Automated Vehicle Entry Management System using ANPR and OCR Technologies

An Automated Vehicle Entry System is designed to streamline vehicle entry record maintenance on our college campus. This system employs Automated Number Plate Recognition(ANPR) combined with Optical Character Recognition to detect and classify vehicles with their number plates in real time. A pre-trained YOLOv9 model is used to detect vehicles in video frames, while a custom-trained YOLOv9 model specifically detects license plates. OCR techniques extract text from the plates to classify on- and off-campus vehicles. External vehicle data is cross-checked with the mParivahan application, and entry-exit records are logged into an Excel sheet using the openpyxl library. OpenCV-based image preprocessing enhances OCR accuracy, providing an automated, efficient solution with minimal human intervention.