Intelligent Monitoring System for Parking Lots Based on 1394 Camera

Article Preview

Abstract:

Nowadays almost all the park toll management system in use is based on charging by operators, up and down the barrier gate manually or the motorman get through barrier gates by swiping card. This paper try to solve the problem by designed a intelligent park system based on image processing. The system capture video frames through camera, recognizing the vehicle license by pattern recognition, sending command throng CAN bus to control the barrier gate, what is more, the states of control system is shown on LCM.The system has realized automatic control of barrier gates without parking, which, of course, slows down the vehicle wear and tear, greatly improves the efficiency, reaching the goal of green, energy saving and environmental protecting.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 472-475)

Pages:

1013-1016

Citation:

Online since:

February 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Hao zhu,Tao liu,Bo li . Countermeasure Research of Shanghai Parking Information System[J]. Intelligent Transportation,2009.3"In Chinese": 智能交通系统;智能运输系统;智能交通;智慧型运输系统

DOI: 10.36012/etr.v2i2.1089

Google Scholar

[2] Wenqing Wang.Design Handbook of city parking lots[M]. Chinese architecture publishing house,2002"In Chinese"

Google Scholar

[3] Takashi Norimatsu,Hideaki Takagi,H.Richard Gail.Performance analysis of the IEEE1394 serial bus,Performance Evaluation 50(2002)1-26

DOI: 10.1016/s0166-5316(02)00044-5

Google Scholar

[4] IEEE Std 1394-1995,IEEE Standard for a High Performance Serial Bus[S]M.A. Green: High Efficiency Silicon Solar Cells (Trans Tech Publications, Switzerland 1987).

Google Scholar

[5] BaumbergA,HoggD.An effieient method of contour tracking using active shape models [C].In:Proc IEEE Work shop on Motion of Non-Rigid and articulated objects,Anstin,1994,194-199

DOI: 10.1109/mnrao.1994.346236

Google Scholar

[6] SingYiuCheung,SinemColeri,BarisDundar,Traffic Measurement and Vehicle Classification with a Single Magnetic Sensor. California,PATH workingPaper,2004:20~28.

Google Scholar