A Novel Approach for Live Image Capture and Estimation of Coordinates for Augmented Projection Using Machine Learning

Abstract

In recent times, augmented reality (AR) has emerged as one of the most promising technologies that can provide a high degree of adaptation and independence to facilitate the transfer of knowledge in the majority of different sectors. AR is being used in the process of projecting objects into an augmented environment to demonstrate to customers how those objects will seem in the setting of their choice. Even though there have been and will continue to be significant advances made, the visuals are still being projected in a three-dimensional environment. In order to circumvent this process and project a live image that has been caught in reality, an innovative strategy that makes use of modified machine learning algorithms is currently under consideration. Additionally, a brand-new method known as the "universal clipboard" is suggested, which makes it much simpler to copy and paste photographs between different devices.