Management System for Automatic Determination of Anomaly Behavior for User of a Smart Shopping Cart

    公开(公告)号:US20250078098A1

    公开(公告)日:2025-03-06

    申请号:US18240301

    申请日:2023-08-30

    Applicant: Maplebear Inc.

    Abstract: A computer system for predicting an anomaly behavior (fraudulent behavior) for a user of a smart shopping cart (physical receptacle). The computer system gathers data associated with a physical activity of the user, the user being physically present at a location of a retailer and adding one or more items from the location of the retailer to the physical receptacle. The computer system applies a computer model to detect, based on the gathered data, one or more anomalies during the physical activity of the user, the one or more anomalies being indicative of the fraudulent behavior. In response to determining that the one or more detected anomalies satisfy a threshold condition for the fraudulent behavior, the computer system sends a communication to a management system of the retailer to cause at least one remedial action to be performed before the user physically leaves the location of the retailer.

    System and method for accurate weight measurement

    公开(公告)号:US11453426B2

    公开(公告)日:2022-09-27

    申请号:US16995157

    申请日:2020-08-17

    Applicant: Maplebear Inc.

    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.

    Visual Recognition and Sensor Fusion Weight Detection System and Method

    公开(公告)号:US20240144789A1

    公开(公告)日:2024-05-02

    申请号:US18408893

    申请日:2024-01-10

    Applicant: Maplebear Inc.

    Abstract: Disclosed are visual recognition and sensor fusion weight detection system and method. An example method includes: tracking, by a sensor system, objects and motions within a selected area of a store; activating, by the sensor system, a first computing device positioned in the selected area in response to detecting a presence of a customer within the selected area: identifying, by the sensor system, the customer and at least one item carried by the customer; transmitting, by the sensor system, identifying information of the customer and the at least one item to a computing server system via a communication network; measuring, by the first computing device, a weight of the at least one item; transmitting, by the first computing device, the weight to the computing server system via the communication network; and generating, by the computing server system, via the communication network, transaction information of the at least one item.

    TRAINING A MACHINE-LEARNING MODEL TO PREDICT LOCATION USING WHEEL MOTION DATA

    公开(公告)号:US20240003707A1

    公开(公告)日:2024-01-04

    申请号:US17873528

    申请日:2022-07-26

    CPC classification number: G01C21/383 G01C21/16 G01S5/0036 G07C5/04

    Abstract: A shopping cart's tracking system receives wheel motion data from a plurality of wheel sensors coupled to a plurality of wheels of the shopping cart, wherein the wheel motion data describes rotation of the plurality of wheels and orientation of the plurality of wheels. The tracking system predicts an estimated location of the shopping cart by applying a machine-learning location model to the wheel motion data. The machine-learning location model is trained with training examples that are generated by: receiving prior wheel motion data from the plurality of wheel sensors, partitioning the prior wheel motion data into a plurality of segments using a time window, receiving one or more baseline locations at one or more prior timestamps, and generating one or more training examples, each training example comprising a segment of prior wheel motion data and a baseline location with a timestamp overlapping the segment.

    Visual recognition and sensor fusion weight detection system and method

    公开(公告)号:US12283165B2

    公开(公告)日:2025-04-22

    申请号:US18408893

    申请日:2024-01-10

    Applicant: Maplebear Inc.

    Abstract: Disclosed are visual recognition and sensor fusion weight detection system and method. An example method includes: tracking, by a sensor system, objects and motions within a selected area of a store; activating, by the sensor system, a first computing device positioned in the selected area in response to detecting a presence of a customer within the selected area: identifying, by the sensor system, the customer and at least one item carried by the customer; transmitting, by the sensor system, identifying information of the customer and the at least one item to a computing server system via a communication network; measuring, by the first computing device, a weight of the at least one item; transmitting, by the first computing device, the weight to the computing server system via the communication network; and generating, by the computing server system, via the communication network, transaction information of the at least one item.

    SHOPPING CART SELF-TRACKING IN AN INDOOR ENVIRONMENT

    公开(公告)号:US20250058814A1

    公开(公告)日:2025-02-20

    申请号:US18937402

    申请日:2024-11-05

    Applicant: Maplebear Inc.

    Abstract: A shopping cart's tracking system determines a 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). 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 and orientation of the one or more wheels. The shopping cart's tracking system calculates a translation traveled by the shopping cart from the 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 baseline location and the translation. The shopping cart provides functionality with the estimated location.

    CART-BASED AVAILABILITY DETERMINATION FOR AN ONLINE CONCIERGE SYSTEM

    公开(公告)号:US20240054449A1

    公开(公告)日:2024-02-15

    申请号:US17936232

    申请日:2022-09-28

    CPC classification number: G06Q10/087 G06V20/52

    Abstract: An online concierge system may use images received from shopping carts within retailers to determine the availability of items within those retailers. A shopping cart includes externally-facing cameras that automatically capture images of the area around the shopping cart as the shopping cart travels through a retailer. The online concierge system receives these images, which depict displays within the retailers from which a picker or a retailer patron can collect items. The online concierge system determines which items should be depicted in the images and which items are actually depicted in the images. The online concierge system identifies which items should be depicted, but are not depicted, and determines that these items are unavailable (e.g., out of stock) at that retailer. The online concierge system updates an availability database to indicate that these items are unavailable and may notify the retailer that the item is unavailable.

    STACKABLE CHARGING DEVICE FOR SHOPPING CARTS WITH ONBOARD COMPUTING SYSTEMS

    公开(公告)号:US20240034381A1

    公开(公告)日:2024-02-01

    申请号:US17936226

    申请日:2022-09-28

    CPC classification number: B62B5/0096 B62B3/1424 G06Q30/06

    Abstract: An automated checkout system uses a shopping cart that is automatically charged when stacked into another shopping cart. Each shopping cart has a front charging connector and a rear charging connector. When a first shopping cart is stacked into a second shopping cart, the front charging connector of the first shopping cart connects with the rear charging connector of the second shopping cart. Electrical power can flow to the first shopping cart via the second shopping cart to charge a battery of the first shopping cart. The second shopping cart may be similarly stacked into a third shopping cart, wherein the second shopping cart receives electrical power from the third shopping cart. The second shopping cart may use this electrical power to charge its own battery or may provide some or all of the electrical power to the first shopping cart to charge the first shopping cart's battery.

Patent Agency Ranking