Vehicle Theft Detection

References

[1] Title: Intelligent Car Anti-Theft System Through Face Recognition Using Raspberry Pi and Global Positioning System. Authors : by Kosalendra Eethamakula, Leema G, and Muni Vara Prasad K was published in the International Journal of Analytical and Experimental Modal Analysis in 2020.volume 12(6):1017-1021

[2] Titled “IoT based Smart Environment Using Node-Red and MQTT” authored by B. Kavya Deepthi, Venkata Ratnam Kolluru, George TomVarghese, Rajendraprasad Narne, Dr. N. Srimannarayan was published in the Journal of Adv Research in Dynamical & Control Systems, Volume 12, No. 5, 20

[3] Title: "Vehicle Theft Detection and Tracking System Using GPS and GSM Technologies" Authors: Mohan Kumar S., Prakash S, Journal: International Journal of Engineering and Innovative Technology (IJEIT),Volume: 4,Issue: 3,Year: 2014,Pages: 154-159,DOI: Not available

[4] Title: "Vehicle Theft Detection Using Machine Learning Techniques: A Review" Authors: Prakash C., Sharma S., Kumar A., Soni S, Journal: Wireless Personal Communications, Volume: 110, Issue: 2, Year: 2020, Pages: 811-832, DOI: 10.1007/s11277-019-06876-3

[5] Title: "A Comprehensive Study of Vehicle Theft Detection Systems: Trends, Challenges, and Future Directions" , Authors: Mishra S., Kumar S., Kaur H, Journal: IEEE Transactions on Intelligent Transportation Systems, Volume: 21, Issue: 4, Year: 2020, Pages: 1767-1786, DOI: 10.1109/TITS.2019.2913303

[6] Vehicle Theft Detection, Tracking and Recovery System, Author: S. K. Khedkar, Publication Year: 2019, Publisher: CRC Press, ISBN: 9780367256170

[7] Vehicle and Traffic Surveillance Systems: Vehicle Theft Detection and Recovery, Authors: S. Sitharama Iyengar, Pramod 41 K. Varshney, Vasundhara V. Varshney, Publication Year: 2019, Publisher: Springer, ISBN: 9783030196790

[8] Vehicle Theft Detection and Recovery: GPS-GSM-Based Approach, Author: M. S. Bhatti, Publication Year: 2017, Publisher: CRC Press, ISBN: 9781498780815.

[9] Vehicle Theft Detection and Tracking System, Patent Number: US 9,638,470 B2, Issued: May 2, 2017

[10] Intelligent Vehicle Immobilization System, Patent Number: EP 2,586,194 B1, Issued: August 9, 2017 [3]. Vehicle Theft Prevention Using Machine Learning Techniques, Patent Number: CN 108,726,392 A, Issued: June 22, 2018

[11] National Insurance Crime Bureau (NICB) - Vehicle Theft Prevention: Website: https://www.nicb.org/prevent-fraud-theft/prevent-vehicle-theft/

[12] LoJack Corporation - Vehicle Theft Recovery and Tracking: Website: https://www.lojack.com/

[13] International Association of Auto Theft Investigators (IAATI): Website: https://www.iaati.org/

@article{1705108,
      author = {Keerthana R, Aparna R, Dr. Jaya Brindha G},
      title = {Vehicle Theft Detection},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {7},
      number = {4},
      pages = {61-65},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1705108.pdf},
      abstract = {In recent days, cars play a significant role in the lives of humans. The use of vehicles significantly helps people live lighter lives. Simultaneously, the rate of vehicle theft is increasing by the day. The significance of the car theft discovery follows. The foundation of the current security system is an anti-theft alarm. The alarm activates and sounds automatically if someone touches the car's body. Making duplicate car keys at the moment are not delicate, and utilizing keys that are identical ups the risk of theft. We have a solution for a comparable issue. The proposed goal of our project is to create a security system that may be installed inside a car in order to detect theft. The suggested system is a face recognition-based security system using a Raspberry Pi-loaded face recognition module. The Raspberry Pi module is programmed and trained in such a way that the system recognizes the owner and the frequent users of the vehicle. Only those who have been given permission to use the vehicles as users can be identified by our system's face recognition technology. If any unauthorized person tries to access the vehicle an alert message along with a picture of the person is sent to the owner's mobile. This system is also programmed with an additional feature that the owners can also lock the car when any unauthorized person tries to enter the vehicle.},
      keywords = {IoT, Raspberry Pi, Face recognition, Alarm},
      month = {October},
  }