Journal of IKEEE (전기전자학회논문지)

Institute of Korean Electrical and Electronics Engineers (한국전기전자학회)
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Smart window coloring control automation system based on image analysis using a Raspberry Pi camera

라즈베리파이 카메라를 활용한 이미지 분석 기반 스마트 윈도우 착색 조절 자동화 시스템

  • Min-Sang Kim (Department of Intelligent Nano Semiconductor, Hanbat National University) ;
  • Hyeon-Sik Ahn (Department of Electronic Engineering, Hanbat National University) ;
  • Seong-Min Lim (Department of Electronic Engineering, Hanbat National University) ;
  • Eun-Jeong Jang (Department of Electronic Engineering, Hanbat National University) ;
  • Na-Kyung Lee (Department of Electronic Engineering, Hanbat National University) ;
  • Jun-Hyeok Heo (Department of Electronic Engineering, Hanbat National University) ;
  • In-Gu Kang (Department of Electronic Engineering, Hanbat National University) ;
  • Ji-Hyeon Kwon (Department of Electronic Engineering, Hanbat National University) ;
  • Jun-Young Lee (Department of Architectural Engineering, Hanbat National University) ;
  • Ha-Young Kim (Department of Architectural Engineering, Hanbat National University) ;
  • Dong-Su Kim (Department of Architectural Engineering, Hanbat National University) ;
  • Jong-Ho Yoon (Department of Architectural Engineering, Hanbat National University) ;
  • Yoonseuk Choi (Department of Intelligent Nano Semiconductor, Hanbat National University)
  • Received : 2024.03.11
  • Accepted : 2024.03.25
  • Published : 2024.03.31
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Abstract

In this paper, we propose an automated system. It utilizes a Raspberry Pi camera and a function generator to analyze luminance in an image. Then, it applies voltage based on this analysis to control light transmission through coloring smart windows. The existing luminance meters used to measure luminance are expensive and require unnecessary movement from the user, making them difficult to use in real life. However, after taking a photography, luminance analysis in the image using the Python Open Source Computer Vision Library (OpenCV) is inexpensive and portable, so it can be easily applied in real life. This system was used in an environment where smart windows were applied to detect the luminance of windows. Based on the brightness of the image, the coloring of the smart window is adjusted to reduce the brightness of the window, allowing occupants to create a comfortable viewing environment.

본 논문에서는 라즈베리파이 카메라와 함수 발생기를 활용하여 이미지에서 휘도를 분석하고 이를 바탕으로 전압을 인가하여 스마트 윈도우에 착색을 통해 광 투과를 조절할 수 있는 자동화 시스템을 제안한다. 기존 휘도 측정에 사용되는 휘도계는 가격대가 높고 사용자의 불필요한 움직임을 요구해 실생활에서 활용하기 어렵다. 그러나 사진 촬영 후 Python Open Source Computer Vision Library (OpenCV)를 활용한 이미지에서의 휘도 분석은 저렴하고 휴대가 간편하여 실생활에서 쉽게 응용할 수 있다. 이 시스템을 스마트 윈도우가 적용된 환경에 사용하여 창호의 휘도를 검출하였다. 이미지의 휘도를 바탕으로 스마트 윈도우의 착색 조절을 통해 창호의 휘도를 감소시켜 재실자는 쾌적한 시 환경을 구축할 수 있다.

Keywords

Acknowledgement

This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ICT Challenge and Advanced Network of HRD program (IITP-2024-RS-2022-00156212) supervised by the Institute of Information & Communications Technology Planning & Evaluation.

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