Real-Time Face Recognition with Python and OpenCV Source Code

(8 customer reviews)

Original price was: ₹899.00.Current price is: ₹55.00.

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Step into the future with our Facial Recognition System source code, a robust solution powered by OpenCV and face_recognition libraries. This product is a gateway to countless applications, providing unparalleled convenience, security, and efficiency.

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  • Versatile Recognition: Seamlessly identify faces in real-time video streams, making it suitable for various applications.
  • Dynamic Loading: Effortlessly load multiple face images for recognition, offering flexibility for diverse scenarios.
  • Multi-Person Support: Recognize and differentiate between multiple individuals, perfect for large-scale implementations.


  1. Security Systems: Elevate your security infrastructure with facial recognition for access control and monitoring.
  2. Attendance Tracking: Streamline attendance management processes with automated face recognition.
  3. Personalized Services: Enhance user experiences by personalizing interactions based on facial identification.

Easy Integration

  1. Simple Installation: Get started with just a few commands to install the required libraries.
    pip install opencv-python face_recognition
  2. Script Customization: Easily specify image paths and associated names in the script for personalized recognition.

How to Use

  1. Install the required libraries.
  2. Customize the script by specifying image paths and names.
  3. Run the script to experience real-time facial recognition.
  4. Press ‘q’ to gracefully exit the video stream.


Fine-tune recognition accuracy by adjusting the tolerance parameter in the compare_faces function.


Join us in shaping the future of facial recognition technology. Your contributions, ideas, and feedback are invaluable. Open issues or pull requests to make this system even better!


This Facial Recognition System is licensed under the MIT License – see the LICENSE file for details.

Explore the possibilities of facial recognition by watching our YouTube demo. Transform your applications with our Facial Recognition System today!

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