The research involves the development and application of advanced technologies for data collection, processing, and analysis to support risk management and scientific research. The first activity focuses on processing image data from remote sensors, including RGB, multispectral, and LIDAR sensors mounted on unmanned aerial vehicles and satellites. The collected data is mapped onto GIS layers, and risk assessment models are developed using HPC infrastructure.

The second activity is aimed at developing IoT sensors and establishing a LoRaWAN system with accompanying software for monitoring the movement and safety of emergency response personnel in the field, significantly improving operational efficiency and safety in emergency situations.

The third activity includes the development of mobile sensor systems based on RGB and thermal cameras and other sensors, with implementation of edge computing for on-site data processing. By utilizing modern technologies such as Nvidia Jetson, Qualcomm RB5, and Snapdragon 865, fast and local data processing is enabled to support real-time operations.

The fourth activity relates to the optimization and acceleration of computing applications at CERN using various hardware accelerators, with a focus on AMD graphics processors. This enables faster analysis of data collected in high-energy physics experiments and increases the efficiency of research workflows.

All these components are integrated into a comprehensive system for monitoring, analysis, and data management in demanding operational and scientific environments.