Automatic Challan System with Vehicle Verification Using OCR
Keywords:
QR-code, Camera, Application program, .Net, Android, Identify every vehicle uniquely, Pay Challan, Sms-gatewayAbstract
The main objective of this project is to design a Quick Response code which contains overall information of the vehicle and to introduce a system which helps R.T.O officer’s to identify the owner of the vehicle and take fine easily from them. Breaking traffic rules on road is a major issue now a day. Due to large population and traffic congestion it is difficult to identify which vehicle has broken traffic rules. To monitor culprit vehicle manually is very difficult. Therefore, there is need to monitor these vehicles automatically. Hence, we propose a smart monitoring system that will monitor the culprit vehicle. The proposed system will generate detailed data at the time of incident and that data will be send to the R.T.O office database which is handling by the authorized person. With the help of these details the officer can take further action. It reduces the time in writing. Just by scanning the QR code the Officer easily get all the information about the vehicle on his screen. The existing system is tedious and time consuming, it requires stopping the vehicle, collecting the owner information, checking his license and collecting Fine, giving the acknowledgment and then allowing the vehicle to pass by. The Challan System for vehicle verification is a new system which is designed to enhance the convenience for officers and vehicle owners. It saves lots of time.
References
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- Kinjal H. Pandya, Hiren J. Galiyawala, "A Survey on QR Codes: in context of Research and Application",International Journal of Emerging Technology and Advanced Engineering, Volume 4,pp 258-262,March 2014,ISSN 2250-2459, ISO 9001:2008 Certified Journal.
- BhupendraMoharil, VijayendraGhadge , Chaitanya Gokhale, Pranav Tambvekar "An Efficient Approach for Automatic Number Plate Recognition System Using Quick Response Codes", BhupendraMoharil et al, / (IJCSIT) International Journal of Computer Science and Information Technology, Vol. 3(5), pp 5108-5115, 2012, ISSN: 0975-9646.
- DipikaSonawane, MadhuriUpadhye, PriyankaBhogade,Prof. SanchikaBajpai, "QR Based Advanced Authentication forall Hardware Platforms",Volume 4, Issue 1,International Journal of Scientific and Research Publications, January 2014 ,pp. 1-4.
- Prof. SanchikaBajpai,"QR Based Advanced Authentication for all Hardware Platforms",Vol1ume 4, Issue 1, International Journalof Scientific and Research Publications, January 2014, pp. 1-4.
- K.H, H.J. Galiyawala, "Survey on QR Codes: in context of Research and Application",Volume 4, Issue 3,International Journal of Emerging Technology and AdvancedEngineering, march 2014, pp. 258-262.
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