IoT Based Automated Toll Gate Collection System Using RFID and Image Processing

Abstract

Nowadays, the larger part of the roadway toll gate is physically worked in most of the countries, where an administrator collects the money from the driver and reverts with a receipt. Since, this method is excessively lagging thus we regularly experience the roads turning to parking lots at the toll gates. To overwhelm these complicated scenarios this paper introduces The Automated Toll Gate Collection System to make the toll collection process more efficient and smoother.

The Automated Toll Gate Collection System uses Radio Frequency Identification (RFID) technology which is the systemized technique used to gather the toll naturally from the moving vehicle when they pass the toll gates. In this framework, every vehicle will hold an RFID tag and it contains a unique identification number which will be consigned with the R.T.O authorities. In this automated toll gate collection system, we face a few issues. So, as to conquer these initial problems the proposed system is additionally created with an image processing technique. Thereby this system provides a faster toll collection through RFID and Image Processing. So, when the vehicle crosses the toll gate its tax sum is deducted and furthermore gets an SMS through the GSM technology about the details of the payment, where the amount will be deducted from their prepaid balance. As the vehicle doesn't need to wait in a line, it guarantees efficiency, fuel conservation and furthermore contributing in setting aside of cash. In this paper, the case making and working stream out of the framework with both the technologies were described and the information about how the trading between the drivers and toll gate authorities takes place fluently.