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Facial Recognition Technology: Functionality, Applications, & Significance in Today’s World

Describing how facial-recognition technology works and discussing its significance in different sectors. Also explaining why there’s a sudden surge in the demand for facial-recognition technology-based attendance systems.

Due to technological advancements, the biometrics system has reached new heights. And with machine learning and AI-based programming, a new technology emerged that is widely known as ‘face recognition’ today. From the education sector to law enforcement, the application of facial recognition has been diversifying every day, being used in various industries. Despite its universal adoption people often confuse facial recognition with face verification, which are two different things.

To understand facial recognition, we need to dig deep, and thoroughly look at its step by step process. And we’ll also talk about the significance and a large-scale demand for facial recognition-based attendance systems by numerous enterprises amid the phase of the novel coronavirus.

 

How Facial Recognition Works?

Face recognition access control and attendance system has grown to be the most effective contactless biometric system in the world, due to the continual use of Machine Learning and AI (Artificial Intelligence).

It is associated with the face mapping of a human face. To put it simply, it is a biometric identification process to authenticate a person’s identity using their facial features. The camera captures the photo and records the video, and the internal program saves that information into a database.

Facial Recognition works on collating the facial biometric patterns of an individual’s face with a database of the known faces, to find the correct match. Steps that the facial recognition process includes are.

  • Detecting a Face.
  • Extracting its Facial Features.
  • Representing the Face &
  • Matching the Face.

 

Let’s take a look at each of these steps in detail.

Face Detection

Detecting a face of an individual is the initial stage of the face recognition process. It starts with a person’s face and facial patterns for identification. Generally, when we think of a human face, we think of their eyes, nose, eyebrows and mouth. In the same way, the facial recognition system needs to learn what a face is and how it looks like, first.

The detection process starts with the eyes, eyebrows, nose, etc. by calculating the width of the eyes, the distance between both eyes and nose, shape and size of the mouth, and so on. It is carried out with the help of neural networks and knowledge engineering algorithms on a large database of human faces looking at different angles and positions.

 

Extracting Facial Features

In the second step, the software learns to detect facial landmarks via computer vision algorithms. Facial landmarks are also known as nodal points and each human face has at least 80 nodal points. They are the keys to identify faces saved into a large database. Once the face is registered it can be adjusted in a position, size and a scale to match with the person’s face. It will help the software to accurately recognize it even if the user’s face moves or expressions change.

 

Facial Representation

After the facial features are extracted, and the facial landmarks, positions, size, scale, etc. are learned by the software, it creates a unique feature vector for every face in a numeric form. These vector codes are also known as faceprints, much like fingerprints in biometric attendance system. And after this step comes the last part of the process of face-matching.

 

Face Matching

It is the final step in the process. After completing the first three steps, the vector codes or the faceprints are compared with other facial codes into the database. The database has all the information of the users who already registered their faces. Face matching is done to check whether or not the face belongs to the same person.

 

Areas Leveraging Facial Recognition

The adoption of facial recognition-based biometric attendance machine is growing rapidly amongst many industries. It is so because it provides people working in these sectors, a sense of security and privacy, however, some still argue in contrast with this idea. It is assisting them in solving their problems quickly and more efficiently.

 

Listed below are those sectors that adopted and relied upon this technology due to the worldwide spread of the coronavirus.

  • Education Sector
  • Media & Entertainment Sector
  • Sector of Securtity & Surviellence
  • Telecom & IT Sector
  • Healthcare Sector
  • Automobile & Transportation Sector

 

Due to the pandemic phase, the demand for Bio Face Reader escalated. It is a product manufactured by a renowned domestic manufacturer with their head office based in New Delhi and manufacturing unit in Solan, Himachal Pradesh. They have been continuously setting an example for newcomers to take part in Make In India initiative. With more than 20 years of brilliance, this manufacturer has been providing 24×7 after-sales support and leaving smiles on the faces of delighted clients.

The Bio Face Reader has played a significant role in making things easier for the corporate world during the horrible times of COVID-19, and will surely help to change the entire picture of the world tomorrow. Invest in contactless, facial recognition-based attendance systems today, for a safer, better, smarter, and a secured tomorrow.

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