ENG4000 S afety F irst Jatin Behl, Khady Lo Seck,Milandeep Shergill, Manjeet Kaur Course Director: Prof. E. Ghafar-Zadeh Adviser: Andrew Eckford, Mentor:

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Presentation transcript:

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. Develop accurate localization technique to cover both indoor and outdoor location details of users

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

Discussion about today’s presentation Design Building Blocks Methodology Challenges

Design Building Blocks SafetyFirst mobile 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 Matlab to design positioning algorithm

Location Data Acquisition SafetyFirst Telemetry SERVER Telemetry Data Kalman Filter Algorithm design using Matlab DEVICE Representation of Design Building Blocks

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

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

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

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

Thanks