Porcelain insulator is an important component of power transmission systems, and its condition detection is essential to ensure safe operation of the power grid. Nevertheless, it is difficult for existing detection models to effectively solve the contradiction between detection accuracy and resource consumption. To address this issue, a high-precision lightweight insulator defect detection model (BCM-YOLO) based on an improved YOLOv8 is proposed. Firstly, bidirectional feature pyramid network (BiFPN), with a simplified bidirectional information flow mechanism, is employed to replace the path a...
