The Face. Most Common Recognition of All Time.

It is no rocket science that people recognize each other from their faces, meaning that face recognition by its nature is not avantgarde as opposed to other biometric modalities.

Because of the advancement concerning biometric technology, we are now able to compute face algorithms and reflect them into mathematical contexts, including matching capabilities.

Due to its operational simplicity and high accuracy rates – as opposed to popular belief- facial recognition has now preferred by enterprises and commercials as well as government and law enforcement agencies.

The technology can be operated with numerous security-based application methods – and has extremely advanced capability to enhance low resolution images. Just because of this capability, facial recognition is specifically a perfect method for capturing images in quite crowded places, as the original image resolution would be quite poor.

Face Recognition

Because the images are acquired contactlessly, the technology is also hygienic.

Papilon’s facial recognition technology initially extracts face by based on pupil and then measures the ratios between the mouth, nose, ears, eyes and eyebrows.

Improvements in Facial Recognition Technology 

Face Recognition

Your Questions, Answered!

When discussing this technology, system manufacturers, integrators, suppliers and distributers often seem to hear such questions:

Constant improvements are initiated by Papilon itself regarding these issues- ensuring that the algorithms and application patterns are being updated as soon as the new technologies arise. These updates include lots of modules, such as capturing of moving individuals, ability to recognize glass-wearers, enabling side viewing and more on.

The pathway that goes to healthy identification passes directly by image quality which depends on the subject voluntariness. There are two types of scenario:

  • First scenario is that a person who is willingly give their facial display in pre-arranged platforms. This cooperative person’s captured image quality is quite likely to be high, if not perfect.
  • Second scenario is that a person whose face is captured through surveillance cameras at a monitored area, or maybe in a crime of scene. Consequently, this non-cooperative person’s image quality cannot be expected to be high. Here image enhancement applications comes into the picture. It is possible to yield the best possible version of the image thanks to these applications therefore attain more outcomes.