## 1 Introduction  
The ability to perform maintenance processes as fast as possible and with the shortest downtime are the main goals of every maintenance organization. Every machine with moving parts is subjected to wear and necessarily requires service and repair. One of the approaches is to easily plan maintenance processes at scheduled intervals, regardless of the actual condition of the equipment. Planning such a solution is simple, but maintenance may not be timely to prevent equipment damage and hazardous situations, or maintenance may be performed when it is not needed. The fourth industrial revolution in aviation or Aviation 4.0 introduced new possibilities in the field of predictive aircraft maintenance, which can monitor the condition, store, and analyze large datasets in real time. Thanks to the philosophy of the predictive maintenance, it is possible to schedule the replacement of the part in advance, just before the failure occurs, which avoids its additional spreading and worsening. This finding has a significant impact on extending the aircraft's lifespan [1]. The digital revolution driven by the \"Internet of Things\" with its features allows the creation of smart networks, which connect machines, work, and systems as well as allows the mutual exchange of data and commands, the innovation of work tasks, and their autonomous management [2]. Implementing the \"Internet of Things\" into aviation maintenance optimizes both preventive and predictive maintenance by monitoring operational condition, the stress levels of parts and components, and estimating their remaining service life in real time. The sensors send the information in real time to an analysis module to analyze the evaluation of the remaining life. Subsequently, the module sends this notification to the maintenance center, where the necessary actions are performed. The \"Internet of Things\" benefits from the means of inventory management; maintenance and logistics present the improvement of airline's spare parts management operations [3]. The Federal Aviation Administration (FAA) [4] pointed out that aeronautics with its complexity is facing challenges mainly in the field of design and maintenance. The logistic in civil aviation has to fulfill demands for the supply of spare parts as quickly as possible to remote facilities of local operators. Spare parts inventory management for a complex product such as aircraft is very important. According to [PERSON] and [PERSON] [5], aircraft components, which require an unscheduled maintenance, represent 89%. It should be noted that the part's availability and reliability is the key in today's aerospace industry. In addition, the ability to track parts is crucial for safety and compliance with regulatory requirements [6]. Thanks to technical progress, augmented and virtual reality devices have become affordable and inexpensive products on the market. Due to the high rate of processes performed by aviation industry personnel, cognitive support systems will play an essential role in the future [7]. These devices have great potential for use in sophisticated applications. Efforts are currently being made to implement augmented reality technologies, their possible applications being, for example, support systems for staff training, performing indirect maintenance or inspections, and assembly processes [8; 9; 10]. The number of unmanned aerial vehicles (UAVs) with the number of areas in which they are used as a working tool is growing worldwide [11; 12]. They became an integral part of many services such are army, police, rescue services. The unique capabilities of unmanned aerial vehicles allowed them to be appropriate equipment in remote sensing, construction, industry, research, transport, and logistics [13; 14], facilitated by advancements in UAV technology, compatible sensors, and computer software [15]. Moreover, great attention is paid especially to quadrocopters, which could be used in a variety of scenarios.