Facial recognition

Right, what is facial recognition? to put it simply it is a technology, that is capable to identify & verify a person from a digital image or a video frame.

There are several different ways facial recognition works, we compare facial features with the database provided by users. That’s when a user takes a picture (selfie) on his mobile or web camera, as well as a document and submits encrypted information to our servers. All of this is done in real-time, by streaming data to our cloud servers, where our algorithms do all the hard work and give back answers.

That’s why facial recognition requires a high level of technology for it to be accurate. For starters we need a good quality camera to capture accurate images, then a fast speed connection to feed data back to the cloud just for algorithms to be able to do the work. And that’s just basics, there are thousands of other technical difficulties once we moved past collecting information. Training AI to map out facial features is one of them. That’s why biometric technology is a tricky one. While no person is the same, teaching a machine to recognize the difference is some task.

Artificial intelligence and facial recognition

We powered our solution with AI, ran over 5 million different faces and taught it to understand the difference. Results? 98,4% success rate. That is almost 5x higher than what an average human being is capable of. Pretty awesome if one might say.

  • Matching 160 face points
  • Matching duration < 0.5 sec.
  • Real face validation
  • Photo detection (spoofing)
  • Montage detection
  • Other types of fraud detection

💡Key facts

A facial recognition system uses biometrics to map facial features from a photograph or video. It compares the information with a database of known faces to find a match. Facial recognition combined with biometrics extracted from the document helps to verify personal identity.

Face Recognition

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