Maplebear Inc.

Samuel Slezek

Dominic Cocchiarella

Andrew Peters

Spencer Schack

An automated checkout system aims to detect and disable certain functionalities of an auto-checkout client application if a user exhibits anomalous behavior. The system collects user interaction data to describe the user's interactions with the client device through the application. It then uses a behavior scoring model on the data to generate an anomalous behavior score, indicating the likelihood of anomalous behavior. For instance, if a user scans an item far from its usual location, the score may suggest atypical behavior. The system employs the behavior score to identify functionalities to disable by comparing it to a set of threshold values. Each threshold corresponds to specific auto-checkout application functionalities to be disabled if the behavior score reaches the thresholds. For example, if a threshold is related to identifying items by image capture, the system may disable this feature if the score exceeds the threshold value.

Growing community of inventors

San Diego, CA, United States of America

Samuel Slezek