Relational localization based Augmented reality Interface for IOT applications

Abstract

Augmented Reality today operates around building environments over predefined image, model or object targets. This results in extensive utilization of device and network resources in a system. Millions of connected IOT devices are being deployed every year and with that there is increasing complexities in representing the data generated in human correlate-able form. Augmented Reality visual interface for IOT device data helps in better user experience and enables easy interaction or actuation. Training Augmented Reality interface for each of the IOT device is a tedious task and with dynamically changing networks it is not judicious or reliable. In this paper, we propose a system and a technique to blend Augmented Reality as a generic form of representation for IOT devices using relational localization methods along with metadata information of the sensors. This eliminates the necessity of pre-training the AR devices and also creates the ability to visualize data from any IOT device participating in the network.