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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. \nThe 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. \nThe interface is developed using the Tkinter module.\n\nProgramming Language: Python\n\nIDE: PyCharm, Thonny\n\nVersion: Python3\n\nModules: To install the necessary Python modules for the examples, you should review the Python documentation according to the selected IDE.\n\nOperating System: Raspberry Pi OS\n\nCamera Connection: The Pi Camera connects to the standard Raspberry Pi connector.\n\nAlpr-Module File: Contains examples created with the ALPR module during the development of the license plate recognition project.\n\nCV2-Numpy-Pytesseract-Modules File: Contains examples created with the cv2, numpy, and pytesseract modules during the development of the license plate recognition project.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feeyribas%2Fplate-recognition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Feeyribas%2Fplate-recognition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feeyribas%2Fplate-recognition/lists"}