CARBON PLATE OPTIMIZED DETECTION ALGORITHM OF PANTOGRAPH BASED ON IMPROVED MASK R-CNN

In this paper, an optimized and improved algorithm based on Mask R-CNN is proposed to solve the shortcomings of traditional pantograph carbon slide detection, such as low detection efficiency and poor detection accuracy. The algorithm adopted the ministry of railways pantograph damage assessment of the new regulations and field of the sample datasets. By improving feature extraction algorithm of network structure and optimizing the loss value, the efficiency of the algorithm of image processing was improved, which realized the pantograph slide carbon defects mask label accurately and reduced the loss of the pantograph slide effects on electric locomotive running. Experimental results show that this algorithm can improve the detection accuracy and efficiency of pantograph carbon slide.