Facial recognition technology identifies human faces in images or videos through a series of computational steps. Here's how it works:

  1. Image Acquisition
    A camera captures the image, which is then converted into a digital format.

    Facial Recognition Image Capture

  2. Feature Extraction
    Algorithms detect key facial landmarks (eyes, nose, mouth) and convert them into mathematical data.

    Facial Landmark Detection

  3. Model Training
    Machine learning models are trained on large datasets to recognize patterns and differentiate faces.

    Neural Network Model Training

  4. Matching & Identification
    The extracted features are compared with stored templates to verify or identify individuals.

    Facial Feature Matching

For deeper insights into deep learning applications in facial recognition, visit our AI Technology Guide. This technology is widely used in security, smartphones, and social media platforms. 🚀