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ENG4000 S afety F irst Jatin Behl, Khady Lo Seck,Milandeep Shergill, Manjeet Kaur

ENG4000 S afety F irst Jatin Behl, Khady Lo Seck,Milandeep Shergill, Manjeet Kaur Course Director: Prof. E. Ghafar-Zadeh Adviser: Andrew Eckford, Mentor: Mourad Amara. Motivation. Develop advanced technology solution to address the safety issues raised in our community.

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ENG4000 S afety F irst Jatin Behl, Khady Lo Seck,Milandeep Shergill, Manjeet Kaur

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  1. ENG4000 SafetyFirst Jatin Behl, Khady Lo Seck,Milandeep Shergill, Manjeet Kaur Course Director: Prof. E. Ghafar-Zadeh Adviser: Andrew Eckford, Mentor: Mourad Amara

  2. Motivation • Develop advanced technology solution to address the safety issues raised in our community. • Develop accurate localization technique to cover both indoor and outdoor location details of users

  3. Recap From the last presentation • Background Study • Current commercialized products do not have indoor localization capabilities • Patents do not present cost-efficient or accurate enough solution to indoor localization • Challenges • Triangulation Issues: • Not enough access points to do triangulation. Inaccuracy due to signal strength and multipath Propagation. EMERGENCY Name: Julie Porter Location: Scott Library Special needs: Asthma

  4. Discussion about today’s presentation • Design Building Blocks • Methodology • Challenges

  5. Design Building Blocks • SafetyFirstmobile application acquiring location data from Android Application • Telemetry Data analysis • Kalman filters and Error correction • Communication between Server and Application • Database- to store telemetry data • Matlabto design positioning algorithm

  6. SERVER DEVICE SafetyFirst    Algorithm designusing Matlab Kalman Filter Telemetry Data Telemetry Location Data Acquisition Representation of Design Building Blocks

  7. Initial Implementation Methodology • Transferring data from Android phone to Matlab • Instrument Toolbox to receive the data • Under Investigation • Database and server information sharing • Kalman Filters and error correction

  8. Challenges • Server overloaded with real-time data • Initial android application algorithm not providing accurate data due to clock sync problem

  9. Conclusion and Next Step • Good Result#1: • Able to send data from android in real time • Able to receive the data directly in Matlab • Unsolved Problem #1: • Apply the theoretical algorithm in Matlab to compute the position

  10. Time Management • Step 1 Sept25/2013 Project Selection Form • Step 2 Oct24/2013 Background Review • Step 3 Nov8/2013 Design Review 1 • Step 4 Nov15/2013 Design Review 2 • Step 5 Nov20/2013 Implementation Review • Step 6 Dec to Feb CDR 2, 3, 4, 5, 6, 7 • Step 7 Apr16/2014 Final Demo

  11. Thanks

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