Face recognition is a way of recognizing a human face via a face time attendance machine. A face recognition technology uses biometrics to map face features from an image or video. It compares the info with a record of known faces to find a match. Face recognition can assist verify a person’s identity.
The face recognition market is expected to grow to 7.8 Billion Dollars in 2022, a boost from 4.5 Billion Dollars in 2017. That is because face recognition has several commercial applications. It can be utilized for all from surveillance to marketing.
Face Recognition Technology For Face Time Attendance Machine
The face recognition process simply needs a face time attendance machine that has digital photographic technology to generate and obtain pictures and data essential to make and record the face pattern of the person that needs to be identified.
Unlike any other identification solutions such as passcodes, verification email, images, or selfies of fingerprints, face recognition technology uses unique dynamic and mathematical patterns that make this machine one of the safest and most efficient ones.
The main objective of face recognition is, from the incoming picture, to find a series of a database of the similar face in a set of training images in a database. The difficulty is assuring that this procedure is carried out in quick time, something that’s not available to any face recognition service provider. The face recognition procedure can perform 2 variants depending on when it’s performed.
· The one in which, for the 1st time, a face recognition addresses a face to register it and connected it with an ID, in such a way that it’s recorded in the database. This procedure is also known as digital on boarding with face recognition technology.
· The variant in which the person is authenticated, before being registered. In this procedure, the incoming data from the cam is crossed with the exciting data in the records. If the facial matches already registered data, the user is granted access to the system.
How does face recognition technology work?
You might be nice at recognizing faces. You maybe find it a cinch to recognize the face of a friend, family, or acquaintance. You are very familiar with face features — their nose, eyes, mouth — and how they come together.
That is how face recognition technology work, but on ground, algorithmic scale. Where you see a face recognition sees data. And that data can be stored and accessed. For example, half of all US adults have their photos stored in one or more face recognition systems that law enforcement agencies can easily search.
So, how does face recognition technology work? Technologies vary, but here’re basic steps:
Step One — A photo of your face is captured from a video or photo. Your facial might appear alone or in a crowd. Your photo might show you looking straight ahead and nearly in profile.
Step Two — face recognition machine reads the geometry of your facial features. Key factors include the distance among your eyes or distance from chin to forehead. This machine identifies face landmarks — one system identifies sixty-eight of them — that are key to distinguishing your facial features. The outcome — your face signature.
Step Three — Your face signature — a mathematical method — is compared to the record of known faces. And consider this: At least 117 million US persons have photos of their faces in 1 or more police records. According to a report, the FBI had access to 412 million face features for searches.
Step Four — A determination is made and your face print might match that of a photo in a face recognition database.
Who uses face recognition
Many organizations and people use face recognition for time attendance machines — and in a lot of different sections. Here is a sampling:
· Colleges in the Classroom — Facial recognition technology can, in essence, tale roll. If you decide to cut class, your tutor could know. Do not even think of sending your brainy roommate to take your exam.
· Retailers in stores — Retailers can join surveillance cams and face recognition systems to scan the facials of shoppers. One goal — identifying doubtful characters as well as potential shoplifters.
· Airlines at departure sections — You might be accustomed to having a person scan your boarding pass at the gate to board your flight. At least one airline scans your facial.
· Advertisers and marketers in campaigns — Advertisers often consider things like age, gender, ethnicity when targeting groups for an idea or product. face recognition can be utilized to define those audiences even at something like a concert.
· Restricted areas and businesses at entrances — Some companies have traded in security badges for face recognition systems. Beyond security, it’d be one way to get some face time with the boss.
