AutoWitness : Locating and Tracking Stolen Property While Tolerating GPS and Radio Outages - PowerPoint PPT Presentation

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AutoWitness : Locating and Tracking Stolen Property While Tolerating GPS and Radio Outages

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  1. AutoWitness: Locating and Tracking Stolen Property While Tolerating GPS and Radio Outages SantanuGuha, Kurt Plarre, Daniel Lissner, SomnathMitra, Bhagavathy Krishna, PrabalDutta, Santosh Kumar ACM SenSys 2010 - Sowhat2010.11.23

  2. Outlines • Motivation • Objectives & Challenges • Related Works • System Overview • Hardware • Design • Theft detection • Estimating distance & Turns • Evaluation • Conclusion

  3. Outlines • Motivation • Objectives & Challenges • Related Works • System Overview • Hardware • Design • Theft detection • Estimating distance & Turns • Evaluation • Conclusion

  4. Motivation • According to the FBI Uniform Crime Report, 2008 an estimated losses resulted from…

  5. Outlines • Motivation • Objectives & Challenges • Related Works • System Overview • Hardware • Design • Theft detection • Estimating distance & Turns • Evaluation • Conclusion

  6. Objectives & Challenges • Objectives • Detection of theft • Tracking of the stolen tag • Pinpointing of the location • Challenges - Cost & Energy • Hardware selection • Theft classifier • Tracking method

  7. Outlines • Motivation • Objectives & Challenges • Related Works • System Overview • Hardware • Design • Theft detection • Estimating distance & Turns • Evaluation • Conclusion

  8. Related Works • Traditional home security systems • Deter or detect burglary only • Unable to track or recover • Traditional asset tracking and vehicle recovery systems • detected • Not tolerate in-transit cloaking • High power • LoJack, the most common stolen vehicle recovery systems • A device to receive the activation signal needed • High-power transmissions once actived • Cost, $695

  9. Outlines • Motivation • Objectives & Challenges • Related Works • System Overview • Hardware • Design • Theft detection • Estimating distance & Turns • Evaluation • Conclusion

  10. System Overview

  11. System Overview Motion detection (vibration dosimeter) Classification (Accelerometer) Sufficient time & RF power available

  12. System Overview

  13. Outlines • Motivation • Objectives & Challenges • Related Works • System Overview • Hardware • Design • Theft detection • Estimating distance & Turns • Evaluation • Conclusion

  14. Hardware • Vibration dosimeter – Motion detect • 3-axis accelerometer – Theft classification & Distance estimation • 3-asix gyroscope – Turns estimation • GSM/GPRS modem – Transfer • Epic Core platform

  15. Outlines • Motivation • Objectives & Challenges • Related Works • System Overview • Hardware • Design • Theft detection • Estimating distance & Turns • Evaluation • Conclusion

  16. Design – Theft DetectionFlow Diagram Deep sleep Accelerometer sampling 1.05sec, @200Hz Compute variance of medians of every 15 samples Variance > threshold N Y Accelerometer sampling 4.2 sec, @200Hz Partition 5.25 sec worth of data in 5 intervals Decision tree classifier applied Majorityrule  vehicular movement N Y Tracking

  17. Design – Theft DetectionClassifier • Collecting data in different scenarios • Walking person • car • trolleys • Rolling chair • Activity classification work Using mobile phones to determine transportation modes[23] • Feature – energy & standard deviation

  18. Design - Estimating distance & TurnsAngle estimate • Gyro  rotation speed  single integration  change in the attitude • Absolute value of 1st difference • Thresholds, Dh & Dl • Activation time

  19. Design - Estimating distance & TurnsDistance estimate • 2nd order Butterworth Filter to remove noise • Median of 20 samples  mean of 10 such medians • Accelerometer  Double integration  Distance • Curved roads – angular rotation info. From gyro

  20. Outlines • Motivation • Objectives & Challenges • Related Works • System Overview • Hardware • Design • Theft detection • Estimating distance & Turns • Evaluation • Conclusion

  21. Evaluation – Theft Detection • 15000 samples (210 acc. readings/sample) • vehicle vs. person

  22. Evaluation – Turn Estimation • 120 turns for 6 values of angles • Ground truth – GPS on Android G1 phone

  23. Evaluation – Distance Estimation • 300 different road segments (0.2 ~ 1.5miles) • Ground truth – GPS on Android G1 phone

  24. Outlines • Motivation • Objectives & Challenges • Related Works • System Overview • Hardware • Design • Theft detection • Estimating distance & Turns • Evaluation • Conclusion

  25. Conclusion • Design & evaluation of the AutoWitness system • Deter, detect, and track personal property theft • Low-cost • Ultra-low energy

  26. Thanks for Listening ~