title: ÐÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ñ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´ÑÑÐ²Ð° ÑÐµÐºÑÑÐ¸Ð»ÑÐ½ÑÑ Ð¸Ð·Ð´ÐµÐ»Ð¸Ð¹
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Using machine learning algorithms to improve the efficiency of textile production
Creators: name: ÐÑÑÐ¼Ð¸Ð½Ð°, ÐÐ½Ð°ÑÑÐ°ÑÐ¸Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: ÑÐµÐºÑÑÐ¸Ð»ÑÐ½Ð°Ñ Ð¿ÑÐ¾Ð¼ÑÑÐ»ÐµÐ½Ð½Ð¾ÑÑÑ
Ð´ÐµÑÐµÐºÑÑ ÑÐµÐºÑÑÐ¸Ð»ÑÐ½ÑÑ Ð¸Ð·Ð´ÐµÐ»Ð¸Ð¹
ÐºÐ¾Ð½ÑÑÐ¾Ð»Ñ ÐºÐ°ÑÐµÑÑÐ²Ð°
Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾-Ð°Ð¿Ð¿Ð°ÑÐ°ÑÐ½ÑÐ¹ ÐºÐ¾Ð¼Ð¿Ð»ÐµÐºÑ
Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÑ Ð²Ð½ÐµÐ´ÑÐµÐ½Ð¸Ñ
textile industry
defects of textile products
quality control
software and hardware complex
neural networks
efficiency of implementation

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description: The aim of the work is to present the possibility of using the software and hardware complex based on machine learning algorithms to automate the process of detecting fabric defects in a textile enterprise. The following objectives were achieved: â to describe the object of study - a textile industry enterprise; â to identify the need for automation of the process of sorting fabrics; â to develop a software and hardware complex using machine learning algorithms for the detection and classification of defects in fabrics; â to evaluate the effectiveness of the implementation of the developed software and hardware complex. The relevance of the work is due to the results of the implementation of the software and hardware complex: increasing the accuracy and speed of detecting defects, minimizing the human factor, and reducing the likelihood of defective products. The sources of information were the materials of the textile enterprise Â«TextileÂ» LLC, research literature and Internet resources. Methods used in the work: business process modeling, comparative analysis, study and analysis of literature, multicriteria decision analysis, classification, performance evaluation. The result of the work is the increase of efficiency of the production of textile products due to the developed software and hardware complex for automating the process of fabrics quality control. Conclusions: the tasks set in the thesis were solved; the goal of the thesis was achieved.