Attention-Driven YOLOv8 with Feature Fusion for Intelligent Insulator Defect Detection in Power Transmission Lines

Key Points

• Improved defect detection rates indicate that the attention mechanism enhances performance overall.
• The system achieved a 95% accuracy rate in identifying defects on power transmission lines.
• Analysis using YOLO (You Only Look Once) algorithm demonstrated effective feature fusion for object detection.
• This approach may enable real-time monitoring of infrastructure, calling for further testing in diverse environments.