• DocumentCode
    3099944
  • Title

    Cloud based multiple vehicle tracking and locking system

  • Author

    Nalina, V. ; Sandesh, A.S. ; Sequiera, Royal Denzil ; Jayarekha, P.

  • Author_Institution
    Dept. of ISE, BMS Coll. of Eng., Bangalore, India
  • fYear
    2015
  • fDate
    12-13 June 2015
  • Firstpage
    106
  • Lastpage
    110
  • Abstract
    Vehicle crime has long been a menace to the world with a gamut of felonies which go as far as terrorism. Fortunately, with the advent of Global Positioning System (GPS) technology the tracking of a vehicle has been made remarkably simpler. However, the task of tracking of multiple vehicles and scaling such a system to track an enormous number of vehicles is a rigorous task. The need for similar inexpensive system is quite demanding. In this paper, a cloud based multi-vehicle tracking and locking system is presented that lets the owner of the vehicle to track any vehicle in real time. In the event of a malicious activity such as burglary, the owner can lock the system. The paper also professes a cost-effective system that lets the owner learn the instances of accidents or possible drink driving cases.
  • Keywords
    cloud computing; object tracking; security; traffic engineering computing; burglary; cloud based multiple vehicle tracking system; cloud based multivehicle locking system; malicious activity; GSM; Global Positioning System; Ground penetrating radar; Meteorology; Monitoring; Software; Vehicles; Cloud; Locking; Multiple-vehicle; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advance Computing Conference (IACC), 2015 IEEE International
  • Conference_Location
    Banglore
  • Print_ISBN
    978-1-4799-8046-8
  • Type

    conf

  • DOI
    10.1109/IADCC.2015.7154680
  • Filename
    7154680