US Patent 11302161 Monitoring and tracking checkout activity in a retail environment

Methods and systems monitor activity in a retail environment, such as activity in a checkout area (e.g., checkout station) of the retail environment. A convolutional neural network is used to detect objects (e.g., inventory items) or events. Various algorithms may be used to determine whether valid checkout procedures are followed, and/or to determine whether to trigger alerts. Monitored/detected activity may be stored in a database to facilitate a deeper understanding of operations within the retail environment.