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Deep learning based Nuclear Power Plant Monitoring System using UAV
- Seo, Jong Wan;
- Han, Seung Heon;
- Shin, Soo Young
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
- 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
- 언어
- ENG