This repository contains an AI License Plate Recognition (LPR) system developed using state-of-the-art machine learning techniques. The system is designed to accurately detect and recognize license plates in images and videos. It utilizes deep learning algorithms to provide fast and efficient license plate recognition capabilities.
## Features
- License plate detection: The system can detect license plates in images and videos, even in complex and challenging environments.
- License plate recognition: Once a license plate is detected, the system uses optical character recognition (OCR) techniques to extract the alphanumeric characters from the plate.
- High accuracy: The AI model used in the system has been trained on a large dataset of license plate images, resulting in a high level of accuracy in recognizing license plates.
- Real-time processing: The system is optimized for real-time processing, making it suitable for applications that require fast license plate recognition.
- Multi-platform support: The system can be deployed on various platforms, including desktop computers, servers, and embedded systems.
5. Download the pre-trained model weights from the following link and place them in the `models` directory:
[Pre-trained Model Weights](https://example.com/pretrained-model-weights.pth)
6. Run the system:
```shell
python main.py
```
## Usage
The AI LPR system provides a command-line interface (CLI) for running license plate recognition on both images and videos.
### License Plate Recognition on Images
To run license plate recognition on a single image, use the following command:
```shell
python main.py --image /path/to/image.jpg
```
### License Plate Recognition on Videos
To run license plate recognition on a video file, use the following command:
```shell
python main.py --video /path/to/video.mp4
```
## Contributing
We welcome contributions from the community to improve the AI License Plate Recognition system. If you find any issues or have suggestions for enhancements, please submit them in the [issue tracker](https://gitlab.com/your-username/ai-lpr-system/issues). Pull requests are also encouraged.
When contributing, please follow the [code of conduct](CODE_OF_CONDUCT.md) and ensure that your changes align with the project's coding standards.
## License
This AI License Plate Recognition system is licensed under the [MIT License](LICENSE). Feel free to use, modify, and distribute the code for both commercial and non-commercial purposes.
## Acknowledgements
We would like to acknowledge the following resources and projects that have inspired and contributed to the development of this AI License Plate Recognition system:
-[OpenALPR](https://github.com/openalpr/openalpr): An open-source Automatic License Plate Recognition library.
-[YOLOv5](https://github.com/ultralytics/yolov5): A state-of-the-art object detection model used for license plate detection in this system.
-[Tesseract](https://github.com/tesseract-ocr/tesseract): An OCR engine used for license plate character recognition.
## Contact
If you have any questions, feedback, or inquiries, please contact us at `example@example.com`. We appreciate your interest and support in the AI License Plate Recognition system.
