Landscape sand table system based on deep learning and augmented reality technology

Landscape sand table has been widely used in many fields, and higher requirements have been put forward for landscape sand table system. Therefore, the traditional landscape sand table system cannot meet the needs of current use. In addition, the traditional research has great limitations and cannot meet the requirements of high restoration and precision of the landscape sand table. In this paper, on the basis of deep study and augmented reality, combine the two, the in-depth study in augmented reality, and with landscape as the research object, combined with image processing and network technology knowledge, based on extensive analysis of the data source, this paper proposes a method to build a landscape sand table system with higher efficiency and restoration degree. This method is a deep learning algorithm constructed through parameter optimization and experimental verification, which can accurately identify scene information and realize augmented reality effect. In this paper, the stochastic gradient descent algorithm was used to conduct an experiment to improve the accuracy of the target detection in the landscape sand table. The experimental results also showed that the augmented reality technology could make the landscape sand table with high reproducibility and stereoscopic effect, and the use of the augmented reality effect could make the landscape sand table show better development.