In allusion to the relatively high failure rate in the running of power lines,a target detection algorithm based on deep learning is proposed,which selects a YOLOv8 model as the core detection model and train the model based on more than 7772 images,and then tests 300 power line defect images.The test results show that the YOLOv8 model adopted is available to accurately detect the local defects of power lines,and assist in manual power inspection,reduce the overuse of manual resources,and improve the efficiency of inspection.
关键词
电力线路/局部缺陷检测/YOLOv8模型/图像预处理
Key words
power line/local defect detection/YOLOv8 model/image preprocessing
维普
万方数据