Digital identity verification is particularly important these days because many transactions take place remotely, and identity theft and cyber-attacks have increased significantly during the global pandemic. PresentID provides a seamless remote user ID verification solution through the combination of technologies developed in-house including ID Card OCR capture + Dynamic Face liveness detection + Voice verification + Eye tracking to ensure the highest levels of accuracy in ID verification and in fraud detection.

One of the key parts of the online identity verification process is Dynamic Face Liveness detection. PresentID Dynamic Face liveness detection can detect if the person in front of the video is real or fake. It can tell if the user is physically present. It prevents masks, photos, or video deepfakes to fool the system. We use convolutional neural network (CNN) deep learning algorithms to prevent fraud. We use a combination of biometric authentication algorithms such as Face, Voice, Eye , Head detection & tracking to have the highest accuracy to prevent fraud.

To keep the authentication in a top secure level, on the third part we ask the user to read a randomly shown message. Comparing the last voice to the new one, our platform can highly confirm if the person is exactly the right user.

Biometric SignIn