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Unmanned aerial vehicle highway disease intelligent detection system based on deep learning

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.
Owner:HEBEI AVIATION INVESTMENT LOW ALTITUDE IND DEVELOPMENT CO LTD +1