Research on Application of Drones in Glass Curtain Wall Defect Detection Based on Deep Learning Technology
Aiming at the various defects existing in glass curtain walls,this paper proposes a UAV de-fect detection method for glass curtain walls based on deep learning technology.The defective images of the glass curtain wall are collected by the RGB camera carried by the UAV and imported into the computer for processing,and the defective pictures of the glass curtain wall are classified and recognized by the im-proved YOLOv5 lightweight surface defect detection algorithm,which improves the network convergence speed and generalization ability;finally,the constructed UAV detection system is tested and verified by manually labeling the dataset,and the results show that the system is able to finish the automatic detection and recognition of glass curtain wall defect pictures.This method solves the deficiencies of the current manual detection and traditional visual methods,improves the efficiency of the detection process and the safety of the inspectors,and has certain application value.
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