Because of current hardware limitations of mobile phones, such as image recognition, image recog- nition and real-time needs of high-speed computing, computer side must be addressed. Mobile device over the wireless network and enhance the exchange of data between servers reality. To make up for mo- bile devices with limited data processing capacity, distributed architecture for mobile augmented reality system. Perform different computing tasks at the client and server respectively. Backend cloud scene offline and online learning recognition process server computing. In addition to tracking, user loca- tion, and comments have also been rendered mobile phones. Through mutual exchange and processing of data, we can provide a mixed interactive experience enables mobile phone platforms to customers. First, the real-world image sequences and camera feature points extracted from the captured image. The feature point data and the user’s location is sent to the cloud server over the wireless network. Target information is to quickly identify the server in the cloud, and sent to the mobile phone sample training after completion. Finally, the real object rendering around virtual items to enhance the display. With the help of the posture sensor data, the mobile client allows accurate tracking, which means that the label is always moving virtual and the real object. Figure 1 shows the system framework balls. After the request is sent navigation, POI label is a scene in the first choice, then the path becomes a fool navigation scheme. By drawing a shortest path from the current location to a specified location on a floor plan, route guidance service is to provide users with a fool. To facilitate the users to access the destination location information by using different modes of transport, not only has many navigation modes, such as walking, by bus, to choose from, but also for each navigation mode to draw a path in this 2 The Proposed System Fig. 1: Overview of System Workflow