Automatic Number Plate Recognition Using YOLO

Abstract

In the current scenario, toll collection often causes delays at checkpoints, as manual payment processes are both timeconsuming and fuel-intensive. To address these challenges, this project proposes an automated toll collection system using an Android application integrated with Firebase. The system aims to reduce waiting time, minimize fuel consumption, and eliminate the need for manual intervention, thereby enabling faster and more efficient vehicle movement through toll gates. In the proposed approach, drivers are required to install a mobile application that is connected to digital payment gateways such as Paytm and other ewallet services. The application maintains essential user details, including driver information, license number, and vehicle registration number, creating a unique identity for each user. Drivers can make toll payments in advance through the app, and the transaction details are stored in the centralized Firebase database in real time. When a vehicle approaches the toll gate, a camera system captures and recognizes the number plate, verifying it against the database. If the payment has already been completed, the gate opens automatically, allowing seamless passage. During the return journey, the system again verifies the vehicle details and checks the type of payment—such as one-time or return pass—and grants access accordingly. This automated system enhances efficiency, reduces congestion, and provides a smart solution for modern toll management.