Contains a vehicle license plate recognition project. Images are captured using a Pi Camera connected to a Raspberry Pi. Plates are detected from these images using modules such as ALPR, CV2, and NumPy. The plates are stored in a text file. The detected plates are compared with the stored plates. If a match is found between the detected and stored plates, the plate is marked in the image. The interface is developed using the Tkinter module.
Programming Language: Python
IDE: PyCharm, Thonny
Version: Python3
Modules: To install the necessary Python modules for the examples, you should review the Python documentation according to the selected IDE.
Operating System: Raspberry Pi OS
Camera Connection: The Pi Camera connects to the standard Raspberry Pi connector.
Alpr-Module File: Contains examples created with the ALPR module during the development of the license plate recognition project.
CV2-Numpy-Pytesseract-Modules File: Contains examples created with the cv2, numpy, and pytesseract modules during the development of the license plate recognition project.