US Patent:
20230102876, Mar 30, 2023
Inventors:
- Tokyo, JP
J. Wacho SLAUGHTER - Raleigh NC, US
Evgeny SHEVTSOV - Frisco TX, US
Srija GANGULY - Raleigh NC, US
International Classification:
G06K 9/62
G06Q 20/20
Abstract:
This disclosure describes an automated process for training an ML model used by a computer vision system in a point of sale (POS) system to recognize a new item. Instead of relying on a manual process performed by a data scientist, the automated process can use images of a new (i.e., unknown) item captured at one or more POS systems to then retrain the ML model to recognize the new item. That is, the images of the item are used to retrain the ML model and to test the accuracy of the updated ML model. If the updated ML model can confidently identify the new item, the updated ML model is then used by the computer vision system to identify items at the POS system.