Use Cases

What is Biometric Facial Recognition and Where to Use It?

This post will go over the definition of biometric facial recognition, its use cases and benefits, and discuss whether biometric face recognition is safe or not.
Halime Yilmaz
5 minutes

What is Biometric Facial Recognition and Where to Use It?

Have you ever wondered how your phone recognizes your face and unlocks it?  The technology behind it is called biometric facial recognition. We guess you are now wondering if this technology is safe for your privacy. If you say yes, keep reading! Biometric facial recognition is a technology for recognizing or validating an individual's identification based on their face. Face recognition systems can be used to identify people in photographs, videos, and in real time.  

In addition to allowing users to unlock their phones, facial recognition may also be used to match the faces of people strolling in front of specialized cameras to photographs of individuals who are on a watch list.

Biometric security comprises facial recognition. It uses body measurements of the face and head to validate the identity of an individual based on their facial biometric patterns and data. In order to identify, verify, or authenticate a person, the technology acquires a unique collection of biometric data related to their face and facial expression. Other types of biometric software include voice recognition, fingerprint recognition, and retinal or iris recognition for the eyes.

In this article, we will go over the definition of biometric facial recognition, its use cases and benefits, and discuss whether biometric face recognition is safe or not.

Definition of Facial Recognition?

The term "face recognition" refers to any technique that uses a person's facial features to identify or validate their identity. Whether in still images, videos, or in real time, it is possible to easily identify people with the help of a face recognition system.

In most cases, this form of identification is used in conjunction with a biometric scanner, such as a face scanner, to gain entry to a protected resource.

It uses body measurements, in this case, face and head, to verify a person's identity through facial biometric pattern and data. The technology collects biometric data from a person's face and expression to identify, verify, or authenticate them.

There are benefits to using biometric facial recognition for identification verification, but there are also concerns about privacy.

How Does Facial Recognition Work?

Biometric face recognition systems work by locating specific patterns in a person's facial features. Nose width, cheekbone shape, jawline length, and eye socket depth are some of the nodal points considered by biometric face recognition programs. The distance between the nodes is calculated, giving the face a numeric identifier in the database. A physical or behavioral sample is captured by the system during enrollment in the biometric facial recognition system, the first step in the four-step procedure. After this, the sample's distinctive information is extracted, and a template is made from it. The matching process begins with a comparison of the template with a fresh sample.

Facial recognition works by comparing the biometric modalities in an image to those in a person, or from one image to another. Matching is when the system determines whether new data features match or not. When a person confronts a camera, the system locates the face and performs facial prints or claimed identity matches. In some cases, the user must relocate to retry facial verification. The method determines a match in less than five seconds.

To function, biometrical face recognition systems take a picture of the subject, either in two dimensions or three dimensions.

These are far more trustworthy and secure than the information collected in a static image because they match the pertinent information of the incoming image signal to a photo or video in a database in real time. Because the database is stored on servers rather than on the capture equipment, biometric facial recognition requires an active internet connection.

Biological facial recognition systems are exceptionally accurate since they use AI and machine learning technologies. In a similar way, the procedure can be performed in real time because various algorithms and computing methods have been integrated.

Is Facial Recognition Safe?

Now that you know how biological face recognition works, let's get to the main question. Is biological facial recognition safe?

Yes, that's where things get tricky. Although biometrical face recognition technology is widely regarded as one of the most secure forms of verification, it also poses serious security risks. To conduct fraud using face recognition, hackers need just obtain your facial data. If you care about your privacy, you probably want to have some say over how your personal information, or "data," is used. The thing is, your faceprint is the data.

Selecting a reliable biometric facial recognition services is crucial for keeping your personal information safe. We know how to solve this problem: Cameralyze EDGE!

Cameralyze EDGE is highly recommended since it safeguards personal information and your privacy.

Cameralyze Edge solves your concerns about privacy by operating vision technologies that do not store or transmit image or video data. To help you comply with all rules, they are proposing to incorporate the most cutting-edge technology into your system so that it can adapt to the ever-changing privacy regulations around the world. 

The Benefits of Biometric Facial Recognition 

The market for facial recognition is expected to grow from $4 billion in 2017 to $7.7 billion in 2022. It is because of several benefits of biometric facial recognition. 

  • Increased speed of processing

There are advantages for businesses that use facial recognition because the procedure only takes a second. Companies want technology that are both safe and quick in this day and age of rampant cybercrime and sophisticated hacking tools. Identity verification can be completed rapidly and accurately through the use of facial recognition technology.

  • Integration

Biometric facial recognition technologies now on the market are generally well-suited to integrate with current security systems. Indeed, it can be implemented with little difficulty. This reduces the cost of implementation to a minimum.

  • Easier than any other biometric identification

As the technology spreads, users can pay with their faces instead of credit cards or cash. This could speed up checkout. Facial recognition gives a quick, automatic, and seamless verification experience, unlike fingerprinting.

Biometrical Facial Recognition Use Cases

In this age of digital hacking and online fraud, it's vital to verify people's identities. Face recognition software has come a long way in recent years, allowing for more reliable biometric identification and authentication to take advantage of this technology.

That's because there are many business uses for facial recognition. It has a wide range of applications, from surveillance to advertising.

Biometrical Facial Recognition in Law Enforcement

Throughout the world, law enforcement agencies are increasingly relying on biometric facial recognition systems. The police take booking photos of suspects and run them through state and federal facial recognition databases to find matches. When an arrested person is photographed, their image is stored in databases for future reference during criminal investigations.

Additionally, with the use of mobile face recognition, police can utilize smartphones, tablets, or other portable devices to capture a photo of a driver or pedestrian in the field and immediately compare that photo against one or more face recognition databases to try to make an identification.

Through private and public security cameras, it is also used to find lost adults and children and bring them back to their families. Biometric facial recognition is being used to look through millions of online ads for victims of human trafficking as part of this project.

Biometrical Facial Recognition in Retail Industry

Customers could have a better shopping experience with biometrical facial recognition technology. For example, kiosks in stores could recognize customers, make product suggestions based on their past purchases, and point them in the right direction. With "face pay," shoppers could skip long checkout lines and use faster ways to pay.

When it comes to e-commerce, there are endless ways to use biometric facial recognition technology. For example, KFC in China has been trying out one way that technology can be used to improve service. The system remembers customer orders and a biometric record of their face. When the customer comes back, the technology will recognize their face and suggest the same thing they got before.

Biometrical Facial Recognition in Banking

Facial recognition also has use in biometric online banking. Consumers may now authorize purchases with only a glance at their phone or computer, eliminating the need for one-time passwords. Facial recognition eliminates the need for passwords, making it more secure. Hackers stealing your photo database shouldn't be able to exploit it for impersonation if liveless detection is employed to establish whether the source of a biometric sample is a real human or a phony representation. There's potential for facial recognition technology to replace both debit cards and signatures.

Other use cases for biometrical face recognition; 

  • Adding a second authentication factor to any log-in procedure enhances its security. 
  • Unrestricted access to mobile applications without requiring a password. 
  • Digital Security: Access to online services contracted previously (logins)
  • Physical Security: Access to buildings (offices, factories, or events) 
  • Method of payment utilized in both real and virtual companies. 
  • Unlocking a locked device. Register with tourism services (airports and hotels).

To Sum Up

As the use of biometric facial recognition becomes more widespread, the scope for its benefits and use cases also increases. However, it is important to keep the privacy issues in mind. 

Cameralyze is one of the leading companies of face recognition and other biometric identification technology. Cameralyze's AI-based face recognition system provides you with state-of-the-art technological options and a one-of-a-kind interface for finding and identifying faces in any media, whether it is an image, a video, or a live stream. 

What distinguishes Cameralyze biometric face recognition is that it protects your privacy and personal information without requiring any technological expertise, code or operation! How easy is it?

Cameralyze AI-based biometric face recognition technology identifies and validates people instantly by comparing their pictures to their legal documentation and existing databases.

Cameralyze biometrical facial recognition uses artificial intelligence (AI) face recognition algorithms and machine learning to provide absolute reliability while adhering to the highest safety standards and the strictest regulations, setting it apart from other unsafe and non-reliable authentication face recognition software. Not only that, but it can be used across any medium and works with every device. 

Make sure to get in touch with us so that you may take advantage of the free trial!

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