earticle

논문검색

Oral Session II - III : AI and Iot for Security

Research on Smart Cameras for Fire Detection in Building-Integrated Photovoltaics (BIPV)

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

저자정보

  • 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

자료제공 : 네이버학술정보

    함께 이용한 논문

      0개의 논문이 장바구니에 담겼습니다.