This is a Python-based intruder detection system that captures video frames from an IPWebcam Application connected to the internet using NGROK. It performs object detection (YOLO) on each frame and triggers an email alert if an intruder is detected. The system also logs the captured images and timestamps in a MySQL database for intrusion logging.

• Python 3.x
• OpenCV (cv2)
• Ultralytics
• smtplib
• pytz
• matplotlib
• pymysql

Clone the repository:

git clone https://github.com/KiranKishore07/Namma-A-Eye.git
cd Namma-A-Eye

Install the required dependencies using pip:

pip install -r requirements.txt

#Usage

1. Ensure that the IPWebcam Android App is set up and running with NGROK for internet connectivity.
2. Run the main.py script:

python main.py

This script captures video frames, performs object detection using a trained YOLO model, and triggers email alerts for detected intruders. It also logs the captured images and timestamps in the MySQL database.

3. Customize the email configuration in the mail_trigger function with your sender and recipient email addresses.
4. Modify the database connection parameters in the database_entry function to match your MySQL database settings.

Contributions to this project are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request.

This project is licensed under the MIT License.

The YOLO object detection model used in this project is provided by Ultralytics. Visit their GitHub repository for more information.