This repository contains a vehicle license plate recognition project. Images are captured from a Pi Camera connected to a Raspberry Pi. License plates are detected from these images using modules such as ALPR, CV2, and NumPy. There are license plates stored in a text file. Detected plates are compared with these stored plates. Detected plates are then saved. The interface is developed using the Tkinter module.
Alpr-Module File: Contains examples tested with the ALPR module during the development of the license plate recognition project. These are examples developed for license plate recognition using the ALPR module.
CV2-Numpy-Pytesseract-Modules File: Contains examples tested with the cv2, numpy, and pytesseract modules during the development of the license plate recognition project.
Python IDEs: PyCharm, Thonny
Python Version: Python3
Python Modules: To install the necessary Python modules on the Raspberry Pi, you should review the Python documentation according to the selected IDE.
Operating System: Raspberry Pi OS
Camera Connection: Camera Connection: The Pi Camera connects to the standard Raspberry Pi connector.