Patent ID: 11907841
Assignee: nan
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. A method for identifying consumer products comprising the steps of:
providing a camera system, the camera system creating an image set of a known consumer product for storage on a database, the image set comprising a plurality of images having a pixel size of 3840×2160 pixels;
providing a neural network, the neural network:
selecting five core images from the image set of the known consumer product;
compressing each of the five core images to a square 1080×1080-pixel frame;
designating the five core images as a template image set for template matching;
assigning a plurality of identification tags to the template image set, wherein the plurality of identification tags is based on characteristics of the known consumer product; and
generating a machine learning model which is trained based on the assigned plurality of identification tags to output the known consumer product; and

providing a recognition application, the recognition application:
receiving an input image of at least one unknown consumer product;
assigning a general classification to the at least one unknown consumer product within the input image;
selecting one template image set from a plurality of template images sets stored on the database, wherein the selected template image set belongs to the same general classification as the at least one unknown consumer product within the input image;
applying a template matching algorithm to compare the input image of the at least one unknown consumer product to the selected template image set;
determining whether a match between the input image of the at least one unknown consumer product and the selected template image set is greater than 99%, between 90% and 99%, or less than 90% accurate; and
sending information relating to the at least one unknown consumer product to an electronic device of a consumer when the match between the input image of the at least one unknown consumer product and the template image set of the known consumer product is greater than 90%, between 90% and 99%.