CFP last date
20 May 2024
Reseach Article

Virtual Police – To identify who Bend Rules on the Road

by Herath H. M. P. M. B, Fernando A. D. N. M, Ailapperuma D. C. R, Ranaraja V. W. R. M. W. B, Fernando S. G. S
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 169 - Number 6
Year of Publication: 2017
Authors: Herath H. M. P. M. B, Fernando A. D. N. M, Ailapperuma D. C. R, Ranaraja V. W. R. M. W. B, Fernando S. G. S
10.5120/ijca2017914760

Herath H. M. P. M. B, Fernando A. D. N. M, Ailapperuma D. C. R, Ranaraja V. W. R. M. W. B, Fernando S. G. S . Virtual Police – To identify who Bend Rules on the Road. International Journal of Computer Applications. 169, 6 ( Jul 2017), 5-9. DOI=10.5120/ijca2017914760

@article{ 10.5120/ijca2017914760,
author = { Herath H. M. P. M. B, Fernando A. D. N. M, Ailapperuma D. C. R, Ranaraja V. W. R. M. W. B, Fernando S. G. S },
title = { Virtual Police – To identify who Bend Rules on the Road },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2017 },
volume = { 169 },
number = { 6 },
month = { Jul },
year = { 2017 },
issn = { 0975-8887 },
pages = { 5-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume169/number6/27987-2017914760/ },
doi = { 10.5120/ijca2017914760 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:16:38.437320+05:30
%A Herath H. M. P. M. B
%A Fernando A. D. N. M
%A Ailapperuma D. C. R
%A Ranaraja V. W. R. M. W. B
%A Fernando S. G. S
%T Virtual Police – To identify who Bend Rules on the Road
%J International Journal of Computer Applications
%@ 0975-8887
%V 169
%N 6
%P 5-9
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Road accidents and traffic violations are common issue for all the countries. Most of the accidents are caused because of unsafe driving. There are rules and regulations provided by law in order to avoid road accidents and to drive carefully. There are many Information Communication Technology (ICT) applications to detect vehicles that violate the rules. These are not efficient because it does not have evidences or proofs to take a proper action. People nowadays are not tend to drive safe. There are violations such as over speeding, red-light violation and overtaking another vehicle on single and double line violations. In this system a framework to identify who breaks the rules will be detected and take actions according to the rule that has broken. To identify them, image processing technologies, tools and hardware tools such as ultrasonic sensors, raspberry-pi pc and cameras will be used. A key benefit of this system is that it can reduce the number of road violations that can happen and people will be afraid to violate rules because of the automated system. The systems currently available does not support all the features, this system will be covering red light violations, over-speeding and vehicle overtaking violations as well as this system will be using techniques such as background subtraction, object tracing and ultrasonic sensors. “VirtualPolice” system attempts to result reliable and more efficient comparing to systems that are available. This system is designed to collect evidences of the violations and take actions accordingly. When a violation is updated the system is programmed to notify nearest policemen android devices.

References
  1. “Implementing Lane Departure Warning System on Raspberry Pi”, University Tunku Abdul Rahman, May 2016, [Online] Available: www.eprints.utar.edu.my/ 1950/1/CN-2016-1308318-1.pdf [Accessed 20-JULY-2016]
  2. “A Real-Time Vision System for Night time Vehicle Detection and Traffic Surveillance”, IEEE transactions on industrial electronics, Volume-58, No-5, May 2011, [Online] Available: https://ir.nctu.edu.tw/bitstream/ 11536/8964/1/000289478000054.pdf [Accessed: 18-July2016]
  3. “Morphological Image Processing Approach of Vehicle Detection for Real-Time Traffic Analysis”, Science International Journal of Computer Science and Engineering, Volume-2, Issue-5, May 2014. [Online] Available: http://www.ijcseonline.org/pub_paper/IJCSE-00312.pdf [Accessed: 14-JULY-2016]
  4. “Development of an automated Red Light Violation Detection System (RLVDS) for Indian vehicles”, IEEE National Conference on Computing and Communication Systems, COCOSYS-09, CS11 [Online] Available: https://arxiv.org/ftp/arxiv/papers/1003/1003.6052.pdf [Accessed: 14-JULY-2016]
  5. “Vehicle Detection under Day and Night Illumination”, Proc. of ISCS-IIA99, May 2016, [Online] Available: http://imagelab.ing.unimore.it/pubblicazioni/pubblicazioni/iia1999.pdf [Accessed 21JULY-2016]
  6. “A real-time computer vision system for vehicle tracking and traffic surveillance”, Transportation Research Part C 6, CA 94720-1776, USA, Dec 1998, [Online] Available: http://people.eecs.berkeley.edu/~malik/papers/coiffmanBMM.pdf [Accessed: 21-July2016]
  7. “Automated Driving Vehicle Using Image Processing”, International Journal of Computer Science and Engineering, Volume-2, Issue-4, April 2014,[Online] Available: http://www.ijcseonline.org/pub_paper/IJCSE-00220.pdf [Accessed: 19-JULY-2016]
  8. Handaric R. et al. “An Image Recognition Software Tool for Car Identification Based on License Plate”, Transylvania University of Braşov Series I: Engineering Sciences, Volume-5 (54) No. 1, 2012, [Online] Available: http://rs.unitbv.ro/BU2012/Series%20I/BULETIN%20I%20PDF/Handaric_R.pdf [Accessed 19-JULY-2016]
  9. “Object Detection in Image Processing Using Edge Detection Techniques”, and IOSR Journal of Engineering, ISSN (e): 2250-3021, ISSN (p): 2278-8719 Vol. 04, Issue 03, March 2014 [Accessed: 21-JULY-2016]
  10. “Hybrid Parking Detection”, United States Patent Application Publication, Patent No. - US20150117705A1, April 2015 [Accessed: 19JULY-2016]
Index Terms

Computer Science
Information Sciences

Keywords

OpenCV python background subtraction object tracing red light violations over-speeding vehicle overtaking violations image processing raspberry-pi pc raspberry-pi camera android and ultrasonic sensors.