🧠 Face Recognition Project

This Python project uses face recognition to open a specific folder when a predefined face is detected. The folder remains hidden, and once the correct face is recognized, the folder will be opened.

🐾 Features

• Face Recognition: Detects and matches a face with a pre-configured known face.
• Opens Folder: Once the face matches, the designated folder opens automatically.
• Webcam Interface: Uses OpenCV to access the webcam and process images for real-time face recognition.

Requirements

• Python 3.x
• Virtual Environment (optional, recommended)

🗽 Python Libraries

The project uses the following Python libraries:

• face_recognition
• opencv-python
• numpy
• pillow
• dlib

You can install all the required libraries via the requirements.txt file.

Setup 📘

1. Clone the repository or download the project files to your local machine.

2. Create and activate a virtual environment:

   On Windows:

   python -m venv venv
   venv\Scripts\activate

   On Mac/Linux:

   python3 -m venv venv
   source venv/bin/activate

3. Install dependencies: After activating the virtual environment, run the following command to install the necessary libraries:

   pip install -r requirements.txt

4. Prepare the reference face image:

   • Save your reference image (the face to recognize) in the same directory as the Python script.
   • Rename the file to your_image.jpg or change the filename in the script to match your image name.

5. Configure the folder path:

   • Set the folder_path variable in face_rec.py to the location of the folder you want to open.
   • Ensure the folder exists in the specified location.

6. Run the script: After the setup, run the script using:

   python face_rec.py

   The webcam will start, and the system will continuously check for a face. If the face matches the stored image, the folder will open.

7. Exit the script: Press the 'q' key to stop the webcam and exit the script.

License ⚖️

This project is open-source and available under the MIT License. See the LICENSE file for more details.

ALNA ([email protected])