INTELLIGENT SYSTEM FOR ANALYZING MINE PLACEMENT

Abstract

The article addresses the problem of detecting and analyzing the placement of mines in minefields. An intelligent system is proposed, aimed at enhancing safety during demining operations. A new intelligent information-measuring system for minefield analysis is considered. This system is based on the use of ground-penetrating radar (UAVs with sensors) that provide continuous monitoring of the surrounding area. Surface analysis is performed using high-resolution electromagnetic waves and infrared radiation. Mine detection is achieved through intelligent methods. During the development of the intelligent system, great attention is paid to improving the accuracy of mine detection and other threats. Machine learning is used to achieve this goal. This allows for the rapid detection of mines and other threats related to explosive devices.
The main focus is on developing algorithms for processing and analyzing data obtained from sensors. Information processing from ground-penetrating radars enables operators to make quick decisions regarding movement routes and safety measures. Using ground-penetrating radars and analyzing the data obtained from them can increase the speed and accuracy of demining, reduce the risk of explosions, and optimize the use of resources by sapper units. The article also addresses the integration of this system with existing information systems and the possibility of their further development.
The proposed system reduces the time required for demining, which is critically important in active combat conditions. Implementing this technology will help save the lives of military personnel and civilians in conflict zones. This system can become an important step in ensuring the safety of military units and improve their combat effectiveness in modern armed conflict conditions.