Indoor Navigation for Personalised Shopping

Description

Smart personalised shopping is enabled by a number of cyber-physicaltechnologies including

  • electronic shelf labels (ESLs),
  • beacons,
  • sensors,
  • connected point-of-sales (POS) and so forth.

In this project, the already known product location and quantity information associated with the ESLs shall be complemented by Bluetooth signalisation in order to achieve indoor navigation. This requires answers to three challenging research questions:

  1. How can the precision be increased in order to target individual shelves, potentially making use of advanced BluetoothLow Energy (BLE) device generations?
  2. How can an economic bundling of hardware be achieved in order to target smaller shops?
  3. How would the user be guided, for instance via mobile app, to ensure customers would make use of the deployed infrastructure?

Novel methods such as beacon and WiFi signal fusion along with beacon stack voting will be field-tested in this project.

Key data

Projectlead

Dr. Josef Spillner

Project team

Panagiotis Gkikopoulos

Project partners

Nexgen AG

Project status

completed, 08/2022 - 12/2023

Institute/Centre

Institute of Computer Science (InIT)

Funding partner

Innosuisse Innovationsscheck

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