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IJMLC 2012 Vol.2(1): 83-88 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2012.V2.94

Intelligent Anti-Theft and Tracking System for Automobiles

Montaser N. Ramadan, Mohammad A. Al-Khedher, and Sharaf A. Al-Kheder

Abstract—An efficient automotive security system is implemented for anti-theft using an embedded system occupied with a Global Positioning System (GPS) and a Global System of Mobile (GSM). The client interacts through this system with vehicles and determines their current locations and status using Google Earth. The user can track the position of targeted vehicles on Google Earth. Using GPS locator, the target current location is determined and sent, along with various parameters received by vehicle’s data port, via Short Message Service (SMS) through GSM networks to a GSM modem that is connected to PC or laptop. The GPS coordinates are corrected using a discrete Kalman filter. To secure the vehicle, the user of a group of users can turn off any vehicle of the fleet if any intruders try to run it by blocking the gas feeding line. This system is very safe and efficient to report emergency situations as crash reporting or engine failure.

Index Terms—Vehicle tracker, embedded system, GSM, GPS, Google earth, kalman filter.

Montaser N. Ramadan and Mohammad A. Al-Khedher are with the Mechatronics Engineering Department, Al-balqa Applied University, Amman 11134, Jordan (emails: montaser.ramadan@gmail.com; mohalkhedher@bau.edu.jo).
Sharaf A. Al-kheder is with the Department Of Civil Engineering, Faculty Of Engineering & Applied Sciences, ALHOSN University, Abu Dhabi, UAE (emails: s.alkheder@alhosnu.ae).

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Cite: Montaser N. Ramadan, Mohammad A. Al-Khedher, and Sharaf A. Al-Kheder, "Intelligent Anti-Theft and Tracking System for Automobiles," International Journal of Machine Learning and Computing vol. 2, no. 1, pp. 83-88, 2012.

General Information

  • E-ISSN: 2972-368X
  • Abbreviated Title: Int. J. Mach. Learn.
  • Frequency: Quaterly
  • DOI: 10.18178/IJML
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • Abstracing/Indexing: Inspec (IET), Google Scholar, Crossref, ProQuest, Electronic Journals LibraryCNKI.
  • E-mail: ijml@ejournal.net


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