Proceedings of the Korean Institute of Building Construction Conference (한국건축시공학회:학술대회논문집)

The Korean Institute of Building Construction (한국건축시공학회)
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Study on the Image-Based Concrete Detection Model

이미지 기반 콘크리트 균열 탐지 검출 모델에 관한 연구

  • 김기웅 (대진대학교, 건축공학과) ;
  • 유무영 (대진대학교, 건축공학과 )
  • Published : 2023.11.10
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Abstract

Recently, the use of digital technology in architectural technology is gradually increasing with the development of various industrial technologies. There are artificial intelligence and drones in the field of architecture, and among them, deep learning technology has been introduced to conduct research in areas such as precise inspection of buildings, and it is expressed in a highly reliable way. When a building is deteriorated, various defects such as cracks in the surface and subsidence of the structure may occur. Since these cracks can represent serious structural damage in the future, the detection of cracks was conducted using artificial intelligence that can detect and identify surface defects by detecting cracks and aging of buildings.

Keywords

Acknowledgement

본 논문은 한국연구재단의 개인기초연구사업(NRF-2021R1G1A1094487)의 지원을 받아 수행된 연구임을 밝히며 이에 감사를 드립니다.

References

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