Deep learning based Nuclear Power Plant Monitoring System using UAV

This paper proposes a nuclear power plant monitoring system using drones. Existing surveillance systems have a disadvantage in that manpower is wasted due to the blind spots of fixed observatories and CCTVs, and it is impossible to quickly respond to situations. The proposed system detects motion winners and suspicious vehicles around nuclear power plants by using object detection technology using thermal imaging cameras and autonomous flight technology and also measures radiation levels and temperature data using Geiger counters and temperature sensors. Data can be transmitted through the 5G/LTE module and monitored in real-time.