Urban management case classification and identification method

Abstract

The invention discloses an urban management case classification and identification method. The method comprises the following steps: obtaining a large number of case image samples, classifying and recognizing case images manually, identifying various object objects and positions involved in urban management case content in the images, and inputting the various object objects, positions and imageswhich are identified manually into a deep learning model to be subjected to learning training. According to the invention, the deep learning model is not directly used to determine urban management case classification. The classification and positions of various objects appearing in the urban management case image are obtained by using the deep learning model. Then, category of specific urban management case is judged according to scene classification judgment algorithm, so that recognition misjudgment rate is reduced. The problem that the deep learning algorithm model is not high in judgmentaccuracy in an actual scene is solved, the misjudgment rate can be reduced, the recognition accuracy can be improved, and the urban management case recognition method better conforms to the actual scene of urban management case recognition.

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

Images