Smart Parking System using Deep Learning | OpenCV | TensorFlow
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.
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.
Car Parking Detection & Space Counter Using Machine Learning | OpenCV | Python
Use Case: Normal Parking Scenario
- Actor: Vehicle Owner
- Trigger: Vehicle arrives at the parking facility
Flow:
- Vehicle is detected by the system’s real-time video monitoring.
- System captures a frame and uses OCR to extract the number plate.
- The system validates the vehicle’s parking eligibility:
- If the vehicle has a valid parking pass:
- System logs the entry time and location in the database.
- If the vehicle does not have a valid pass:
- System prompts the Parking Attendant to issue a ticket.
- Vehicle Owner can opt to pay for parking at a kiosk or use the mobile app to complete the payment.
- Parking transaction is successfully logged and receipt is generated.
Post-Condition:
- Vehicle is either successfully logged with a valid entry or a parking ticket is issued.
Extension Points:
- Online Pass Application:
- Allows Vehicle Owners to apply for or renew parking passes online, streamlining the parking process.
- Ticket Payment and Management:
- Vehicle Owners can pay for tickets and manage their parking details through the mobile app or kiosk, providing convenience and flexibility.
- Real-Time Parking Status:
- Vehicle Owners can check real-time parking space availability through the mobile app, improving planning and reducing wait times.
Software Requirements :-
- Coding Language : Python
- Implementation: Website Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : HTML, CSS, JavaScript, Django
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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