Application of machine learning algorithms in improvement of the textile production efficiency

The light industry of Russia is a large national economic complex, which occupies an important place in the formation of the gross national product and has a significant impact on the economy. This research examines the possibilities of using a hardware-software complex based on machine learning algorithms to automate the process of detecting defects in fabrics at a textile enterprise. Throughout the study, the authors define the main reasons for the urgent need to automate the process of unpacking fabrics, draw up the system of requirements for the hardware-software complex using machine learning algorithms to detect and classify defects in fabrics, justify the effectiveness of the implementation of the developed hardware-software complex. As a result, it was proved that the implementation of this complex will contribute to improving the overall efficiency of textile production by automating the process of fabric quality control.