Autonomous UAV-based pipeline monitoring with YOLOv8 for real-time surface anomaly detection

Key Points

• Surface anomalies were detected in real-time with high accuracy using YOLOv8.
• Key evidence included a precision of 92% in identifying various surface irregularities during tests.
• An automated system using UAVs and YOLOv8 transformed monitoring efficiency compared to traditional methods.
• This analysis supports enhanced pipeline safety, calling for wider application of UAV technology in industrial inspections.