Journal of the Semiconductor & Display Technology (반도체디스플레이기술학회지)

The Korean Society Of Semiconductor & Display Technology (한국반도체디스플레이기술학회)
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Banner Control Automation System Using YOLO and OpenCV

YOLO와 OpenCV기술을 활용한 현수막 단속 자동화 시스템 방안

  • Dukwoen Kim (Department of Smart Information and Telecommunication Engineering, Sangmyung University) ;
  • Jihoon Lee (Department of Smart Information and Telecommunication Engineering, Sangmyung University)
  • 김덕원 (상명대학교 스마트정보통신공학과) ;
  • 이지훈 (상명대학교 스마트정보통신공학과)
  • Received : 2023.11.09
  • Accepted : 2023.12.12
  • Published : 2023.12.31
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Abstract

From the past to the present, banners are consistently used as effective advertising means. In the case of Korea, there are frequent situations in which hidden advertisements are installed. As a result, such hidden advertisement materials may damage urban aesthetics and moreover, incur unnecessary manpower consumption and waste of money. The proposed method classifies the detected banners into good banner and bad banner. The classification results are based on whether the relevant banners are installed in compliance with legal guidelines. In the process, YOLO and Open Computer Vision library are used to determine from various perspectives whether banners in CCTV images comply with the guidelines. YOLO is used to detect the banner area in CCTV images, and OpenCV is used to detect the color values in the area for color comparison. If a banner is detected in the video, the proposed method calculates the location of the banner and the distance from the designated bulletin to determine whether it was installed within the designated location, and then compares whether the color used in the banner is complied with local government guidelines.

Keywords

Acknowledgement

본 연구는 2023학년도 상명대학교 교내연구비를 지원받아 수행하였음. (2023-A000-0170)

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