公开(公告)号：US20240281817A1

公开(公告)日：2024-08-22

申请号：US18172956

申请日：2023-02-22

Applicant: Maplebear Inc. (dba Instacart)

Inventor： Michael Joseph Sanzari ,  Graham Beauregard ,  Griffin Kelly

IPC: G06Q20/40 ,  B62B3/14 ,  B62B5/00 ,  G06Q20/20 ,  G06V10/70 ,  G06V20/64

CPC classification number: G06Q20/4016 ,  B62B3/1424 ,  B62B5/0096 ,  G06Q20/208 ,  G06V10/70 ,  G06V20/64

Abstract: An automated checkout system accesses an image of an item inside a shopping cart and receives an identifier determined for the item inside the cart. The automated checkout system determines a load measurement for the item inside the cart using load sensors coupled to the cart. The automated checkout system encodes a feature vector of the item based at least on the determined weight, the accessed image, and the determined identifier. The automated checkout system inputs the feature vector to a machine-learning model to determine a confidence score describing a likelihood that the identifier determined for the item matches the item placed inside the cart. If the confidence score is less than a threshold confidence score, the automated checkout system generates a notification alerting an operator of an anomaly in the identifier.

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.

Inventor： Ruoruo Zhang ,  Christopher Benjamin ,  Michael Sandare ,  Lin Gao ,  Graham Beauregard

IPC: G06Q30/018 ,  G06Q20/20

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.