YOLOv8-SC:Target Detection Algorithm of Live Detection System for Tensioning Clamps in High-Voltage Transmission Lines

The live detection system for tensioning clamps based on unmanned aerial vehicles is the development direction of routine inspections for high-voltage transmission lines. The detection of tensioning clamps in real-time in complex environments is the fundament of this system. Addressing this problem, YOLOv8-SC is proposed based on YOLOv8. Replacing the original C2f module with the new C2fG-Ghost module, and a GAM attention layer is added to the backbone network. A binocular 3D coordinate detection algorithm is added to obtain the relative position of the target. Experiments show that the improved algorithm improves by 2.7% and 7.0% on mAP50 and mAP50-95, respectively, and the F1-score improves by 2.4%. Experiments on-site verified that this algorithm could loaded on a portable intelligent terminal with a detection speed of 89 FPS, which satisfied the real-time demands.