Keyless Car Entry Authentication System Based on
A Novel Face-Recognition Structure

I.Amulya; Mr. K. Sreenivasa Rao

doi:https://doi.org/10.14445/22315381/IJETT-V5N5P143

Research Article | Open Access | Download PDF

Volume 5 | Number 2 | Year 2013 | Article Id. IJETT-V5N5P143 | DOI : https://doi.org/10.14445/22315381/IJETT-V5N5P143

Keyless Car Entry Authentication System Based on A Novel Face-Recognition Structure

I.Amulya , Mr. K. Sreenivasa Rao

Citation :

I.Amulya , Mr. K. Sreenivasa Rao, "Keyless Car Entry Authentication System Based on A Novel Face-Recognition Structure," International Journal of Engineering Trends and Technology (IJETT), vol. 5, no. 2, pp. 230-234, 2013. Crossref, https://doi.org/10.14445/22315381/IJETT-V5N5P143

Abstract

In this paper, a smart car security system is proposed, which consists of a face detection subsystem, a GPS (Global Positioning System) module, a GSM (Global System for Mobile Communications) module and a FPGA. The face detection subsystem bases on optimized PCA algorithm and can detect faces in cars and make interaction with the car owner through GSM. The GPS sends the location of the car. Even when the car is lost we can get thief face image as well as location of the car so this is most reliable car security system. The car owner may allow new persons also to drive the car using the password. So this car security system is more secure and comfortable.

Keywords

GSM (Global System for Mobile Communications)

References

[1] Joseph A. O`Sullivan, Robert Pleas, “Advances in SecurityTechnologies: Imaging, Anomaly Detection, and Target and Biometric Recognition”, Microwave Symposium IEEE/MTT-S International Volume, Page(s):761 – 764, 2007.
[2] Viola P, Jones M, “Rapid Object Detection using a Boosted Cascade of Simple Features” Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p511, 2001
[3]Jian Xiao, Haidong Feng. “A Low-cost Extendable Framework for Embedded Smart Car Security System “Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, Okayama, Japan, March 26-29, 2009
[4]Lihe, LvFlang “Design of Intelligent Mobile Vehicle Checking System Based on ARM7”
[5] Lien hart R, Kuranov A, Pisarevsky, “Empirical analysis of Detection cascades of boosted classifiers for rapid object Detection” Technical report, MRL, Intel Labs, 2002.
[6] Viola P, Jones M, “Fast and robust classification using Asymmetric AdaBoost and a detector cascade” NIPS 14, 2002.
[7] Inigo R.M., Application of machine vision to traffic Monitoring and control, IEEE Transactions on Vehicular Technology, 1989, 38(3):112-122.