Face 2 Face

Comparisons of the user's face obtained in live mode with a photo from the user database

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Face 2 Face Matching

Once the selfie is captured, it is converted to a biometric template. It is then compared to the template from the ID photo to verify the identity of an applicant

Machine learning and biometric algorithms are used to scan faces, run in-depth analyses, and verify ID photos automatically.

After 1 million different face tests, the algorithm has a 98.8% success rate.

Our facial recognition algorithm compares the photo from the ID with the selfie of the user to prevent fraud

  • Liveness Detection

    To solve the problem of classifying images for a "live" user, we present a liveness detection product.

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  • Documents Verification

    This technology is used to make comparisons between the document received online from the user with the document stored in the database.

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FAQ

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