What is the face recognition system in AI?
Face recognition is a form of artificial intelligence (AI) that mimics a human capability to recognize human faces. Just like when a human recognizes a face, facial recognition software captures facial features and creates a pattern of facial features which it uses to identify or group a face.
A face recognition system is a form of AI technology that uses algorithms and machine learning to identify or verify individuals based on their unique facial features.
The process of AI-powered face recognition typically involves a series of steps:
Image Capture: The system first captures an image or video of a face using a camera or other optical device. This can be done in real time or from a stored photo.
Face Detection: Using computer vision, the system scans the captured image to locate and isolate faces. It separates the face from the background and other objects.
Feature Extraction: Once a face is detected, the system analyzes its unique features, known as nodal points or landmarks. These include the distance between the eyes, the shape of the nose, and the contour of the jawline. These features are then converted into a unique digital code or mathematical representation, often called a "faceprint" or "template."
Comparison: The generated face template is then compared against a database of known faces. This can be a one-to-one comparison (to verify a person's identity) or a one-to-many comparison (to identify a person from a large group).
Matching and Verification: The system calculates a similarity score between the new face and the stored templates. If the score meets a certain threshold, the system confirms a match and either identifies or verifies the person's identity.


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