STUDY OF MACHINE LEARNING METHODS TO ENSURE INFORMATION SECURITY IN RETAIL TRADING OPERATIONS

The problem of distortion and substitution of information when performing transactions
in retail trade using self-service checkouts leads to a decrease in the profits of enterprises. The introduction
of weight recognition tools using machine-learning methods will increase the level of
protection for retail transactions. The paper analyzes various training methods and builds a network
model that allows, with a small amount of labeled data, to obtain good recognition results in the
field of retail.