This system processes video streams or image inputs to detect cars and their license plates using Optical Character Recognition (OCR). The results are saved in a CSV file for record-keeping.

1. Multiple Input Types: Can process individual images, a series of images from a directory, RTSP video streams, or standard video files.
2. CSV Records: Detected license plates along with additional information (e.g., timestamp, confidence level) are stored in a CSV file.
3. Configurable OCR: Users have the flexibility to choose from multiple OCR methods.
4. Real-time Streaming: The processed video can be streamed in real-time to a web browser.
5. Dynamic Confidence Adjustment: Users can adjust the confidence levels for both detection and OCR tasks on-the-go.

1. Clone the repository: ``` git clone https://github.com/your_username/LicensePlateRecognition.git ```

2. Change directory: ``` cd LicensePlateRecognition ```

3. Install the required dependencies (ensure you have Python installed): ``` pip install -r requirements.txt ```

1. Run the Flask app: ``` python main.py ```

2. Open a web browser and navigate to: ``` http://localhost:5000 ```

3. Follow the on-screen instructions to upload a video or image and start the license plate recognition process.

Feel free to fork the repository and submit pull requests. For major changes, please open an issue first to discuss what you would like to change.

This project is licensed under the MIT License.