The Development of Intelligent VR Systems Based on Deep Learning

By applying deep learning technology to smart Virtual Reality (VR) devices, it can achieve continuous iterative upgrades and provide users with a better immersive design experience. Based on deep learning technology, this research builds an image difference prediction calculation model and creates prediction models for pictures using data from visual interaction screens after analysis and processing. For immersive display design screens, an image prediction computational model is first built. In the experiment, numerous screenshots of the display device are processed, superfluous pixels are removed, and multiple colour display judgements are made using the image difference prediction model. The quality level of the display effect has successfully been raised based on the data from the initial colour sample points. Additionally, the enhanced display screen allows for specular reflection to arise from real-time algorithms rather than just simple mirror mapping; further enhancing the visual effect. This has great significance for the application of VR technology in education, entertainment and other fields.