A classification and identification method of urban management cases

Abstract

The invention discloses a method for classifying and identifying urban management cases, which includes the following steps: obtaining a large number of case image samples, manually classifying and identifying the case images, and identifying various objects and positions involved in the urban management case content in the image, Input various objects, locations and images manually identified into the deep learning model for learning and training. The present invention does not directly use the deep learning model to judge the classification of urban management cases, but uses the deep learning model to obtain the classification and location of various objects appearing in the images of urban management cases, and then judges the category of specific urban management cases according to the scene classification judgment algorithm, reducing the Recognition misjudgment rate. This method overcomes the problem of low judgment accuracy in actual scenarios using deep learning algorithm models. This method can reduce misjudgment rate, improve recognition accuracy, and make it more in line with the actual scene of urban management case identification .

Description

technical field [0001] The invention relates to the technical field of classification and identification of urban management cases, in particular to a method for classification and identification of urban management cases. Background technique [0002] Today, with the rapid development of urbanization, people's expectations of urban management continue to increase, resulting in various problems in urban management. Intelligent urban management emerges with demand, which is not only the need of modern social development, but also the need for The need for innovation in traditional urban management methods. The smart city management system is a tool and means of intelligent city management. With the rapid development of computer technology, artificial intelligence and big data analysis and other technologies, it has begun to take shape. Using advanced technologies such as image algorithms, data mining, and scheduling algorithms can improve Solve urban management problems effi...

AI Technical Summary

Problems solved by technology

[0005] However, there are several problems with this identification scheme: the images in urban management cases are captured by mobile phones or cameras in outdoor places such as roads, communities, and public venues. The background information is complex, the image quality is low, and the acquisition quality is uneven. , the result of using the existing deep learning method for case type recognition is not ideal; another problem is that this recognition method does not understand the classification method of urban management cases: deep learning or neural network models use some kind of recognition algorithm from a large number of samples Learning features in the middle, and establishing the relationship between the features and the categories of urban management cases, and the essence of these recognition algorithms is object recognition, that is, they can only be used to judge objects, not the category definitions in urban management cases. These categories are generally defined as a kind of Scene, that is, the combined conditions for the appearance of multiple objects

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