Investigating Role of Deep Learning in Metaverse

Abstract

Avatars are computer-generated digital representations that people may use in the metaverse to communicate and interact with one another as well as with digital goods. Imagine a setting that combines elements of virtual reality, an online performance game, and the World Wide Web. In the modern world, one does not have the option of avoiding the usage of bitcoin. In this rapidly evolving hybrid setting, Bitcoin is the proper medium of exchange because of the inherent decentralisation it has. In addition to this, it is essential to integrate data compression and safety precautions. Compression is an area of study that is constantly undergoing new developments as well as technological leaps and bounds. This study looks on other aspects of the metaverse as well, such as data compression and security concerns related to the metaverse. Before training and testing the DL model, an image processing approach was included in order to reduce its size. This was done so that object identification may be improved even more.