The invention relates to the technical field of road detection and
artificial intelligence, in particular to an unmanned aerial vehicle highway
disease intelligent detection
system based on
deep learning. The
system comprises an unmanned aerial vehicle platform, a
data acquisition module, an
image analysis and
processing module, a
deep learning disease detection module, a result output and early warning module and a ground work
station, wherein the
image analysis and
processing module, the
deep learning disease detection module and the result output and early warning module are all arranged in the ground work
station; the
data acquisition module is carried on the unmanned aerial vehicle platform, and the unmanned aerial vehicle platform carries a high-definition camera and is used for flying over an expressway according to a preset
route. According to the invention, by integrating the unmanned aerial
vehicle inspection platform and the YOLOv8-based deep learning model, a set of full-process automatic detection
system integrating efficient
data acquisition, precise disease identification and intelligent early warning decision is constructed, and the efficiency, precision and intelligent level of highway
disease detection are significantly improved.