A Rapid Deployment Indoor Positioning Architecture based on Image Recognition

Abstract

With the rapid development of information, the immediacy, interoperability, and portability of information long been essential elements in present society. Technology has also continued to develop from these elements and creating more and more information equipment. In recent years, as new technologies continue to be developed, they have been mainly divided into two major technologies, namely “deep learning” and “augmented reality. These are including face recognition, image recognition, and augmented reality (AR), virtual reality (VR) and so on which are the key development trends now whether on mobile devices or web pages. In this study, the emerging mainstream “deep learning” and “augmented reality” are used to solve the problem of Google Map that cannot perform indoor navigation. The image recognition technology in deep learning is used to achieve the positioning function and the algorithm is used to calculate the best route to your destination, then indoor navigation presented. Finally, augmented reality (AR) technology is used to set up an exclusive AR floating electronic bulletin board at a specific location to display the relevant information and content of the specific location point for users. This research has the characteristics of rapid deployment which can be launched quickly in an indoor environment.