The paper presents modern systems for controlling the moisture content of fabrics, which are aimed at improving the efficiency of production processes in the textile industry. The main goal of the study is to create a device that provides accurate, fast and uniform measurement of the moisture content of textile materials without destroying their structure.
The system is based on the use of infrared sensors that analyze the intensity of reflected radiation, which varies depending on the moisture content of the material. Integration with a microprocessor platform allows for automatic data processing, storage of results and their transfer to a centralized production management system.

The master's thesis contains an introduction, three chapters, conclusions and a list of references. The master's thesis includes 113 pages, including 17 figures, a list of references and 30 table.
The purpose of the master's thesis is to improve the measuring system and coordinate measuring machine (CMM), in particular, the development of a motorized servo head for CMM, which will ensure the accuracy of measurements under variable loads and angular positions.
To achieve the goal, the following tasks were performed: development of a model of a motorized servo head for CMM, which includes servo motors, a worm gear reducer. Calculation of the gear ratio of the reducer to ensure the required accuracy of measurements.

Relevance of the topic.
    In the modern era of digital development, the automation of the processes of processing and analysis of cartographic images is gaining more and more importance. Segmentation of a cartographic image is one of the key stages in the process of digital processing of maps, which allows you to distinguish and classify various objects of the area: water bodies, forests, urban development, transport infrastructure, etc. Automation of this process not only significantly speeds up the processing of large sets of map data, but also completes the accuracy and objectivity of the results.
The expediency of this study is determined by the rapid development of geographic information systems (GIS) and the growing need for operational updating of cartographic information. The use of machine learning and computer vision methods for solving segmentation tasks deserves special attention.

Relevance of the topic
Modern industry actively uses ultrasonic technologies for quality control of materials and products. Ultrasonic non-destructive testing is one of the most effective methods for detecting internal defects, which helps to ensure the reliability of structures and prevent emergencies. However, processing and analysing the data obtained during ultrasonic testing remains a challenging task requiring high accuracy and speed.

Relevance of the topic
Today, the problem of ensuring the security of office premises from unau-thorized access is becoming increasingly important. The use of modern equip-ment and valuable information in offices requires the creation of a reliable secu-rity system capable of preventing threats and responding quickly to emergen-cies.
The development of digital technologies and the integration of IoT solu-tions open up new opportunities for improving security sys

АСНК КПІ ім. Ігоря Сікорського, 2021