Our face tells everything. Keeping it glowing is very important. One cute smile in that face can make anyone happy.
You might be thinking why am I speaking about all this. We think that our face should look good, but have you ever wondered that technology can recognise your face, it might be for good or bad. Yes, the technology has grown so vast using our own face it can make popularise or spoil our reputation.
Today I am going to tell you all about one such technology. It is called Facial Recognition Technology.
Facial recognition system is a technology capable of matching a human face from a digital image or a video frame against a database of faces. Such a system is typically employed to authenticate users through ID verification services, and works by pinpointing and measuring facial features from a given image. Facial recognition is a category of biometric security.
A face analyser is software that identifies or confirms a person’s identity using their face. It works by identifying and measuring facial features in an image. Facial recognition can identify human faces in images or videos, determine if the face in two images belongs to the same person, or search for a face among a large collection of existing images. Biometric security systems use facial recognition to uniquely identify individuals during user onboarding or logins as well as strengthen user authentication activity. Mobile and personal devices also commonly use face analyser technology for device security.
Facial recognition is a quick and efficient verification system. It is faster and more convenient compared to other biometric technologies like fingerprints or retina scans.
Companies use facial recognition to uniquely identify users creating a new account on an online platform. After this is done, facial recognition can be used to verify the identity of the actual person using the account in case of risky or suspicious account activity.
Many people are familiar with face recognition technology through the FaceID used to unlock Phones. Facial recognition does not rely on a massive database of photos to determine an individual’s identity it simply identifies and recognises one person as the sole owner of the device, while limiting access to others.
The camera detects and locates the image of a face, either alone or in a crowd. The image may show the person looking straight ahead or in profile. Next, an image of the face is captured and analysed. The software reads the geometry of your face. Key factors include the distance between your eyes, the depth of your eye sockets, the distance from forehead to chin, the shape of your cheekbones, and the contour of the lips, ears, and chin. The aim is to identify the facial landmarks that are key to distinguishing your face.
The face capture process transforms analog information (a face) into a set of digital information (data) based on the person’s facial features. Your face’s analysis is essentially turned into a mathematical formula. The numerical code is called a faceprint. In the same way that thumbprints are unique, each person has their own faceprint. Your faceprint is then compared against a database of other known faces.
Amazon previously promoted its cloud-based face recognition service named Rekognition to law enforcement agencies. Facebook began using facial recognition in the US in 2010 when it automatically tagged people in photos using its tag suggestions tool. Google incorporates the technology into Google Photos and uses it to sort pictures and automatically tag them based on the people recognised.
The technology is used for a variety of purposes such as, Unlocking phones, Cybersecurity, Airports, Banking, Marketing and advertisement, Healthcare etc.