A Method for Transmission Line Defect Detection Based on STM32
Based on STM32 microcontroller wireless transmission system design,while combining the Bluetooth module,sensor module transmission,the image data of the transmission line are obtained.Targeting at the characteristics of the single image background and poor quantity of data sets of transmission lines,a defect-detecting method for transmission lines grounded on improved YOLOv7 is devised.Firstly,automatic data enrichment is used to solve the problem of small sample data.Secondly,the backbone network is replaced by the ConvNeXt backbone network,and the ECA is introduced into the ConvNeXt backbone network.A new algorithm that uses BiFPN for fea-ture fusion is proposed,replacing PANet.Ablation and comparative experiments are conducted to verify the effectiveness and superiority of the devised algorithm.The consequences demonstrate that the improved algorithm achieves an mAP of 92.27%,which is 2.65%higher than that of the YOLOv7 algorithm.Furthermore,the proposed algorithm exhibits better detection performance for single background scenes.
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