Improving the Efficiency of Search and Identification Projects of Missing People in Extraordinary Situations With Application It Technology

Abstract

Purpose. The purpose of the work is to analyze the existing projects of search and identification of missing people in emergency situations with the use of IT technologies and to establish ways of improving the effectiveness of the population protection system in emergency situations. Methodology. Special research methods were used to conduct the study: methods of collecting and summarizing information, critical analysis with elements of forecasting. Results. Information has been collected and summarized to improve the efficiency and effectiveness of projects aimed at finding victims in emergency situations, which helps facilitate communication, data collection, analysis and distribution of resources in order to provide them with timely qualified assistance. The effectiveness of the work of various services and organizations and the factors that depend on the time of searching for injured and missing people in emergencies and, accordingly, the ability to provide them with assistance in time, have been analyzed. The system of providing timely assistance in emergency situations is generalized, consisting of separate stages, each of which can act as a separate stage of one project or as a separate project. The study shows that the existing projects on the search and identification of missing people using IT technologies in Ukraine face a number of challenges and shortcomings that may limit their effectiveness. This assessment of the possibilities of existing projects aimed at finding victims of natural disasters implemented in Ukraine and establishing the ways to improve their effectiveness. High-tech solutions and innovative technologies have been characterized. The methods of identification of an undocumented person using IT technologies, identification of a person, which is the ultimate goal of the search, have also been analyzed. A SWOT analysis has been conducted, which showed that projects aimed at searching for victims of natural disasters with the use of IT technologies have a number of strengths and opportunities. Scientific novelty. The application of artificial intelligence (AI) with the use of machine learning and neural network technologies for forecasting the required time of work and resources in hybrid projects has been shown. Practical significance. Promising ways to increase the effectiveness of these projects are the creation of a single online platform for combining the efforts of coordinating actions between all project participants, performing database integration, expanding the surveillance network in cities and settlements, applying artificial intelligence (AI) and data analytics, applying telemedicine and medical records, integration with international databases.