Parking Management System using Machine Learning Part-1

Smart Parking System using Python and OpenCV

1. Vehicle is detected by the system’s real-time video monitoring.
2. System captures a frame and uses OCR to extract the number plate.
3. 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.

1. Vehicle Owner can opt to pay for parking at a kiosk or use the mobile app to complete the payment.
2. 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.

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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