Real Time Fault Detection Method for High-voltage Transmission Line Inspection Based on Improved YOLOv5?s
A real-time fault detection method for high-voltage transmission line inspection based on improved YOLOv5 s is proposed to address the issues of low efficiency in traditional inspection processes.Add the Convolutional Block Attention Module(CBAM)to the last layer of the YOLOv5 s backbone network,and assign weights to the feature maps from two aspects:channel attention and spatial attention.The proposed method was trained and validated in images obtained by drones,and the results showed that compared to YOLOv3 and YOLOv5 s,the proposed method can maintain high detection accuracy while maintaining faster speed.
object detectionYOLOv5sline inspectionhigh voltage transmission lines
NETL
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