The IUP Journal of Computer Sciences
Toll Collection System Using Image Processing

Article Details
Pub. Date : Oct, 2021
Product Name : The IUP Journal of Computer Sciences
Product Type : Article
Product Code : IJCS31021
Author Name : Bhaskar Rao J1, Hrithik P S S2, Sushma I3, Karthikeya M S S G4, Meghana T5 and Anurag K6
Availability : YES
Subject/Domain : Management
Download Format : PDF Format
No. of Pages : 11



In India, from manual collection to electronic collection, drastic changes have been done at toll gates. The risks due to cash are high compared to digital money. The introduction of a digital payment system laid the foundation for the present toll collection system. In FASTAG, Radio Frequency Identification (RFID) technology is used for toll collection at national highways. RFID tag plays a key role in the automated deduction of toll charges. FASTAG main objectives are traffic control and timesaving. But there are a few disadvantages, as FASTAG uses an RFID tag, which can be cloned, so there is a chance for misusing it, and it is also somewhat inconvenient to the user as they have to renew the tag every three years, for which they have to pay. In case of loss of FASTAG, the user has to wait for a whole day for a new tag and they have to pay for it. The paper implements toll collection using image processing technology, which does not require RFID scanning devices and RFID tags. The account details of the user are stored in the database using the user's vehicle number plate as a key. When a vehicle is passed through the toll gate, license plate details are retrieved using image processing. The transaction can be done by retrieving account details from database using the vehicle's number plate details. Using the Open Computer Vision (OCV) and Optical Character Recognition (OCR), the system can extract characters from the captured vehicle image.


The paper introduces a new method for deducting toll fares at toll plazas which is more efficient than the existing models. Automation is a technology where human interference can be reduced. Identifying vehicles automatically has been preferred because of its applications: toll payments, ticket issuing, theft control, traffic surveillance, etc. Highways or toll roads are provided to control the traffic and increase the mobility of vehicles. So manual collection of toll fare results in time delay, inessential fuel consumption and traffic congestion (Rajamunipriya and Dinesh, 2015). At present, Radio Frequency Identification (RFID) technology is implemented in the field of toll payments. The RFID tag present in the FASTAG uses an Electronic Produce Code (EPC) so that every vehicle can be uniquely identified (Zhen et al., 2005). The EPC code is a 13-digit number that ensures that every code is unique. The RFID tag embedded in the FASTAG is a passive tag that is energized only when the beam of the scanner hits it. So, when a vehicle comes near to the scanning device, the scanner sends RF signals and reads the information present in the tag. As the FASTAG is prepaid with money, so it automatically deducts the corresponding toll fare. Because of the drawbacks of FASTAG, which are previously stated, this paper provides a solution to reduce those problems by deducting the toll fares automatically using image processing. In this system, we reduce waiting time at toll plazas and make the entire process automated. The payment is proceeded by retrieving account details from the database using the vehicle's number plate details which are unique; then a notification is sent to the user's app; the amount is deducted if the user acknowledges the notification, else the corresponding footage is sent to the police database. Because of this method, vehicle thefts and criminal activities can also be reduced.


Electronic payment, Image processing, Open Computer Vision (OCV), Optical Character Recognition (OCR), Radio Frequency Identification (RFID), Toll collection