Automatic Challan System with Vehicle Verification Using OCR

Abstract

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.