Violation detection in power operation sites based on multi-scale detection and few-shot learning

IntroductionSafety supervision at power operation sites is critical for ensuring worker safety and maintaining a reliable electricity supply. However, existing safety violation detection methods are constrained by limited labeled data, poor performance on small-object detection tasks, and interference from complex backgrounds.MethodsTo overcome these challenges, this study proposes a framework that integrates multi-scale object detection with few-shot learning. A multi-scale feature extraction m