AUTOMATED PLATE RECOGNITION SYSTEM FOR BORDER CLEARANCE

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.