The app recognises faces based on encrypted image data stored in the camera. The application has a 97% hit probability for access applications.
Face recognition is based on face descriptors. The system calculates the similarity between the input face descriptor and all face descriptors previously stored in a gallery. The goal is to find the face(s) from the gallery that are most similar to the input face.
Since all biometric templates are exclusively mathemathical representations of users’ faces, biometric and personal information is strictly separated. This way of handling data ensures the highest level of privacy, even when dealing with extremely sensitive data.