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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 447))

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Abstract

In this research paper, a new automatic system is introduced to detect vehicle and recover the same at toll plaza. This aims to propose and implement a new security system based on RFID, ANPR, GSM, OTP, and car lift up technology. The system helps the police department to detect theft vehicle and to recover that vehicle and also to improve the vehicle theft recovery rate in India. According to the articles published in newspapers, vehicle theft detection and recovery are the cases which are least solving in India. After a vehicle is theft, there are so many situations where police department and toll plazas are not able to detect and recover the same. Currently, the ETC system helps to detect theft vehicle at toll gates, but there are some limitations with this system also. To solve these limitations, a new system is proposed in this research paper. This new automatic vehicle theft detection and recovery system (AVTDRS) based on ICT which will be worked at toll plazas. This paper also approaches currently working technologies like GSM, GPS, OTP, RFID, smart phone applications, QR codes, and fingerprint identification system. These all technologies are currently using for detection and recovery of vehicles in India. The prime motive of written paper is to observe boundaries of present working system and to develop an updated automatic system to solve these problems.

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References

  1. Times of India, https://timesofindia.indiatimes.com/city/chandigarh/only-13-stolen-vehicles-recovered-in-2017/articleshow/62575258.cms. last accessed 2021/10/21

  2. Jakhar A, Over 5 vehicles were reported stolen every hour in Delhi during 2018: Police. https://www.news18.com/news/auto/over-5-vehicles-were-reported-stolen-every-hour-in-delhi-during-2018-police-1997933.html. Last accessed 2021/10/21

  3. Bhandari H, Police data show motor vehicle theft the least solved crime. https://www.thehindu.com/news/cities/Delhi/police-data-show-motor-vehicle-theft-the-least-solved-crime/article25954331.ece. Last accessed 2021/10/21

  4. http://mvt.delhipolice.gov.in/. Last accessed 2021/10/21

  5. Times of India, Tracing stolen vehicle just a click away. https://timesofindia.indiatimes.com/city/hyderabad/Tracing-stolen-vehicle-just-a-click-away/articleshow/39319578.cms. Last accessed 2021/10/21

  6. Gadgetsnow, ‘Vahan Samanvaya’ app with data on stolen vehicles across the country launched. https://www.gadgetsnow.com/apps/Vahan-Samanvaya-app-with-data-on-stolen-vehicles-across-the-country-launched/articleshow/51394172.cms. Last accessed 2021/10/21

  7. Parimi J, How will electronic toll collection work in India. https://www.quora.com/How-will-electronic-toll-collection-work-in-India. Last accessed 2021/10/21

  8. Mahesh B, Prabu SF, Kumar M, Balamurugan P (2016) Theft vehicle identification system in toll gate by using RFID,GSM and visual basic front end. International J Scientific Engineering Appl Science (IJSEAS) 2:2395–3470

    Google Scholar 

  9. Murugan K, Gobu R, Zabiyullah GS, Gunasekaran R, Santhosh V (2018) An automation of vehicle theft detection in the toll plaza by using the RF technology. IJEEE 1(3):10–17

    Google Scholar 

  10. Vinitha V, Velantina V (2019) Advanced automatic toll collection and vehicle detection system using internet of things. SSRG-IJEEE 6(8):5–10

    Article  Google Scholar 

  11. Mekki AE, Bouhoute A, Berrada I (2019) Improving driver identification for the next-generation of in-vehicle software systems. IEEE Transactions on Vehicular Tech 68(8)

    Google Scholar 

  12. Mallikalava V, Vengatesan K, Kumar A, Punjabi S, Sadara SSA (2020) Theft vehicle detection using image processing integrated digital signature based ECU. 978-1-7281-5821-1/20, IEEE (2020)

    Google Scholar 

  13. Akhtar Z, Ali R (2020) Automatic number plate recognition using random forest classifier. Springer. Department of Computer Engineering, Aligarh Muslim University, Aligarh, India. SN Computer Science 1:120

    Google Scholar 

  14. Prathiba S, Viji A, Mary A (2017) Online payment of tolls and tracking of theft vehicles using number plate image. Global J Pure Applied Mathematics 13(7):3005–3012. ISSN 0973–1768

    Google Scholar 

  15. Raj U, Nidhi N, Nath V (2019) Automated toll plaza using barcode-laser scanning technology. Springer, Department of Electronics and Communication Engineering, Birla Institute of Technology Mesra, Ranchi 835215, India. © Springer Nature Singapore Pte Ltd. Nath V, Mandal JK (eds) (2019) Nanoelectronics, Circuits and Communication Systems, Lecture Notes in Electrical Engineering 511, https://doi.org/10.1007/978-981-13-0776-8_44

  16. Mohanasundaram S, Krishnan V, Madhubala V (2019) Vehicle theft tracking, detecting and locking system using open CV. International Conference on Advanced Computing & Communication Systems (ICACCS), 978–1–5386–9533–3/19/$31.00 ©2019 IEEE, pp 1075–1078

    Google Scholar 

  17. Rahul JK, Gawade SS (2014) Design and development of lift for an automatic car parking system. Int J Theoretical Appl Res Mech Eng (IJTARME) 2(2):2319–3182

    Google Scholar 

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Correspondence to Kamlesh Kumawat .

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Kumawat, K., Rathore, V.S. (2023). ICT-Enabled Vehicle Theft Detection and Recovery System. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Seventh International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 447. Springer, Singapore. https://doi.org/10.1007/978-981-19-1607-6_79

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  • DOI: https://doi.org/10.1007/978-981-19-1607-6_79

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-1606-9

  • Online ISBN: 978-981-19-1607-6

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