SYSTEM AND METHOD FOR IDENTIFYING FOOD TYPES USING A CONVOLUTIONAL NEURAL NETWORK AND UPDATING IDENTIFICATION MODEL WITHOUT RETRAINING

    公开(公告)号:US20240370740A1

    公开(公告)日:2024-11-07

    申请号:US18686510

    申请日:2021-08-27

    Abstract: A method (110) for operating a cooking appliance (10) includes receiving data (16) from an image sensor (14) operably associated with a food-receiving area (12) of the cooking appliance (10), the data (16) comprising an image (24) of a food product (F), determining whether the image (24) of the food product (F) corresponds with one of a plurality of known food product types accessible by the cooking appliance (10) based on an analysis of the image (24) of the food product using an identification model (31), and in response to the image (24) of the food product (F) not corresponding with any one of the plurality of known food product types, designating the image (24) of the food product (F) as a new food product type and causing the new food product type to be added to the plurality of known food product types accessible by the cooking appliance without retraining the identification model (31).

Patent Agency Ranking