Vision-based self-service checkout system and method for identifying packaged products and produce

A self-service checkout system, comprising:

• a first computing device having a processor and a non-transitory computer-readable storage medium;
• a set of at least two cameras coupled to the first computing device and having a respective predefined field of view focused on a scan zone, each of the at least two cameras providing a respective output image of the scan zone to the first computing device, each of the at least two cameras providing a different view of the scan zone;
• a checkout tray within the scan zone;
• and
• wherein the non-transitory computer-readable storage medium in the first computing device includes executable instructions that, when executed by the processor, cause the processor to:
• forward the output images from each of the at least two cameras to a machine learning model trained to identify packaged items and suggested produce items to determine that an item placed on the checkout tray by a user during a transaction is a produce item or a packaged item;
• when the item is the packaged item, receive from the machine learning model an identification of the packaged item, and add the identification of the packaged item to a list of items to be purchased;
• and
• when the item is a produce item, receive from the machine learning model a list of suggested produce items, provide the list of suggested produce items to the user via a user interface, and, when the user selects an appropriate item from the list, add the produce item to the list of items to be purchased.