Investigating the Accuracy and Performance Enhancement in Metaverse

People may use computer-generated digital representations known as “avatars” to communicate with one another and interact with digital things in the metaverse. Avatars can also be used to explore the metaverse. Imagine a combination of fully immersive virtual reality, a web-based performance game, and the World Wide Web. The use of cryptocurrency is no longer a choice but rather an integral component of modern life. Because of the decentralized nature of cryptocurrency by design, it is well suited for use as a medium of exchange in this quickly developing hybrid context. Problem with previous research work is real work implication, space consumption and limited scope. In addition to this, the mechanisms for data compression and data security are necessary. Compression is yet another area that is making strides toward improvement on a regular basis and is a hotbed for innovation. Concerns of data compression and security are also investigated in this research, which focuses on the metaverse. In addition, the performance of object identification has been improved by the implementation of an image processing mechanism to cut down on its size prior to the training and testing of the deep learning model. Result and discussion is presenting that error rate and time consumption of proposed work is less and accuracy is more than that of conventional approach.