The invention relates to the field of computer technology, in particular, to the field of formation of training data for neural networks at retail, including automated, sales points, as well as to the field of using artificial neural networks in computer vision, and more specifically to systems and methods of image processing received from image registration devices and can be used, at least, to determine the list of purchased goods through image processing using artificial neural networks. Currently, in supermarkets, on average, there can be more than fifteen thousand unique stock keeping unit SKU items that have unique designs. Every month, about ten percent of the products can change their design, so that the entire range can be completely renewed during the year, and some products change design several times a year. Retail chains are interested in keeping their shelves full, which is difficult to control. One solution is unmanned or guided aerial vehicles drones, multicopters, such as quadcopters, etc.
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