Lightweight Bird Target Detection Method for Bird Infestation Prevention and Control in Substation
In recent years,with the improvement of China's ecological environment and the advancement of power grid construc-tion,the intersection of bird activity ranges with substations and transmission lines has increased,leading to more prominent safety risks.To address the time-consuming and ineffective traditional bird repellent methods,we firstly collected bird images to construct a dataset for model training.Secondly,we applied the PicoDet model for bird detection and proposed evaluation metrics for the object detection model.Finally,the optimized model was inferred and validated,and its performance parameters were compared with different algorithms.By comparing with the commonly used YOLO series object detection models,the proposed PicoDet model has the advantages of high detection accuracy,small memory consumption and fast detection speed,making it suitable for high-precision real-time target detection of birds in substations.
万方数据
维普
