Nowadays, biometric technologies make it possible to perform this identification or verification practically anywhere and at any time. In information technology, biometrics refers to a system of automatic recognition of persons based on their behavioural and physiological characteristics. The development and progress of this technology have been rapid in recent years. Implementing biometric facial identification by the aerospace industry will influence the next generation of biometrics. The result of this paper offers an analysis of the development of biometric technologies and a comparison of technical and biometric matching and finding out the rate of erroneous photo matching.

In this article, we point out that luggage disinfection is a key step in stopping the spread of infectious diseases that can be contracted at airports due to viruses and bacteria, which can spread through passenger luggage at airports. To prevent the spread of respiratory infections at airports, in this research study, we compare two types of baggage disinfection system. The first method uses UV light to disinfect luggage while selectively checking it for the presence of bacteria and viruses. The second system uses non-selective disinfection, taking into account the possibility of the spread of disease from the aircraft’s home country. An analysis and simulation of a specific airport security procedure was carried out on the model under study, which is an automated system for disinfecting baggage at airports in two variants. The aim is to reduce the transmission of harmful diseases and, at the same time, to ensure the accuracy of passenger security screening by efficiently exhausting each of the proposed models. This research shows that the suggested measures to stop the spread of infectious diseases that travelers’ luggage can bring in will enhance screening procedures and, in particular, boost overall security while lowering the risk of infection transmission at airports.