External winding inspection unmanned aerial vehicle and method based on deep learning

The invention provides an external winding inspection unmanned aerial vehicle and method based on deep learning. The external winding inspection unmanned aerial vehicle is composed of a rack 1, motors 2, rotors 3, a control box 4, a power supply 5, a data receiving and transmitting assembly 6, a positioning assembly 7, a circumferential camera assembly 8 and a vertical camera 9. The control box 4 comprises a flight control module, a GPU deep learning processing module and a storage module; the flight control module controls flight attitude, data transceiving, camera positioning, data calling and the like, the GPU deep learning processing module processes images and discriminates parts, needing to be maintained, of an airplane, and the storage module stores a trained deep learning target detection network model. According to the invention, winding inspection and damage judgment are automatically carried out in the whole process instead of manual work, the automation degree is high, time is saved, manual damage