Abstract:
With the increasing utilization rate of glass insulators in transmission lines, in order to adapt to the current mode of unmanned aerial vehicle (UAV) -assisted inspectio...Show MoreMetadata
Abstract:
With the increasing utilization rate of glass insulators in transmission lines, in order to adapt to the current mode of unmanned aerial vehicle (UAV) -assisted inspection, a modified YOLOv7 glass insulator self-explosion defect detection method is proposed to meet the demand for glass insulator defect detection in the process of transmission line inspection. ST attention mechanism was introduced, and its module was added to the 11th layer of YOLOv7 network model to strengthen the detection effect of small targets and incomplete insulators. The coordinate loss function was modified, the formula of SIOU loss function was defined, and the position of detection box was corrected. Some glass insulator images in the data set CPLID and the glass insulator images taken by the UAV are used to train the modified network. The detection results show that the detection accuracy and speed are significantly modified.
Published in: 2023 IEEE 5th International Conference on Power, Intelligent Computing and Systems (ICPICS)
Date of Conference: 14-16 July 2023
Date Added to IEEE Xplore: 05 September 2023
ISBN Information: