Product identification for self-checkout in customized retail environments

Abstract

This disclosure describes systems and techniques for recognizing, or identifying, produce items being purchased at a self-checkout device. The self-checkout device may use a produce-recognition system that uses image-based recognition techniques so that items, such as produce, may be identified without the need for users to enter in keywords or price look-up (PLU) codes. The produce-recognition system may compare feature representations between the produce to be purchased, produce categories, and produce subcategories. Based on similarities with produce categories and produce subcategories, the identity of the produce item may be predicted. Ranked produce categories and subcategories may presented to the user. The presentation of produce categories and subcategories may depend on confidence levels associated with the predicted produce categories. The produce item may then be identified and added to a virtual cart.