Indoor GPS using Bluetooth LE for occupant localization in smart buildings

This project is closed.

Occupants are responsible for a large part of energy consumption in buildings. Previously we have used Bluetooth LE to detect occupancy in single occupancy offices. In this project we explore the application of Bluetooth BLE to automatically infer the position of occupants in an open plan office.

Project Website
https://nagy.caee.utexas.edu/occupancy-detection-using-bluetooth/
Qualifications

Experience Python required
Experience with Raspberry PI or similar system is required

Project Timeline

Fall semester, potentially in the spring

Duties

Literature review on indoor positioning
Setup Raspberry PIs,
Modify existing occupancy detection algorithm to infer position by triangulating from multiple sources
Apply system in a real occupied office

Typical Time Commitment
10
Desired Length of Commitment
1
Tags
smart buildings
raspberry pi
python
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Project Lead
Who to Contact
Zoltan Nagy
Contact Email
nagy@utexas.edu

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