System for quickly recognizing functional regions in apartment rendering

Abstract

The invention discloses a system for quickly recognizing functional regions in an apartment rendering, comprising image processing system module 100, image recognition and detection system module 200 and apartment rendering cloud service system module 300, wherein the image recognition and detection system module is connected with the image processing system module, and the apartment rendering cloud service system module is connected with the image recognition and detection system module. The system disclosed herein can recognize functional region image information in the apartment rendering reliably and quickly, the needs of people for searching for functional formation of the apartment rendering are met, people's work and living quality are improved, and the system is easy to widely apply and is of important production and practical significance.

Description

technical field [0001] The invention relates to the technical fields of image processing, image recognition, house type map recognition, database cloud computing, etc., and in particular relates to a fast recognition system for house type map functional areas. Background technique [0002] At present, with the continuous development of human science and technology, deep learning (Deep Learning) is becoming an emerging field in the field of machine learning. In recent years, the application of deep learning has become more and more widespread, and it has involved speech recognition, image recognition, natural language processing and other fields. Deep learning will continue to impact machine learning and other key areas of artificial intelligence. [0003] Nowadays, in the two fields of artificial intelligence and big data cloud computing, the emergence of deep learning has brought about changes in many fields. Many problems that could not be solved in the past, such as unma...

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Problems solved by technology

[0004] As pictures become the main carrier of the Internet, problems arise. When information is recorded in words, at present, people can easily find what they need by searching for keywords and edit it arbitrarily. When information is recorded in pictures When recording, for example, when the floor plan is used to represent housing information, the existing technology is difficult to retrieve the functional information in the floor plan, that is, it is difficult to find out the functional information of the bedroom, living room, bathroom, kitchen and other functional areas in the floor plan. Function information is searched, which affects the efficiency of users to find key content from picture information. Although images such as floor plans bring fast information recording and sharing methods, they reduce the efficiency of people's information retrieval and cannot Satisfy people's needs for searching the information of each functional area in the floor plan

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