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The paper considers the current situation in the air transportation market in Ukraine. It is shown that, in the Ukrainian segment of the global aviation market, the effectiveness of passenger traffic and air transportation in reference to passenger per kilometer may grow in national and international flight routes. The authors justify the rapid increase in civil aviation efficiency and high capability of the air transport industry of Ukraine, taking into account the global rates of civil aviation development.

The article considers the possibilities of automated use of robotic equipment in order to form an infrastructure for moving goods at enterprises. Areas of application of algorithmic programming languages of object-oriented type in robotics are investigated. The algorithm of operation of a transport vehicle, the movement, which is based on the recognition of the line of motion, describing the route of movement, is presented. The analysis of the peculiarities of the implementation of such problems with the use of OpenCv software library was carried out. The structure of the vehicle is proposed, in particular: its driving mechanisms, control scheme, engines and wheelbase. Further development was made to the algorithms for the management of crawler lorries and the ways of their program realization in various spheres of entrepreneurial activity, where there is a need for the transfer of cargoes in the ordinary areas (construction sites, forest lands, open warehouses, airports, etc.). Based on the proposals for creating a cargo robot that can be moved according to a given route, the model of control system of conveyor systems, which solve the issues of automation of technological processes in the part of the addition of conveyor systems, is presented. The analysis of literary sources describing the necessity of creating mobile conveyor systems in production, which enables to quickly re-equip production processes to unforeseen needs, was carried out.

The paper considers the different methods of image recognition in unmanned aviation using modern programming languages. It is shown that the new era in aviation is characterized by new challenges and threats, as well as uncertainty, and it is not always possible to identify a threat through standard means of control. The authors summarize the various methodologies of analysis and justify the algorithm for recognition zones of video observation of possible icing of the surface of the aircraft. The tested methods, in general, were divided into three groups: the preliminary filtering and image preparation, the logical processing of the results of the filtering and—machine learning which in general are divided into three groups. The filtering that allows highlighting of images in the recognition area, linearization, the transformation of “Hafa” and filtering contours as a separate class of filters were selected as the main methods of filtering images. The authors propose to use a device that can determine possible areas of icing of aircraft using airborne meteorological radar. The problem is the ratio of the image, which was before the icing, and the changes in this image in the presence of ice.