AI Face Recognition

Face identification and verification Biometric identification is used to identify and authenticate a person using a set of identifiable and verifiable data, unique and specific people. The identification answers the question, "who are you?" Authentication answers the question, "are you really the person you're talking about?" Here are some examples: In the case of face biometrics, two or three-dimensional sensors "capture" a face. Then, before comparing the collected image with the image stored in the database, an algorithm is applied to convert it into digital data. These automated systems can identify or check an individual's identity within seconds based on their facial features (eye spacing, bridge of nose, lip, ear, chin, etc.). They [...]

Face recognition is the process of identifying or verifying the identity of a person using their face. It captures, analyzes, and compares patterns based on the person's facial details. The face detection process is an essential step as it detects and locates human faces in images and videos.  The face capture process transforms analog information (a face) into a set of digital information (data) based on the person's facial features. The face match process verifies if two faces belong to the same person. Today it's considered to be the most natural of all biometric measurements. And for a good reason – we recognize ourselves not by looking at our fingerprints or irises, for example, but by looking at our [...]