International Technical Support: (EU): +44 (20) 80891215 & (US): +1 312 248 7781 |

International Technical Support: (EU): +44 (20) 80891215 & (US): +1 312 248 7781 |

TrustCloud BioID

TrustCloud Identification solutions

Biometrics (from the Greek words bios – life and metron – measure) is the automatic study for the undeniable recognition of humans, based on one or more behavioural or intrinsic physical traits of the self.

Fingerprints, retina, iris, voice, facial patterns, hand veins, or palm geometry are examples of physical (unique) characteristics, while examples of behavioural characteristics include signature, step, and or click (dynamics).

Biometrics therefore aim to unequivocally identify a person through an electronic analysis of these physical or behavioral traits.

TrustCloud BioID

TrustCloud BioID solutions derive from the user’s choice of identity verification and biometric pattern conversion.

By taking a selfie, capturing the voice or other options, TrustCloud BioID extracts the intrinsic features of the user, converting them into an electronic pattern that will use one way or another depending on the case of use.

In the case of selfie, a biometric record will be created to compare it in the future with following facial authentications and allow the user access to an application or the execution of a specific transaction.

With this pattern, tokenized and encrypted for the user’s privacy, and with just 6KB, it will not be necessary to send the image again and again. Thanks to the life detector, secure accesses and transactions will be carried out avoiding phishing, fraudulent impersonation and Man in the Middle (MiTM) cyber attacks.

Biometric Identification

TrustCloud BioID compares 30,000 points on the face, achieving a success rate of 99.998% regardless of ethnicity


The user’s analysed selfies are not shared with entities for user’s privacy


Intelligent learning pattern


 Reduced standard footprint


Fake photo and video detector


Encrypted and tokenized pattern for its security


Prevents phishing, fraudulent impersonation and Man in the Middle

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