Virtual Traffic Police


  • R. Rakshitha M.Tech. Student, Department of Computer Science and Engineering, RNS Institute of Technology, Bengaluru, India
  • M. J. Sudhamani Assistant Professor, Department of Computer Science and Engineering, RNS Institute of Technology, Bengaluru, India



CNN algorithm, Haar cascade, Number plate recognition, OCR method, Twilio, Yolo algorithm


In the new advancing world, traffic rule infringement has become a focal issue for larger part of the creating nations. The quantities of vehicles are expanding quickly just as the quantities of traffic rule infringement are expanding exponentially. Overseeing traffic rule infringement has consistently been a lethal and trading off undertaking. Despite the fact that the procedure of traffic the executives has gotten robotized, it's an extremely testing issue, because of the decent variety of plate designs, various scales, revolutions and non-uniform brightening conditions during picture obtaining. The vital target of this undertaking is to control the traffic rule infringement precisely and cost adequately. The undertaking presents Automatic Number Plate Recognition (ANPR) strategies and other picture control methods for plate confinement and character acknowledgment which makes it quicker and simpler to recognize the number plates. In the wake of perceiving the vehicle number from number plate the SMS based module is utilized to advise the vehicle proprietors about their traffic rule infringement. An extra SMS is sent to Regional Transport Office (RTO) for following the report status and furthermore to the proprietor of vehicles to advise about the standard infringement.


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How to Cite

R. Rakshitha and M. J. Sudhamani, “Virtual Traffic Police”, IJRESM, vol. 3, no. 9, pp. 94–99, Sep. 2020, doi: 10.47607/ijresm.2020.296.

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