File-Locking-Mechanism

File-Locking-Mechanism-Using-Face-Recognition

Easily secure your files and folders on Windows using Face Recognition technology. This project allows you to lock and unlock any folder with your unique face, providing an intuitive and secure way to protect your data.

Features:

Train the system to recognize your face. Lock and unlock any folder using face recognition. Seamlessly integrates with Windows for quick file security.

Steps to Lock a Folder on Your Windows System

1. Change directory:

   cd File-Locking-Mechanism

2. Train the System to Recognize Your Face:

Open the terminal and navigate to the repository folder. Run the following command to train the system with your face data:

   python "Face Recognition.py" -train

3. Update the Locker.bat File:

• Open the Locker.bat file using any text editor (e.g., Notepad).
• Locate the PASS variable.
• Replace the existing value with the name you used while training your face in the previous step.

4. Create a Locker Folder:

Run the Locker.bat file by double-clicking it. This will create a folder named Locker in the current directory.

5. Store Your Files:

Move any files or folders you want to secure into the Locker folder.

6. Lock and Unlock Your Files:

• To lock the folder: Run the Locker.bat file again, and the folder will be locked.
• To unlock the folder: Run the Locker.bat file, and the system will use face recognition to verify your identity. Upon successful recognition, the folder will unlock.

How It Works:

• Face Recognition:
  The system uses the Local Binary Pattern Histogram (LBPH) algorithm for face recognition. After training, it matches the captured face with the stored images during the locking/unlocking process.

• Security:
  Only the user whose face was trained can unlock the folder, ensuring a personalized layer of protection.

Troubleshooting:

• Training Issues:
  If the training process fails, ensure your webcam is working properly and capture at least 100 images with varying expressions.

• Unlocking Issues:
  Make sure you provide good lighting conditions while using face recognition for unlocking the folder. If recognition fails repeatedly, retrain the model for better accuracy.

Future Improvements:

• Additional Algorithms:
  Incorporate algorithms like Eigenfaces or Fisherfaces for better accuracy.

• Multi-User Support:
  Add support for multiple users to enable shared access to the locked folder.