This page provides an overview of the face recognition capabilities using Computer Vision (CV) demos. Face recognition is a fascinating area of AI that can be used for various applications such as security, authentication, and personalization.

Features

  • High Accuracy: Our face recognition algorithm achieves high accuracy rates.
  • Real-time Processing: The system is designed to process images in real-time.
  • Cross-platform Compatibility: The demo works on multiple platforms, including Windows, macOS, and Linux.

How It Works

The face recognition process involves several steps:

  1. Image Capture: The system captures an image of the person's face.
  2. Feature Extraction: The algorithm extracts key features from the image.
  3. Comparison: The extracted features are compared with the known database of faces.
  4. Identification: The system identifies the person based on the comparison.

Get Started

To get started with the face recognition demo, follow these steps:

  1. Download the demo package.
  2. Extract the contents of the package.
  3. Run the demo using the command ./face_recognition.

Example

Here's an example of how the face recognition demo works:

  • Face Recognition Demo

Learn More

For more information about face recognition and its applications, check out our detailed guide.