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WLAN and Bluetooth Indoor Positioning System
WLAN and Bluetooth Indoor Positioning System
WLAN and Bluetooth Indoor Positioning System
WLAN and Bluetooth Indoor Positioning System
WLAN and Bluetooth Indoor Positioning System
WLAN and Bluetooth Indoor Positioning System
WLAN and Bluetooth Indoor Positioning System
WLAN and Bluetooth Indoor Positioning System
WLAN and Bluetooth Indoor Positioning System
WLAN and Bluetooth Indoor Positioning System
WLAN and Bluetooth Indoor Positioning System
WLAN and Bluetooth Indoor Positioning System
WLAN and Bluetooth Indoor Positioning System
WLAN and Bluetooth Indoor Positioning System
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WLAN and Bluetooth Indoor Positioning System

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Presentation on WLAN and Bluetooth Indoor Positioning System by Ville

Presentation on WLAN and Bluetooth Indoor Positioning System by Ville

Published in: Technology, Business
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  • 1. Wlan and Bluetooth based indoor positioning system Aalto University
  • 2. Development process • Product development project – fall 2012 – Real life projects sponsored by companies – Project InPoint, sponsored by Ericsson – Indoor positioning prototype on school campus
  • 3. Project InPoint • 9 members • Study of indoor positioning in general • WLAN was chosen as technology – Widespread distribution • Android smart phone was chosen as platform – Developer accessibility on sensors • First prototype was ready spring 2013
  • 4. Summer 2013 • Craving for improvement of the system • Bluetooth added as technology • More advanced algorithms and methods • Enhancing the usability • Making the system more scalable – Documentation and instructions
  • 5. System goal and components • Goal: pinpoint Android device location
  • 6. Fingerprinting 1 . Calibration of signal environment - Measure RSS beforehand - Store measurements to database 2. Positioning - Measuring RSS - Comparing result with database
  • 7. Positioning Engine 1/3 • Position with highest probability chosen – Probability distribution for every position • Comparing relations of router RSS
  • 8. Positioning Engine 2/3 • Normal difference distribution: • Transition system – Takes history positionings into account – Error-estimate
  • 9. Positioning Engine 3/3 • Anchor system – Use beacons as anchors – Uniquely high signal strength near beacon – Better accuracy and error-estimate
  • 10. System implementation 1/2 • External server – Connection to Android phone – Apache, PHP and mySQL – Actual PHP-code files – phpMyAdmin
  • 11. System implementation 2/2 • Client side – Computer – Android device – Android developing tools with Eclipse – Java – Drawing the maps
  • 12. How to use 1/2 1. Calibration of the whole area - CalibrationTool - Orientations - Settings - Point interval 2m
  • 13. How to use 2/2 2. Positioning application – Shows location on map – Move and zoom – Debugging settings
  • 14. Where to begin • Read documentation • Platform source code package • Demonstration next • Questions?

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