Now a days there is a huge rush at the toll plazas in order to pay the toll tax. On any toll plaza the vehicle has to stop for paying the toll amount. Hence we are trying to develop a system that would pay the toll amount automatically and reduce the rush at the toll plaza. In our system user registration is done with information like name, address, mobile number, vehicle plate number, vehicle type, etc. Camera is used to capture number plate of vehicle. System will check the database, if match is found then toll amount will be deducted from the user’s account and then gate will be open. Notification will be sent to the user via message. Our system is able to count the total number of vehicles that are passing through the toll plazas. By doing automation of toll plaza we can have the solution over money loss at toll plaza by reducing the man power required for collection of money and also can reduce the traffic at toll plazas which indirectly resulting in the reduction of time at toll plaza.
Swati A . Sagar : Bachelor of Engineering (Computer Engineering),
Master of Engineering (Computer Engineering),
Bharati Vidyapeeth’s College of Engineering for Women, Pune-43.
Jayshri Shrikant Jori : Bachelor of Engineering (Computer Engineering),
Master of Engineering (Computer Engineering),
Bharati Vidyapeeth’s College of Engineering for Women, Pune-43.
Kalyani Ashok Khodade : Bachelor of Engineering (Computer Engineering),
Master of Engineering (Computer Engineering),
Bharati Vidyapeeth’s College of Engineering for Women, Pune-43.
Payal Rajendra Mali : Bachelor of Engineering (Computer Engineering),
Master of Engineering (Computer Engineering),
Bharati Vidyapeeth’s College of Engineering for Women, Pune-43.
Number plate recognition, Optical Character Recognition, SMS, Vehicle counting, Image Processing
Automated toll collection system is user friendly. It can reduce traffic congestion at toll plazas which leads to avoid fuel loss. It can be removed all disadvantages of current manual toll collection system like time and human efforts. It does not required any tag only required best quality camera.
1. Automatic toll collection using RFID functioning. 1.Pranoti Salunke, 2. Poonam Malle, 3. Kirti Datir, 4. Jayshree Dukale. IOSR Journal of Computer Engineering (IOSR-JCE), e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 9, Issue 2 (Jan. - Feb. 2013), PP 61-66.
2. Receiver Autonomous Integrity Monitoring of GNSS Signals for Electronic Toll Collection. 1. Daniel Salós, 2. Anaïs Martineau, 3. Christophe Macabiau, 4. Bernard Bonhoure, 5. Damien Kubrak, 2014. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOL. 15, NO. 1, FEBRUARY 2014.
3. Electronic toll collection system using barcode laser technology. 1. Sanchit Agarwal, 2. Shachi Gupta, 3. Nidheesh Sharma.International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 3, Issue 2, March – April 2014.
4. Automated Toll Collection Using Satellite Navigation. 1.Ms.Kirti A.Lonkar, 2. Ms. Pratibha P. Kulkarni, 3. Ms Monalisha Dash, 4. Mr.Abhishek Dhawan, 5. Mr.Hemant R.Kumbhar, 6. Mr.Monika P.Gagtap.
5. Smart highway electronic toll collection system. 1. Ganesh K. Andurkar, 2. Vidya R. Ramteke.
6. Image Processing based Toll Automation using ANPR. 1 Kavya.S, 2 Mutturaj Hubballi, 3 Priyanka.B.N (IASIR).
7. Automatic License Plate Recognition (ALPR) : A State-of-the-Art Review. 1. Shan Du, Member, IEEE, 2. Mahmoud Ibrahim, 3. Mohamed Shehata, Senior Member, IEEE, 4. WaelBadawy, Senior Member, IEEE. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 23, NO. 2, FEBRUARY 2013.
8. Automatic Detection and Counting of
Vehicles Based on Image Processing R.
Rajamunipriya1, S.Dinesh2. International
Journal of Science and Research (IJSR).