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E-Toll System of Auto Deduction of Toll Using Image Processing

Author(s):

Vanpreet Singh Sandhu , Trinity College of Engineering and Research Pune; Heena Gole, Trinity College of Engineering and Research Pune; Shraddha Choudhary, Trinity College of Engineering and Research Pune; Yogita Mali, Trinity College of Engineering and Research Pune; Pro. Alka Kulkarni, Trinity College of Engineering and Research Pune

Keywords:

E-Toll System, Image Processing, RFID Reader placement

Abstract

A toll is a fixed charge or tax for a privilege, especially for passage across a bridge or road or ferries. It is sometimes known as tariff and this project shall focus on tolls charged on private and public vehicles crossing the bridge. Electronic toll collection aims at eliminating the delays caused by toll collection process. Currently there has been a problem during rush hours especially in the mornings, evenings and in public holidays of movement of vehicles passing the through the bridge due to the time consumed on RFID manual collection of toll tax for each vehicle passing the bridge. This has caused unnecessary time wastage due to the slow movement of traffic plus inefficient collection of the toll that makes the government to lose a lot of money annually. The aim of this project is to design a system which automatically identifies approaching vehicles by capturing the vehicles number plate and perform the online toll charges for ongoing vehicles without stopping on toll station. When the vehicle number plate is captured it is automatically processed and the system opens the gate and a predetermined amount is automatically deducted from his or her vehicle pre-paid account. This translate to reduce traffic congestion at toll stations and maximize the toll tax collection and this is an important advantage of this project also to develop a recommendations for vehicle identification and registration systems with the potentials to go beyond the tolling function to include other desirable transportation system management functionalities.

Other Details

Paper ID: IJSRDV7I100303
Published in: Volume : 7, Issue : 10
Publication Date: 01/01/2020
Page(s): 836-838

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