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https://github.com/saeidsaadatigero/car_plate_recognition
Recognition System
https://github.com/saeidsaadatigero/car_plate_recognition
ai machine-learning opencv python yolo
Last synced: about 2 hours ago
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Recognition System
- Host: GitHub
- URL: https://github.com/saeidsaadatigero/car_plate_recognition
- Owner: saeidsaadatigero
- Created: 2024-10-19T13:54:14.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-10-30T12:35:57.000Z (2 months ago)
- Last Synced: 2024-11-12T20:46:44.501Z (2 months ago)
- Topics: ai, machine-learning, opencv, python, yolo
- Language: Python
- Homepage:
- Size: 40 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Car License Plate Recognition System
This project is a car license plate recognition system using advanced computer vision and deep learning technologies. The goal of the system is to detect and extract vehicle license plate numbers from images captured by CCTV cameras.
## Technologies Used:
- **Django**: Web framework for server-side development.
- **OpenCV**: Image processing library to handle images.
- **YOLO (You Only Look Once)**: Deep learning model for license plate detection.
- **Tesseract OCR**: Text recognition tool for reading license plate numbers.
- **SQLite**: Lightweight database to store data.
- **HTML/CSS**: For creating and styling web pages.
## Installation and Setup
To run this project, follow these steps:
1. Clone the project repository:
```bash
git clone https://github.com/saeidsaadatigero/car_plate_recognition.git
cd car_plate_recognition
```
2. Create and activate a Python virtual environment:
```bash
python3 -m venv .venv
source .venv/bin/activate
```
3. Install the project dependencies:
```bash
pip install -r requirements.txt
```
4. Run the Django server:
```bash
python manage.py runserver
```
5. Access the web application at:
```
http://127.0.0.1:8000
```
## Using the System
1. Navigate to the homepage and enter the IP address of the CCTV camera.
2. Click the "Start Plate Recognition" button to initiate the plate detection and recognition process.
3. The recognized license plate numbers will be displayed, and the plate images will be saved.
# YOLO Download and Setup Instructions
1. **Download YOLO**:
- Visit the [official YOLO website](https://pjreddie.com/darknet/yolo/).
- Download the `yolov3.weights` and `yolov3.cfg` files.
### Run the following commands in the terminal:
```bash
git clone https://github.com/pjreddie/darknet
cd darknet
make
wget https://pjreddie.com/media/files/yolov3.weights