AUTOMATIC NUMBER PLATE RECOGNITION SYSTEM

Automatic Number Plate Recognition (ANPR) systems are widely used for vehicle identification and access control in areas such as parking systems, toll gates, and secure zones. Traditional ANPR systems rely on image processing techniques, which can be affected by environmental conditions such as poor lighting, blurred images, and complex backgrounds. To overcome these limitations, this project presents a simplified and efficient approach using RFID technology. In this project, an Automatic Number Plate Recognition system is implemented using an Arduino Uno, RC522 RFID reader, RFID cards, and a buzzer. Each vehicle is assigned a unique RFID tag that acts as a digital number plate. When a vehicle approaches the system, the RFID reader scans the tag and sends the data to the Arduino Uno. The controller then compares the received tag information with pre-stored data to verify whether the vehicle is authorized or not. If the RFID tag is recognized, access is granted and a short buzzer sound is generated. If the tag is not recognized, access is denied and a long buzzer alert is triggered. This method ensures fast, accurate, and reliable vehicle identification without the need for complex image processing algorithms. The proposed system is cost-effective, easy to implement, and suitable for applications such as college campuses, parking areas, and gated communities. Although it requires RFID tags for each vehicle and has a limited reading range, it provides a practical alternative to conventional ANPR systems for controlled environments.