Biometric Based Anti-Theft Warning System for Enhanced Security of Automobile
IJRTI1804012
Volume 3, Issue 4
Page 63 - 69
April 2018
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ISSN2456-3315
Impact Factor10.57
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Paper Title
Biometric Based Anti-Theft Warning System for Enhanced Security of Automobile
Authors
B YESU BABU , G LOKESH BABU , B VENKATA GOVINDA RAJULU , S SAI VENKATESH
Keywords
Abstract
In recent days vehicle tracking system has got significance due to raising number of theft vehicles. Vehicle may not be always parked in secured place so this is a opportunity for the theft of the vehicle. So the theft can be identified immediately when an attempt is made. The access to the vehicle can be restricted only for the authenticated User after verifying their identity i.e. Bio – metric and face recognition. The system has been implemented using Raspberry pi-3 model-B Computer it is also integrated with GPS, GSM, Fingerprint and camera modules, combination of all these equipments provide live tracking and accurate, updated information about the location of status of vehicle. This implemented system provides enhanced security for vehicle and low cost anti-theft protection.
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IJRTI — journal style
"Biometric Based Anti-Theft Warning System for Enhanced Security of Automobile", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.3, Issue 4, page no.63 - 69, April-2018, Available :https://ijrti.org/papers/IJRTI1804012.pdf
APA — 7th edition
BABU, B. Y., BABU, G. L., RAJULU, B. V. G., & VENKATESH, S. S. (2018). Biometric Based Anti-Theft Warning System for Enhanced Security of Automobile. International Journal for Research Trends and Innovation, 3(4), 63 - 69. https://ijrti.org/viewpaperforall.php?paper=IJRTI1804012
MLA — 9th edition
BABU, B YESU, et al. "Biometric Based Anti-Theft Warning System for Enhanced Security of Automobile." International Journal for Research Trends and Innovation, vol. 3, no. 4, 2018, pp. 63 - 69, https://ijrti.org/viewpaperforall.php?paper=IJRTI1804012.
Chicago — 17th, bibliography
BABU, B YESU, et al. "Biometric Based Anti-Theft Warning System for Enhanced Security of Automobile." International Journal for Research Trends and Innovation 3, no. 4 (2018): 63 - 69. https://ijrti.org/viewpaperforall.php?paper=IJRTI1804012.
Harvard — author–date
BABU, B.Y. et al. (2018) 'Biometric Based Anti-Theft Warning System for Enhanced Security of Automobile', International Journal for Research Trends and Innovation, 3(4), pp. 63 - 69. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI1804012
IEEE — numbered reference
B. Y. BABU, G. L. BABU, B. V. G. RAJULU and S. S. VENKATESH, "Biometric Based Anti-Theft Warning System for Enhanced Security of Automobile," IJRTI, vol. 3, no. 4, pp. 63 - 69, Apr. 2018.
Vancouver — biomedical
BABU BY, BABU GL, RAJULU BVG, VENKATESH SS. Biometric Based Anti-Theft Warning System for Enhanced Security of Automobile. IJRTI. 2018 Apr;3(4):63 - 69.
AMA — 11th edition
BABU BY, BABU GL, RAJULU BVG, VENKATESH SS. Biometric Based Anti-Theft Warning System for Enhanced Security of Automobile. IJRTI. 2018;3(4):63 - 69. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI1804012
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI1804012,
author = {B YESU BABU and G LOKESH BABU and B VENKATA GOVINDA RAJULU and S SAI VENKATESH},
title = {Biometric Based Anti-Theft Warning System for Enhanced Security of Automobile},
journal = {International Journal for Research Trends and Innovation},
volume = {3},
number = {4},
pages = {63 - 69},
year = {2018},
month = {April},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI1804012}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - BABU, B YESU
AU - BABU, G LOKESH
AU - RAJULU, B VENKATA GOVINDA
AU - VENKATESH, S SAI
TI - Biometric Based Anti-Theft Warning System for Enhanced Security of Automobile
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 3
IS - 4
PY - 2018
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI1804012
SP - 63
EP - 69
ER -
International Journal for Research Trends and InnovationPublished by IJRTI (JW Publication)
2456-3315ISSN
10.57Impact Factor
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OpenAccess
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.