artificial neural network-based space interior curating system and method therefor

摘要

The present invention relates to a space interior curating system based on an artificial neural network and a method therefor. The space interior curating system includes a management server provided to access the space interior curating system to analyze the indoor space and provide recommended interior information, The management server may include: a 3D spatial information generator configured to generate indoor spatial information by analyzing the collected image data or spatial structure data, and to generate 3D spatial information implemented by 3D modeling of an interior object using the indoor spatial information; a user information obtaining unit which obtains detailed interior space information, user preference information, desired interior item information, and desired interior cost information from a user; Recommendation for a plurality of interior items so that the interior space detailed information, user preference information, desired interior item information, and desired interior cost information are input to the first deep learning model to enable construction within the desired interior cost range for the interior space an interior concept recommendation information generating unit generating information as interior concept recommendation information; When interior construction is completed according to the interior concept recommendation information by using the interior concept recommendation information and 3D space information, predicted image data that implements an expected result image as a 3D image is generated, and the generated predicted image data is provided to the user. and an interior prediction image providing unit to provide, wherein the first deep learning model receives construction details, construction company information, construction cost information, and construction satisfaction information for a plurality of constructed interiors as input to each input layer of the artificial neural network, It may be characterized as a model implemented based on an artificial neural network trained to extract interior concept recommendation information within a specific cost range.