Car Parking Slot Detection Using Machine Learning
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.
Car Parking Management System must provide a secure login and authentication mechanism for Parking Attendants and system administrators. Vehicle owners should have the option to register and manage their profiles via a mobile application to manage their vehicles, view ticket history, and renew parking permissions. Vehicle owners must be able to pay for parking via an automated kiosk or through a mobile application. The system must generate a digital receipt upon successful payment which can be printed or sent to the vehicle owner’s email. The system must support multiple payment methods, including credit/debit cards, mobile payments, and cash.
Parking Space Detection Using Machine Learning
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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