item placed into the shopping cart or basket for a weighing operation; a plurality of sensors configured to detect a plurality of parameters relating to the weighing operation of the item including at least one of: a relative angle between a force sensing axis of the at least one load receiver and a direction of gravity, a motion of the shopping cart or basket, and an ambient temperature surrounding the shopping cart or basket and the at least one load receiver; and a processor configured to determine an actual weight of the item based on at least a portion of the plurality of parameters.

    Shopping cart self-tracking in an indoor environment

    公开(公告)号:US12227219B2

    公开(公告)日:2025-02-18

    申请号:US17873526

    申请日:2022-07-26

    Applicant: Maplebear Inc.

    Abstract: A shopping cart's tracking system determines a first baseline location of the shopping cart at a first timestamp with a wireless device located on the shopping cart detecting one or more external wireless devices (e.g., RFID tags) in the indoor environment. The shopping cart's tracking system receives wheel motion data from one or more wheel sensors coupled to one or more wheels of the shopping cart, wherein the wheel motion data describes rotation of the one or more wheels. The shopping cart's tracking system calculates a translation traveled by the shopping cart from the first baseline location based on the wheel motion data. The shopping cart's tracking system determines an estimated location of the shopping cart at a second timestamp based on the first baseline location and the translation. With the estimated location, the shopping cart can update a map with the estimated location of the shopping cart.

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