ANIMAL-INTRUSION is a real-time object detection system developed using Computer Vision and the OpenCV library. This project is designed to detect and track animals in various environments, providing timely alerts and analysis.

• Real-time Detection: Identifies animals in live video feeds.
• OpenCV Integration: Utilizes the OpenCV library for advanced image processing.
• Customizable Detection: Allows for the configuration of detection parameters.
• Alert System: Provides notifications or logs when animals are detected.

To run this project locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/CodeAstralIzaX/ANIMAL-INTRUSION.git

2. Navigate to the project directory:

   cd animal-intrusion

3. Install dependencies: Make sure you have Python installed, then install the required Python libraries using pip:

   pip install -r requirements.txt

4. Download Pre-trained Models (if applicable): If your project uses pre-trained models, download and place them in the appropriate directory.

1. Run the Detection Script: Execute the main script to start the real-time detection:

   python main.py

2. Configure Parameters: Edit the configuration file or script parameters to adjust detection settings as needed.

3. View Results: The system will display live video with detected animals highlighted. Alerts or logs will be generated based on the detection settings.

animal-intrusion/
├── src/
│   ├── detect_animals.py       # Main detection script
│   ├── utils.py                # Utility functions
│   └── models/                 # Directory for pre-trained models
├── requirements.txt            # Python dependencies
├── README.md                   # Project README file
└── LICENSE                     # License file

If you would like to contribute to this project, please follow these steps:

1. Fork the repository.
2. Create a new branch:

   git checkout -b feature-branch

3. Make your changes and commit them:

   git commit -m 'Add some feature'

4. Push to the branch:

   git push origin feature-branch

5. Submit a pull request.

This project is licensed under the MIT License. See the LICENSE file for more details.

• OpenCV: For providing powerful tools for computer vision and image processing.

Author: Prem Kumar E
GitHub: CodeAstralIzaX
Feel free to reach out if you have any questions or suggestions!