Facial recognition is a technology that uses artificial intelligence and machine learning algorithms to identify and match human faces in digital images and videos. It can be used for various purposes, such as security and surveillance, identity verification, and tagging and organizing photos.
Facial recognition systems work by analyzing the unique features of a person's face, such as the distance between the eyes, nose, and mouth, the shape of the jawline, and the depth of the eye sockets. These features are then compared to a database of known faces to find a match. The process of matching can either be one-to-one (comparing a single image to a single record) or one-to-many (comparing an image to a large database of records).
Facial recognition has been widely used in various fields, as an example in Law enforcement, it can be used to identify suspects in security footage and to automatically match a suspect's face with mug shots in a database. Facial recognition technology has been a topic of intense debate and criticism in recent years due to concerns about privacy, accuracy, and bias.