The article discusses the system, the basis of which can be divided into two parts, hardware and software. The hardware part is a single-board computer and software using, which includes the use of neural network algorithms. This system is able to extract the necessary information from the photo and/or video frame specified by the parameters when receiving images from the satellite. This possibility is relevant, because at the moment the trend is that large enterprises want to have at least a few small spacecraft on their account and in this regard they face a number of problems associated with limited mass and size of payload devices. Due to these certain limitations, the processing of satellite frames takes place on Earth, and not on the device itself. Image processing on the spacecraft makes it possible to send only individual fragments of data and not clog the transmission channel, which saves traffic and time. Also, it makes it possible to process data on the spacecraft itself 24/7. This becomes possible thanks to the Python programming language and the trained convolutional neural network. The neural network is connected through the free library TensorFlow. The purpose of this work is to describe the features for solving the problem of classification of objects (pattern recognition).

Significant improvements have been made to measurement systems to meet changing market requirements. Such a rapid change and development of measuring technology is primarily due to the requirements for accuracy and accuracy in aerospace and other manufacturing industries. Coordinate-measuring machines (CMM) gave a new impetus in the field of geometric and dimensional metrology. CMM in the industrial environment has become an important resource for quality systems, monitoring production processes, reducing errors in the production process, checking product specifications and constantly improving quality. Although modern CMMs can better meet the needs of rapidly growing customer requirements, there are still many opportunities to improve and develop CMM. The globalization of production has led to the development of many complex products and the automation of mechanical components. Therefore, there is a need to develop a technique for controlling the thickness of the residual web for parts with geometrically complex surfaces. Using the creation of measurement map templates in the CAD system, scanning scans in the standard laser tracker software, as well as creating appropriate leaders with subsequent loading into the CAD system.

Зроблено аналіз специфіки управління персоналом державної служби в країнах-членах ЄС. Проаналізовано досвід управління персоналом державної служби та можливості використання в Україні в період великих реформ. Особливу увагу приділено модернізації державної служби та адаптації її до українських умов, наближення до ідеального типу управління з найменшими перепонами в період адміністративного реформування.