What are facial recognition scanners? How do they work? Today we will understand the work of facial scanners.
Facial recognition is a way of recognizing a human face through technology. A facial recognition system uses biometrics to map facial features from a photograph or video. It compares the information with a database of known faces to find a match. Facial recognition can help verify personal identity, but it also raises privacy issues.The facial recognition market is expected to grow to $7.7 billion in 2022 from $4 billion in 2017. That’s because facial recognition has all kinds of commercial applications. It can be used for everything from surveillance to marketing. But that’s where it gets complicated. If privacy is important to a person, they probably want some control over how their personal information is used. And here’s the thing: “faceprint” is data.
Anyone might be good at recognizing faces. People probably find it a cinch to identify the face of a family member, friend, or acquaintance. People are familiar with their facial features — their eyes, nose, mouth — and how they come together. That’s how a facial recognition system works, but on a grand, algorithmic scale. Where they see a face, recognition technology sees data. That data can be stored and accessed. And consider this: at least 117 million Americans have images of their faces in one or more police databases, according to a Georgetown University study. According to a May 2018 report, the FBI has had access to 412 million facial images for searches
So how does facial recognition work? Technologies vary, but here are the basic steps: Step 1. A picture of a person’s face is captured from a photo or video. Their faces might appear alone or in a crowd. The image may show people looking straight ahead or nearly in profile. Step 2. Facial recognition software reads the geometry of a person’s face. Key factors include the distance between their eyes and the distance from forehead to chin. The software identifies facial landmarks — one system identifies 68 of them — that are key to distinguishing a face. The result: a person’s facial signature. Step 3. People’s facial signature — a mathematical formula — is compared to a database of known faces. And consider this: at least 117 million Americans have images of their faces in one or more police databases. According to a May 2018 report, the FBI has had access to 412 million facial images for searches. Step 4. A determination is made. A person’s faceprint may match that of an image in a facial recognition system database.