In this article, we will try to understand what face recognition is, how it works and what practical applications it can have.

Biometric facial recognition is now one of the most demanded identification solutions for online identity verification.

What is face recognition?

Face recognition is a technology capable of identifying or verifying a subject through an image, video or any audiovisual element of his face

It is a method of biometric identification that uses that body measures, in this case face and head, to verify the identity of a person through its facial biometric pattern and data. The technology collects a set of unique biometric data of each person associated with their face and facial expression to identify, verify and/or authenticate a person.

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Face recognition system

The procedure simply requires any device that has digital photographic technology to generate and obtain the images and data necessary to create and record the biometric facial pattern of the person that needs to be identified.

Unlike other identification solutions such as passwords, verification by email, selfies or images, or fingerprint identification, Biometric facial recognition uses unique mathematical and dynamic patterns that make this system one of the safest and most effective ones.

The objective of face recognition is, from the incoming image, to find a series of data of the same face in a set of training images in a database. The great difficulty is ensuring that this process is carried out in real-time, something that is not available to all biometric facial recognition software providers.

Explore the use cases of face recognition technology in this article.

How does face recognition work?

Face recognition systems capture an incoming image from a camera device in a two-dimensional or three-dimensional way depending on the characteristics of the device. 

These ones compare the relevant information of the incoming image signal in real-time in photo or video in a database, being much more reliable and secure than the information obtained in a static image. This biometric facial recognition procedure requires an internet connection since the database cannot be located on the capture device as it is hosted on servers.

In this comparison of faces, it analyses mathematically the incoming image without any margin of error and it verifies that the biometric data matches the person who must use the service or is requesting access to an application, system or even building. 

Thanks to the use of artificial intelligence (AI) and machine learning technologies, face recognition systems can operate with the highest safety and reliability standards. Similarly, thanks to the integration of these algorithms and computing techniques, the process can be carried out in real-time.

Biometric facial recognition uses Cases

Face recognition uses focus on verification or authentication. This technology is used, for example, in situations such as:

  • Second authentication factor, to add extra security in any log-in process.
  • Access to mobile applications without a password.
  • Access to previously contracted online services (login on online platforms, for example).
  • Access to buildings (offices, events, facilities of any kind …).
  • Payment method, both in physical and online stores.
  • Access to a locked device.
  • Check-in in tourist services (airports, hotels…).

SmileID, the standard biometric facial recognition solution

At Electronic IDentification (eID) we have developed SmileID, a biometric facial recognition solution based on face recognition technology. 

SmileID, unlike other unsafe and non-reliable face recognition solutions, uses AI algorithms and machine learning to offer total reliability, while complying with the highest safety standards and the strictest regulations. In addition, it is a versatile and universal solution that adapts to any device and channel.

If you want to try the most advanced face recognition system, request a demo here.