| Title |
Artificial Intelligence-Based Detection of Damaged Roof Tile for the Maintenance of Traditional Buildings |
| Authors |
임수영(Lim, Su Young) ; 전한종(Jun, Han-Jong) |
| DOI |
https://doi.org/10.5659/JAIK.2023.39.6.39 |
| Keywords |
Traditional architecture; Roof tiles; Building maintenance; artificial intelligence; drone |
| Abstract |
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. |