대한건축학회논문집 (Journal of the Architectural Institute of Korea)

  • 제39권6호
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  • Pages.39-46
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  • 2023
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  • 2733-6239(pISSN)
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  • 2733-6247(eISSN)
대한건축학회 (Architectural Institute of Korea)
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전통건축 유지관리를 위한 인공지능 기반 손상기와 검출

Artificial Intelligence-Based Detection of Damaged Roof Tile for the Maintenance of Traditional Buildings

  • 투고 : 2022.11.22
  • 심사 : 2023.04.08
  • 발행 : 2023.06.30
⟨ 이전 논문 다음 논문 ⟩

초록

The roof of traditional Korean buildings is a part that suffers much damage, whereas monitoring is not performed smoothly due to accessibility difficulties. This study aims to detect automatically damaged roof tiles using AI and drones to maintain traditional buildings. Information on roof tiles is extracted through drone image photography, and an automatic object detection function is utilized through the YOLOv5 algorithm. As a result, through this study on the maintenance of traditional Korean buildings, it is possible to easily inspect the tiles and check the damage status of the roof tiles.

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과제정보

이 연구는 한양대학교 교내연구지원사업 (과제번호: HY-202100000003463)과 2021년도 정부(교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 기초연구사업임. 과제번호:NRF-2021R1I1A4A01056401

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