This paper is published in Volume-4, Issue-5, 2018
Area
Android Application
Author
Sara Shaikh, Sneha Sondkar, Chetana Shete, Neha Pol
Org/Univ
Rajarshi Shahu College of Engineering, Pimpri-Chinchwad, Maharashtra, India
Pub. Date
05 September, 2018
Paper ID
V4I5-1159
Publisher
Keywords
Indoor navigation, Barcode scanner, Wi-Fi router

Citationsacebook

IEEE
Sara Shaikh, Sneha Sondkar, Chetana Shete, Neha Pol. User conventional root detection of indoor mall, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Sara Shaikh, Sneha Sondkar, Chetana Shete, Neha Pol (2018). User conventional root detection of indoor mall. International Journal of Advance Research, Ideas and Innovations in Technology, 4(5) www.IJARIIT.com.

MLA
Sara Shaikh, Sneha Sondkar, Chetana Shete, Neha Pol. "User conventional root detection of indoor mall." International Journal of Advance Research, Ideas and Innovations in Technology 4.5 (2018). www.IJARIIT.com.

Abstract

Indoor navigation systems help people navigate inside large buildings such as shopping malls. In this paper, a smart location-based mobile shopping application for Android devices is proposed. The flow of the application is that user searches a product, and then INOP (Indoor Navigation and Online Payment) identifies the location and searches the product inside the shopping mall. To make the navigation system, this paper proposes a Shortest Path Algorithm. To add a product to the cart, the user should scan the barcode of the product with their android phone. Once the shopping is done by the user, the user can make payment online.