Abstract:
This research focuses on developing an Automated Plate Recognition System for Border Clearance
to enhance the efficiency and security of vehicle verification at border checkpoints. The system
integrates hardware components such as a Raspberry Pi, camera module, servo motor, and IR
sensor to detect approaching vehicles and capture their license plates. Using Optical Character
Recognition (OCR), the system extracts license plate numbers and verifies them against existing
records in a database, significantly reducing human intervention, errors, and corruption. By
automating the verification process, the system improves the speed and accuracy of border control
operations. Additionally, the combination of hardware elements and advanced software
techniques, including OCR, proves effective in optimizing border clearance procedures. The study
concludes with recommendations for future improvements, including incorporating advanced AI
techniques and expanding the system to other border locations to maximize its benefits.
