Learn How Your Face Recognition App Works

 

Face recognition is considered the most reliable way of identifying or confirming someone's identity using their face. Facial recognition systems are the technology's greatest gifts as it identifies people in photos, videos, or in real-time. It is basically a category of biometric security. This is how the application operates.

Face Detection-Step 1

The first step involves the detection via a camera that locates a face's image, either alone or in a crowd. The image can show the person looking in profile or straight ahead.

Face Analysis-Step 2

In the second step, an image of the face is captured and examined. Most face recognition apps rely on 2D instead of 3D images because they can more suitably match a 2D image with public photos or those in storage. The software analyzes the geometry of your face. Main factors include the distance between your eyes, the distance from forehead to chin, the depth of your eye sockets, the shape of your cheekbones, and the contour of the lips, chin, and ears. The goal is to recognize the facial landmarks that are key to distinguishing your face.

Changing the Image to Data-Step 3

The face capture technique transforms analog information (a face) into a set of digital info (data) based on the individual's facial features. Your face's analysis is typically turned into a mathematical formula. This geometric code is called a faceprint. Just like the thumbprints are unique, each person has their own faceprint.

Finding a Match-Step 4

The faceprint is then compared with a database of other known faces. For instance, the FBI has access to up to 650 million images drawn from different state databases. On the Facebook app, any image tagged with a person's name becomes a part of its database, which may also be valuable for facial recognition. If your faceprint is similar to an image in a facial recognition database, then a determination is made.

Of all other biometric measurements, such as voice recognition, thumbprints, etc., facial recognition is considered the most authentic. Spontaneously, this makes sense, as we generally recognize ourselves and others by looking at faces rather than irises and thumbprints. The face recognition terminal suppliers provide the facial recognition app and equipment for finding missing persons, law enforcement, healthcare, tracking attendance of students and employees, etc.