Detecting concrete defects in industrial environments can be difficult due to the lack of reliable detection methods. To address this issue, we propose the development of an autonomous drone that uses YOLOv8, an advanced object detection algorithm, to accurately and rapidly detect and locate concrete defects. The drone will acquire data and navigate its environment with exploration and pose estimation capabilities, enhancing its ability to identify defects.