ITM Web Conf.
Volume 32, 2020International Conference on Automation, Computing and Communication 2020 (ICACC-2020)
|Number of page(s)||6|
|Published online||29 July 2020|
Augmented Reality based Navigation and Recognition System
Department of Computer Engineering, Rajiv Gandhi Institute of Technology, Versova, Andheri(W), Mumbai, India
The current navigation system requires the user to continuously map with the navigation application with the real-world environment. It sometimes leads to an incorrect path due to minor difference in the distance between different paths. The identification of nearby places of unknown locality is difficult as one has to ask for information and reviews which can be misleading. Recognition of unknown people for their authenticity cannot be guaranteed as one has to rely on official documents which can be fake. This paper aims to describe the design of an application that will provide the same reality-based environment as that seen through the naked eye, but it adds visual simulation or content to provide an enhanced view to the user during navigation. We will be using Augmented reality to provide users with more information, computer-assisted decision making, and interactive learning and training. The application will combine Google’s existing Maps data with a live feed from your phone’s camera to overlay walking directions on top of the real world and help you figure out which way you need to go. Identification of near-by places and authenticity of the unknown people can be done from the data stored on the cloud and will be augmented when scanned through the camera of the phone which is the only requirement of the application. It also enables the users to navigate indoors with the help of a radar map and arrow pointing towards the points of interest. This application enables the user to navigate using the mobile phone and get the directions augmented in the real world to take accurate decisions. The user can also navigate to different points of interest- indoor as well as outdoor. It also enables the recognition of places, as well as people and the details related to the same, get augmented.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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