FIELD: computing technology.
SUBSTANCE: invention relates to a product identification system for a retail trade cash terminal, applying, in particular, machine learning using a set of training data of products for visual classification of the used type of products while providing image data recorded in the terminal. Proposed are systems and methods including starting from a first number of images, creating a second number of images by means of digital operations with the first number of images, selecting indicators from the second number of images and creating a classification model by training the neural network on the second number of images, wherein the classification model provides a percentage probability of image categorisation, implementing the classification model in the processor, and obtaining an image for categorisation, wherein the processor is connected with a system of cash terminals, wherein the processor utilises a classification model in order to provide output data of the percentage probability of image categorisation for the system of cash terminals.
EFFECT: categorisation of images of products using machine learning.
22 cl, 17 dwg, 2 tbl
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Authors
Dates
2022-04-07—Published
2018-12-20—Filed