Deep learning based Nuclear Power Plant Monitoring System using UAV

초록

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.

제목
Deep learning based Nuclear Power Plant Monitoring System using UAV
저자
Seo, Jong Wan; Han, Seung Heon; Shin, Soo Young
DOI
10.1109/ICEIC51217.2021.9369789
발행일
2021-01
학회명
20th International Conference on Electronics, Information, and Communication (ICEIC)
개최지
SOUTH KOREA
개최국가
대한민국
학회 개최일
2021-01-31 ~ 2021-02-03