In recent years, the social world of virtual reality has become more popular in education, metaverse, entertainment, design, and real-life applications with simultaneous localization and mapping. This is based on an augmented reality (AR) smartphone that supports simultaneous localization and mapping with its two cameras, RGB camera and depth camera, to sense 3D real world. In this study, the average depth data of point clouds on the real 3D objects captured by the depth camera are used to determine whether there are 3D dynamic objects for social world of virtual and real world. When the average depth data change exceeds the threshold of the average depth data, a 3D dynamic object can be detected. This threshold is also adopted to adjust 3D scanning speed and to update Virtual Reality (VR) representation. We conduct detailed experimental analysis as well as verification and completely analyze physical errors for integrating virtual and real worlds.