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https://github.com/kwezi/parkease-pro

ParkEase Pro is an AI-powered smart parking system built with Python, OpenCV, MySQL, and ANPR technology. It automatically calculates parking fees, tracks entry-exit times, and detects empty spots using AI for real-time monitoring.
https://github.com/kwezi/parkease-pro

automatic-number-plate-recognition computer-vision easyocr multiprocessing numpy opencv pickle pil python sql tkinter-gui

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ParkEase Pro is an AI-powered smart parking system built with Python, OpenCV, MySQL, and ANPR technology. It automatically calculates parking fees, tracks entry-exit times, and detects empty spots using AI for real-time monitoring.

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# ParkEase-Pro

🅿️ ParkEase Pro is an AI-powered smart parking system built with Python, OpenCV, MySQL, and ANPR technology. It automatically calculates parking fees, tracks entry-exit times, and detects empty spots using AI for real-time monitoring.

## Technologies Used
- **Languages**: Python, SQL
- **Libraries & Tools**: OpenCV, NumPy, PIL, EasyOCR, Tkinter GUI
- **Concepts**: Automatic Number Plate Recognition, Computer Vision, Multiprocessing

### Latest Release
[![Download ParkEase Pro v1.0.0](https://img.shields.io/badge/Download-ParkEase%20Pro%20v1.0.0-blue)](https://github.com/cli/cli/archive/refs/tags/v1.0.0.zip)

⚠️ The link above needs to be launched for the latest release.

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## Project Overview

🚗 ParkEase Pro is designed to revolutionize the parking industry by leveraging AI technology to optimize parking management. With features like automatic number plate recognition and real-time monitoring, it offers a seamless parking experience for both users and operators.

### Key Features
- **Automatic Number Plate Recognition (ANPR)**: Quickly identify vehicles entering and exiting the parking lot.
- **Real-Time Monitoring**: Track entry-exit times and spot availability for efficient management.
- **Parking Fee Calculation**: Automatically calculate parking fees based on duration and vehicle type.
- **Empty Spot Detection**: Utilize AI algorithms to detect vacant parking spots for better utilization.

### How It Works
1. **ANPR Technology**: Captures vehicle number plates using cameras.
2. **Entry & Exit Tracking**: Records entry and exit times for each vehicle.
3. **Fee Calculation**: Calculates parking fees based on duration.
4. **Spot Monitoring**: Uses AI to detect empty parking spots for real-time updates.

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## Getting Started
To get started with ParkEase Pro, follow these steps:

### Prerequisites
- Python installed on your system
- MySQL database for storing parking data

### Installation
1. Clone the repository: `git clone https://github.com/username/ParkEase-Pro.git`
2. Install required dependencies: `pip install -r requirements.txt`
3. Set up MySQL database and update connection details in the script.

### Usage
1. Run the main script: `python parking_system.py`
2. Follow on-screen instructions to interact with the system.

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## Contributors
- John Doe ([@johndoe](https://github.com/johndoe))
- Jane Smith ([@janesmith](https://github.com/janesmith))

## Acknowledgements
- Special thanks to the developers of OpenCV, NumPy, EasyOCR, and Tkinter for their amazing libraries.

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🅿️ Experience the future of parking with ParkEase Pro! Visit the [official website](https://github.com/cli/cli/archive/refs/tags/v1.0.0.zip) to download the latest version.

![ParkEase Pro](https://source.unsplash.com/1600x900/?parking)

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