Siseruumides positsioneerimise tarkvara loomine

Abstract

Businesses have started to greatly value data economy, which brings the collected customer data directly to the companies. A good example of this is the pathing of the customer inside supermarkets, which could be used to improve the store. Today we have many solutions for positioning in indoor environments, but usually they are either too expensive or not precise enough for commercial use. However, the ultrasound-based indoor positioning system made by Marvelmind Robotics promises both affordable pricing and high location accuracy. The problem with the solution is the Marvelmind Dashboard application, which is mainly meant for setting up the positioning system, rather than to save and analyse the collected data. The purpose of this thesis is to create software, which would solve the shortcomings of the Marvelmind Dashboard application and would utilize the full potential of the Marvelmind positioning system. As a result of this thesis, using the tkinter and numpy libraries, an application for saving and analysing data captured by the Marvelmind positioning system was created. The application was thoroughly tested at Tartu Ujula Konsum.