In today‟s life, when the cities are rising, usage areas of mobile phones have increased in the last ten years. Although there have been significant improvements in many areas, most of the developments are in the field of positioning systems. Although the people‟s lives continue in indoor circumstances, location-based information system receives details from the satellites, which can detect a person's location in the outdoor region alone. However, for indoor areas, no efficient and perfect technology has been developed for navigation or positioning. In this paper we have come up with an exceptional solution that is indoor navigation mobile application which works with augmented reality, in our proposed solution, we will be using the mobile camera as the scanner for getting the path and extracting the features from various objects in the pathway. We use ARCore SDK, which is the heart of this project, which has an inbuilt property called area learning, which helps the system to extract and learn about the features present in a particular outline using Machine Learning.
Keywords: Mobile application, augmented reality, ARCore SDK, indoor positioning, and navigation.
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