한국정보통신학회논문지 (Journal of the Korea Institute of Information and Communication Engineering)

  • 제23권12호
  • /
  • Pages.1742-1745
  • /
  • 2019
  • /
  • 2234-4772(pISSN)
  • /
  • 2288-4165(eISSN)
한국정보통신학회 (The Korea Institute of Information and Commucation Engineering)
권호 표지
DOI QR코드

DOI QR Code

오픈소스 하드웨어를 사용한 저비용 열화상 잔불탐지 장치 개발

Development of a Low-Cost Thermal Image Hidden Fire Detector Using Open Source Hardware

  • Moon, Sangook (Department of Electronic Engineering, Mokwon University)
  • 투고 : 2019.11.18
  • 심사 : 2019.11.23
  • 발행 : 2019.12.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Hidden flame detection after allegedly extinguishing a fire cannot be emphasized enough. There are a few commercial hidden fire detection equipments which are imported, but the cost is relatively high. In this contribution, we propose a development of a low-cost, high-performance hidden flame detector using open-source hardware/software. We use Raspberry-pi based hardware board equipped with a TFT touch-screen LCD, a 3G modem, and an attachable battery device altogether integrated in a plastic case fabricated with a 3D printer. The proposed hidden flame detector shows the same performance of a commercial product FLIR E5 while consuming less than a half of the cost.

키워드

과제정보

This work was supported by the Technology Development Program (201900010001) funded by the Ministry of SMEs and Startups (MSS, Korea)

참고문헌

  1. Forest fire anti-respreading managemant technology, National Institute of Forest Science, technical paper, vol. 371, registration number 11-1400377-000-350-01, 2009.
  2. Thermal imaging for machine vision and industrial safety pplicatons [Internet]. Available: https://www.flir.com/.
  3. Lepton 3-3.5 datasheet [Internet]. Available: https://www.flir.com/globalassets/imported assets/.
  4. V. Muenzel, A. F. Hollenkamp, I. Bhatt, D. A. Thomas, and I. Mareelsa, "A Comparative Testing Study of Commercial 18650-Format Lithium-Ion Battery Cells," Journal of The Electrochemical Society, vol. 162, no. 8, pp.1592-1600, May. 2015.
  5. J. Newmarch, Raspberry Pi GPU Audio Video Programming, Apress, 2016.
  6. S. L. Hlmg, and H. Shivkumar, "Implementation of Image Processing on Raspberry Pi," International Journal of Advanced Research in Computer and Communication Engineering, Korean Neuropsychiatr Assoc, vol. 4, no. 5, pp. 199-207, May. 2015. https://doi.org/10.17148/IJARCCE.2015.4545
  7. Building for Raspberyy Pi [Internet]. Available: https://github.com/groupgets/GetThermal/wiki.
  8. J. C. Blanchette, and M. Summerfield, C++ GUI Programming with Qt 4, Second Edition, Prentice Hall Open Source Software Development Series, Feb. 2018.
  9. S. Moon, "A High-Security RSA Cryptoprocessor Embedded with an Efficient MAC Unit," Journal of information and communication convergence engineering. vol. 7, no. 4, pp. 516-520, 2009.
  10. Technical Data FLIR 5 [Internet]. Available : http://www.termogram.cz/pdf/produktovelisty/.