Bluetooth

This work is about indoor localization using Angle-of-Arrival in Blueetooth receivers.

This work is about applying machine learning to indoor location and tracking.

In this dissertation, the recently released version of the Bluetooth Low Energy protocol is explored, which introduces the ability to calculate the direction of signals, i.e, the Angle-of-Arrival.

The objective of this work is to determine the method which allows for near-real-time tracking of the forklift, based on the Angle-of-Arrival of the Bluetooth beacons

The SLID project focuses on the development of a product that can be used in cargo vehicles and indirectly track the location and movement of all products in stock.

The WHERE.IS project aims to develop an asset localization and management solution with focus on the ease of deployment and maintenance. The solution is a good fit for situations where there is a large number number of slow moving assets, a rough position estimation is enough, zone-level or room-level accuracy, true real-time is not needed, and information with 5 minute delay is acceptable.