Abstract

Purpose of research. Currently, mathematical methods of video sequence analysis represent a structured set of approaches to image recognition based on the difference in the glow of different image areas. Many of these values are described using mathematical dependencies, however, existing approaches work only for standard images obtained during video data processing. The purpose of this study is to develop a new approach to analyzing images obtained, including those using terahertz radiation, which has specific characteristics, both physical and mathematical.Methods. The following theoretical and empirical scientific methods were used in this study. Analysis (the analysis of the currently known mathematical methods of image processing in order to recognize images is carried out). Synthesis (a fundamentally new approach to security systems is proposed, which is a single system consisting of separate interconnected subsystems). Modeling (an information model of a security system based on ACS has been developed using a system for analyzing and recognizing potentially dangerous objects based on a real-time video stream).Mathematization (the image analysis system is described in the language of mathematical laws and formulas).Results. As a result of the research based on the analysis of modern materials, the concept of a security system based on real-time video sequence analysis with the use of advanced object scanning technologies is proposed in the future. As the main innovation, an improved Viola-Jones image analysis method is proposed using an additional set characterizing the feature space of objects in the terahertz radiation range.Conclusion. The use of high-frequency scanning technologies with intelligent object image recognition systems in real time will significantly reduce the risks of intruders entering protected facilities, as well as increase the safety of citizens with relatively low costs for the development and implementation of upgraded security systems.

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