Smart Parking System using Python and OpenCV
The Parking Ticket Management System is a comprehensive software solution designed to revolutionize the way parking operations are managed. It aims to streamline the entire process of issuing and tracking parking tickets, providing a user-friendly interface for parking attendants and ensuring efficient record-keeping.
At its core, the system leverages cutting-edge technologies such as computer vision, optical character recognition (OCR), and database integration. The real-time video feed monitoring capabilities, powered by OpenCV, enable seamless detection of incoming vehicles, while the integration of PaddleOCR facilitates accurate number plate recognition and extraction.
The system’s user interface, developed using the tkinter library, offers a intuitive experience for parking attendants. They can initiate tickets, manually issue tickets, and manage existing tickets with ease. The ticketing process is further enhanced by the system’s ability to generate detailed PDF receipts, ensuring proper documentation of parking transactions. By incorporating a SQLite database, the Parking Ticket Management System ensures secure storage and retrieval of ticket details, enabling efficient data management and analysis. The system’s user authentication mechanisms safeguard sensitive information, ensuring data privacy and access control.
Overall, the Parking Ticket Management System aims to revolutionize parking operations by providing a comprehensive, user-friendly, and technologically advanced solution. Its seamless integration of various technologies and its robust feature set position it as a powerful tool for parking facilities, enhancing efficiency, accuracy, and customer satisfaction.
Vehicle Parking Management Project in Python
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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