Development and Practice of Image Recognition System of Geological Core in Railway Engineering Exploration Based on Convolutional Neural Network
In railway engineering geological exploration,drilling is the most commonly used and effective exploration method,and its results are the basis for engineering geological evaluation,design,and construction.By constructing a convolutional neural network model,we can achieve the recognition of core types from the original images of cores at the exploration site.Therefore,a mobile App image recognition system is developed to capture images of the cores,which then calls a server-side self-learning recognition model to identify the type of core,and feeds back the results to the data collection personnel at the ex-ploration site.This system is tested in multiple rail transit project explorations,and the accuracy rate is over 90％.The work effectively promotes the digitization and standardization of rail transit exploration services,and can significantly improve the production efficiency of exploration project.
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维普
