CPC G06V 10/95 (2022.01) [G06N 3/044 (2023.01); G06T 7/60 (2013.01); G06T 7/73 (2017.01); G06V 10/22 (2022.01); G06V 10/32 (2022.01); G06V 10/40 (2022.01); G06V 10/764 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G06T 2207/20084 (2013.01)] | 10 Claims |
1. A high-precision identification method for substations, comprising:
building a Mask RCNN objection recognition network model based on convolutional neural networks;
inputting acquired image information of an object into the Mask RCNN object recognition network model for preliminary recognition and outputting a recognition result of the object;
using an information entropy to create a semantic decision tree and correcting the recognition result of the object according to the principle of relative correlation between different objects and outputting a final recognition decision result;
reading the recognition decision result to obtain a true type of the object to be recognized.
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