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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/528

Title: Wi-Fi based indoor positioning and Customer Navigation system
Authors: Dissanayake, D.M.D.K
Weerakoon, W.M.P.P
Gunawardena, T.R
Rathnayaka, R.M.C.N
Kasthururathna, Dharshana
Keywords: Wi-Fi
GPS
Navigation
Tri-Lateration
Neural Networks
Machine learning
Issue Date: 2017
Publisher: SLIIT
Series/Report no.: ;17-063
Abstract: Employees are the backbone of any company, management of employee performance plays a major role in deciding the success of the organization. But the employee handling is not easy because managers get busy with day-to-day responsibilities. Considering the situations like that we thought need to create fully automated employee handling, Wi-Fi based indoor positioning and navigation system. Main goal of our research is to implement open source real time intra-building tracking system using Wi-Fi, and using triangulation formulas based on signal strength of access points throughout a building, can track a devices. The main application of this project is to provide a safety system, which tracking users within a building and allowing to send an emergency message through a device to them, and navigate users from their current location to expected destination within the building. This application can send messages from a central location. These messages will include position information and which emergency has been selected. Hope to implement the system in a way that can be easily understandable and usable to the end users. Also cost-beneficial and to maintain the reliability and effectiveness of the application Thus, the market value of the outcome will also increase.
URI: http://hdl.handle.net/123456789/528
Appears in Collections:SLIIT Student Research -2017

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