Acknowledgement
본 논문은 2022년 한국연구재단 기초연구실 지원사업 (과제번호:2020R1A4A3079595)의 일환으로 수행된 연구임을 밝히며 이에 감사를 드립니다.
Proceedings of the Korean Institute of Building Construction Conference (한국건축시공학회:학술대회논문집)
- 2022.11a
- /
- Pages.245-246
- /
- 2022
Concrete crack detection method using artificial intelligence
인공지능을 이용한 콘크리트 균열탐지 방법
- Song, Won-Il ;
- Ramos-Sebastian, Armando ;
- Lee, Ja-Sung ;
- Ji, Dong-Min ;
- Park, Se-Jin ;
- Choi, Geon ;
-
Kim, Sung-Hoon
- Published : 2022.11.10
Abstract
Typically, the methods of crack detection on concrete structures include some problems, such as a low accuracy and expensive. To solve these problems, we proposed a neural network-based crack search method. The proposed algorithm goes through three convolutions and is classified into crack and non-crack through the softmax layer. As a result of the performance evaluation, cracks can be detected with an accuracy of 99.4 and 99.34 % at the training model and the validation model, respectively.
Keywords