FacePhi achieves a system to identify the face behind the mask

This facial recognition algorithm is able to recognize people with up to 99% accuracy, and without any interaction with the environment
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PHOTO/ARCHIVO  -   FacePhi achieves a system to identify the face behind the mask

The use of masks to prevent the spread of COVID-19 has disrupted the operation of biometric solutions for identity verification because they hide part of the face, a problem that a new algorithm of facial recognition and Spanish seal seeks to solve. The technology developed by Spanish company FacePhi, specialized in biometric solutions, has software trained to focus on the differential features of a face in the eyes and its surroundings, which allows it to recognize faces partially covered, for example, by the use of masks.

This periocular facial recognition algorithm is capable of recognizing people with up to 99% accuracy, and without the need for any interaction with the environment, according to its creators. A percentage that avoids failures in facial recognition and possible impersonation.

The company has indicated that this technology has been designed to be activated voluntarily and with the authorization of the users, "providing them with secure access to data and activities by using their face as it is, even wearing a mask".

"The use of this technology goes beyond the current coexistence with the Covid-19 and can be a great ally for hospitals, clinics and laboratories, environments where the use of masks is constant and contactless identification solutions are the most recommended to avoid infections", they explain in FacePhi.