Abstract
This paper deals with the design and deployment of a National Detecting Stolen Vehicles Network System (NDSVNS) for a country and a police management authority. NDSVNS mainly uses the pattern recognition techniques to setup a Stolen Vehicle Identification System (SVIS), and integrates multiple heterogeneous databases of different city and county police departments. Each database functions as a stand-alone entity, but they are also connected by Police VPN. These heterogeneous databases include stolen vehicle data and license plate recognition records from 26 city and county police departments across this island. To share the valuable information, firstly Criminal Investigation Bureau (CIB) unified the data format of license plate recognition records and exchange formats on Police VPN. Secondly, some appropriate locations are selected in all cities and counties and toll stations of highways to install SVIS. In this paper, system design and deployment for a National Detecting Stolen Vehicles Network System is presented.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Al-Hmouz, R., Challa, S.: Intelligent Stolen Vehicle Detection using Video Sensing. Information, Decision and Control. In: IDC ’07, pp. 302–307 (2007)
Arizona Criminal Justice Commission: Arizona Auto Theft Study. Arizona Criminal Justice Commission (2004)
Chang, W., Su, C.: Benefit Analysis of Stolen Vehicle Detecting System. In: Proceedings of 9th Information Management Research and Police Application Conference, pp. 215–222 (2005)
Cherbonneau, M., Copes, H.: ’Drive It Like You Stole It’: Auto Theft and the Illusion of Normalcy. The British Journal of Criminology 46(2), 193–211 (2006)
Global Design News: Centralized network slows auto theft. Global Design News (2001)
Kursun, O., Reynolds, K., Eaglin, R., Chen, B., Georgiopoulos, M.: Development of an artificial intelligence system for detection and visualization of auto theft recovery patterns. In: Proceedings of the 2005 IEEE International Conference on Digital Object Identifier, pp. 25–29 (2005)
Michigan Automobile Theft Prevention Authority: 2002 ATPA Annual Report. Michigan Automobile Theft Prevention Authority (2002)
Mustafa, M., Behnam, M., El-Tarhuni, M.: A Wireless Embedded System for the Tracking of Stolen Vehicles. In: IEEE/ACS International Conference on Computer Systems and Applications, pp. 818–825 (2006)
National Police Administration: Criminal Cases Statistics. National Police Administration (2009)
Nagaraja, B., Rayappa, R., Mahesh, M., Patil, C., Manjunath, T.: Design & Development of a GSM Based Vehicle Theft Control System. In: 2009 International Conference on Digital Object Identifier, pp. 148–152 (2009)
Wang, J.: Study of a conformal hidden wire antenna used for the detection of stolen cars. In: Electromagnetic Compatibility, Proceedings of the 2008 IEEE International Symposium on Digital Object Identifier, pp. 1–6 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chang, W., Su, C. (2010). Design and Deployment of a National Detecting Stolen Vehicles Network System. In: Chen, H., Chau, M., Li, Sh., Urs, S., Srinivasa, S., Wang, G.A. (eds) Intelligence and Security Informatics. PAISI 2010. Lecture Notes in Computer Science, vol 6122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13601-6_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-13601-6_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13600-9
Online ISBN: 978-3-642-13601-6
eBook Packages: Computer ScienceComputer Science (R0)