Point of sale item prediction and validation

A non-transitory computer program product comprising:

• one or more non-transitory computer readable media containing, in any combination, computer program code that, when executed by operation of any combination of one or more processors, performs operations comprising:
• identifying one or more images, captured at a point of sale (POS) system, of one or more items for purchase;
• identifying a measured characteristic of the one or more items for purchase, the measured characteristic comprising at least one of:
• (i) a first weight measured using a weight sensor associated with the POS system or (ii) a footprint measured using one or more pressure or weight sensors associated with the POS system;
• predicting the items for purchase based on analyzing the one or more images using a machine learning (ML) model;
• and
• validating the predicted items for purchase using the measured characteristic.

A system, comprising:

• one or more processors;
• and
• one or more memories storing a program, which, when executed on any combination of the one or more processors, performs operations, the operations comprising:
• identifying one or more images, captured at a point of sale (POS) system, of one or more items for purchase;
• identifying a measured characteristic of the one or more items for purchase, the measured characteristic comprising at least one of:
• (i) a first weight measured using a weight sensor associated with the POS system or (ii) a footprint measured using one or more pressure or weight sensors associated with the POS system;
• predicting the items for purchase based on analyzing the one or more images using a machine learning (ML) model;
• and
• validating the predicted items for purchase using the measured characteristic.