No abstract

Currently, computer vision technologies used in event monitoring systems to solve security problems in the field of transport, data protection, medicine are becoming an increasingly promising direction. Video surveillance sys-tems generate petabytes of data every day, and only a small part is used in processing. The use of video analytics will eliminate the need for storing and processing unnecessary data, their manual viewing, which will directly affect the cost, complexity and speed of solving operational production tasks of responding to incidents. The data from video cameras, information collected from different sources and used together for analysis would make it possible to more effectively and quickly identify and prevent various undesirable events. It is possible to automate the analysis of complex structured data, reducing the influence of the human factor, eliminating errors and abuses, using artificial intelligence methods, neural networks. But modern intelligent video analytics systems have drawbacks. Many systems are focused on the recognition of a certain type of images, can work in limited subject areas and under certain environmental conditions. Recognition algorithms are associated with a large number of false positives, especially in conditions of a rapidly increasing data volume, the degree of uncertainty of input information, therefore, it is proposed to supplement event monitoring systems. The systems contain a large number of settings and rules, which complicates the understanding of the system. There have been described the difficulties of using biometric data in recognition systems due to the legal restrictions, the main stages of designing an event monitoring system, its model, which combines elements of fuzzy logic and pattern recognition methods.

Improving the quality of organizing the educational process and ensuring training of the qualified specialists are the leading tasks of the modern education system in Russia. An important condition for solving these problems is to expand the practice and use of innovative forms of education and the introduction of information pedagogical technologies. EdTech (Education Technology) develops rapidly in Russia: the number of people who completed various online courses has increased almost 3 times (from 14.5 to 41.3%) in 2021, more than 18 million people received online education, among them more than 2.5 million people have mastered different IT professions, and spending on online education over the past 12 months amounted to 226 billion rubles. Informatization of the education system entails a rapid increase in some developed electronic educational resources, e-learning systems and e-learning courses. Analysis of the e-learning effectiveness was carried out, modern Russian e-learning systems and their foreign counterparts were analyzed, a proper e-course was created on the base of the LMS Moodle platform, which is adaptable to the conditions of the educational process in the disciplines of higher educational institutions and schools. The electronic resources have been classified and the most successful combination of them in a training course for the successful solution of modern educational problems has been identified. The importance of using LMS and LCMS e-learning systems is stated, which is the best option for use in higher education institutions thanks to automated learning management, remote access to educational content, scalability and flexibility of the learning management system. The development of an electronic training course contributes to the effective and high-quality training of specialists in the field of information security.