arcazonosítás

Arcazonosítás, also known as facial recognition, is a biometric technology capable of identifying or verifying a person from a digital image or a video frame. It works by comparing selected facial features from a given picture to faces within a database. The process typically involves several steps, including face detection, feature extraction, and matching.

Face detection is the first stage, where the system locates and isolates human faces within an image. Once a face is detected, feature extraction analyzes distinct characteristics of the face, such as the distance between the eyes, the shape of the nose, or the contour of the jawline. These features are then converted into a numerical representation, often referred to as a facial template or faceprint.

Finally, the matching phase compares this generated faceprint against a database of known faceprints. If a match is found, the system can identify the individual or confirm their identity. Arcazonosítás has a wide range of applications, including security systems, unlocking mobile devices, social media tagging, and law enforcement investigations. However, concerns regarding privacy, data security, and potential biases in the technology have also been raised.