Earticle

초록

영어

This study proposes a smart camera system for detecting fires in Building-Integrated Photovoltaic (BIPV) systems. Traditional fire detection methods, such as smoke detectors, temperature sensors, thermal cameras, and videobased surveillance systems, each have specific advantages and disadvantages depending on the environment. However, due to the unique characteristics of BIPV systems, a more sophisticated and integrated detection system is required. In this study, we developed a smart camera system using an NVIDIA Jetson Orin Nano board, a YOLOv5 model, and a Lepton thermal camera to monitor and provide early warnings of fires in BIPV systems in real time. Experimental results across various environments demonstrated that the proposed system offers higher accuracy and reliability compared to existing methods.

목차

Abstract
I. INTRODUCTION
II. RELATED WORK
III. SYSTEM DESIGN AND IMPLEMENTATION
Hardware Setup
Software Setup
IV. EXPERIMENTS AND RESULTS
V. CONCLUSION
ACKNOWLEDGEMENT
REFERENCES

키워드

저자

• Seung-hyuk Choi [ Department of Aircraft Maintenance, Chodang University, Jeonnam, Korea ]
• Dong-woon Choi [ Department of Fire Service Administration, Chodang University Jeonnam, Korea ]
• Heon Jeong [ Department of Fire Service Administration, Chodang University, Jelollanamdo, Republic of Korea ]
• Yoon-soo Go [ Department of Fire Service Administration, Chodang University Jeonnam, Korea ]
• Ji-min Ma [ Department of Fire Service Administration, Chodang University Jeonnam, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국차세대컴퓨팅학회 학술대회

• 간기

  반년간

• 수록기간

  2021~2025

• 십진분류

  KDC 566 DDC 004