Researchers are exploring new methods for high-precision non-destructive inspection of blade surfaces. Different approaches are being considered, including the use of self-learning transformer networks and hybrid reconstruction discriminative networks. Additionally, techniques such as YOLO-Wind are being developed to enhance damage detection in wind turbine blades.