It is another verification method in which an individual’s specific facial features are matched with the existing database. The system captures the face of an individual and compares it to the other faces for verification.
Machine learning uses particular algorithms to study not just the physiological aspects but also observe how the individuals smile and which muscles contract while doing so. This system can be a bit troubling because of environmental factors like lighting or accessories such as hats, glasses, and more. Besides, this process is entirely different from facial detection. It is only the verification of the presence of a real face whilst face matching is done by comparing a captured face with the existing database.
How Does it Work?
This technology works by analyzing not just the distance between eyes and nose but also evaluating the muscles’ movement with any facial expression like smiling and talking. There are specific algorithms designed to study facial features deeply. After this, the evaluated information is then converted into digital codes. These codes are then compared with the large database of records to identify the particular person.
Types of Face Matching Technologies
There are three main types of facial-matching technology. These can count in an image taken from different angles to improve the quality of the image. The angle of the face is of the utmost importance in the process of face recognition.
2D and 3D Face Recognition
A 2D image is a flat image captured from a camera from two angles. It may struggle with the lighting and the environmental conditions. The face might be hidden from one side which will then result in the false recognition of the person.
While a 3D image is taken from all 3 angles and can capture the entire face. It studies the face deeply and recognizes the shape of it. The shapes can also help in the verification of the identity because the shape is formed according to genetics. Lighting can also not affect the image taken from a 3D angle.
Real-Time and Stable Image
Real-time images are taken on the spot. It is beneficial mostly for access control purposes. The individual can be captured in the crowd and identified at the moment. Besides, a stable image can be taken on the spot and then it is compared with an existing database.
Mobile and Stationary Devices
Online face matching can be seen in mobile phones and smartwatches. These can identify the user at the moment. This technology can be used for transactions and to access a particular app.
Besides, stationary images are used by enterprises, malls, buildings, and other organizations in security cameras. These devices can monitor people continuously.
Benefits of Face Verification Technology
There are several benefits of face-matching AI technology. It is being used in many places such as offices, banks, retail, and many others. The purpose behind this is to maintain a safe and secure environment. Here are the list of benefits that this technology can provide:
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User Friendly
It is a user-friendly technology. Everybody knows how to look into a camera for a picture. Likewise, they look into the phone and can be verified by the system. In mobile phones, it is used to get access to an app or to unlock it without entering a password.
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Efficacy of the System
It is an extremely quick process. It can be used without any delay. It is better than entering a long password and if the password isn’t correct, you have to enter the whole password again. In this regard, face recognition is the easiest way to gain access to your mobile. It can also be used at airports or at places where you are running short of time. This system is quick because it can verify many people without wasting time.
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Non-Intrusive System
It is a non-disturbing matching of face, meaning thereby that it doesn’t require the presence of a person like fingerprint and iris recognition. It can be easily done by looking into the camera. It is also useful for those who are working from distant places and get access to the system just by looking at the screen. It is a comfortable and hygienic way of verification.
