Parkwise is a smart parking management platform designed to make parking operations easier and more efficient.
It can be applied to multiple environments such as universities, office buildings, and private parking facilities.

The system combines computer vision, a backend API, and a management dashboard to detect vehicles, track parking usage, and help administrators manage parking spaces.

Dashboard

Parkwise dashboard

System Architecture

Below is the architecture used for the platform.

System architecture

Camera Detection GUI

The Parkwise camera software is a desktop application built with Python Tkinter.
It runs on a small computer such as a Raspberry Pi connected to an external camera.

The application requires:

• An API key for license plate recognition
• An API key for communication with the backend server

This software detects vehicles, reads license plates, and sends the information to the backend system.

Parkwise camera GUI

System logs

Real-World Vehicle Testing

The system was tested with real vehicles to verify that the license plate recognition works accurately in real-world conditions.

License plate recognition test

Car Test Results

Car test

Car test

Car test

Car test

Parking Management Features

The platform also includes a management system for organization staff and registered users.

Administrators can:

• Register vehicles
• Manage employees or users
• Track parking usage
• Monitor parking availability

There is also a mobile interface for users, allowing them to:

• View their parking history
• Check available parking spaces
• Plan parking more efficiently

Parking lot view

Parking history

Cloud Storage

For technical implementation, license plate images are stored in AWS S3.
This allows administrators to verify parking events and review historical records when needed.

Parking logs stored in AWS S3

🔦 Highlights

• Automatic license plate recognition using OpenCV
• Raspberry Pi camera integration
• Real-time vehicle detection and logging
• Full-stack architecture with Next.js + Nest.js
• Cloud storage using AWS S3
• Parking history tracking and parking availability system

⚙️ Technical

Frontend

• Next.js

Backend

• Nest.js REST API

Computer Vision

• Python
• OpenCV
• Tkinter GUI for camera system

Infrastructure

• AWS S3 for storing license plate images
• API key authentication between camera device and backend