You are the password!

My ID is a multi-factor biometric authentication technology focused on mobile devices.
My-ID creates a digital biometric identity and you can always carry it with you in your biometric wallet.


Without passwords, tokens and pins

Access only through multi-factor authentication: face, voice and vitality detection.

Protect your data in the cloud

You can encrypt files, documents, videos, posts and transfer them by e-mail. You can store them on the cloud in biometric format.

Secure transactions

access the system after the multi-factor biometric check


No fraud

Nobody can use My ID only you

One face, one voice, one person

My-ID creates a biometric digital identity

No phishing

No reuse of credentials

Biometric MFA

Multi-factor biometric authentication

Biometric web app access

Biometric control during access

Biometric access to the workstation

Only you with your biometric access


Carry your identity with you at all times

PSD2 / GDPR compliance

All PSD2 rules verified; no problems on GDPR standard verification

Want to find out more?


Detection of vital parameters

The MY-ID system identifies the person with biometric certainty through face, voice and vitality, and uses dedicated algorithms to detect their vital parameters.

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in My ID?

Fill in the form to receive more information and you will be contacted by one of our sales consultants.




Biometrics is an automated technology used to recognise persons using physiological identifiers. Biometrics covers a variety of technologies in which people’s unique identifiable attributes are used for identification and authentication. These include a person’s fingerprint, face, iris, voice, palm prints, which can be used to validate the identity of individuals. Biometric data are unique to each person, so they can be used in almost any application that requires accurate identification or verification of any individual

My-ID contains a facial identification system that does not require any advanced hardware, as it can be used with existing image capture devices ios and android smartphones, webcams, security cameras, etc.

Usually, these systems extract certain features from face images and then perform face matching using these features. A face does not have as many uniquely measurable features as fingerprints and irises, so the reliability of facial recognition is slightly lower than these other biometric recognition methods. However, it is still suitable for many applications, especially considering its convenience for the user. Facial recognition can also be used together with fingerprint recognition or another biometric method to develop more security-critical applications. The multi-biometric approach, followed by My-ID, is particularly important for (1-to-many) identification systems. In general, identification systems are very convenient to use because they do not require any additional security information (smart cards, passwords, etc.). However, the use of 1-to-many matching routines with only one biometric method may lead to a higher probability of false acceptance, which may become unacceptable for applications with large databases. The use of facial identification as an additional biometric method can drastically reduce this effect. This multi-biometric approach also helps in situations where a certain biometric characteristic is not optimal for certain user groups.

It offers fast and reliable identification with real-time face detection, the ability to process multiple faces in a single frame and fast face matching in 1-to-1 and 1-to-many modes.

The My-ID face recognition algorithm implements advanced face localisation, enrolment/enrolment and matching using robust digital image processing algorithms based on deep neural networks: Simultaneous processing of multiple faces. The face algorithm performs fast and accurate detection of multiple faces in live video streams and still images. – Gender classification. Optionally, gender can be determined for each person on the image with a predefined degree of accuracy during pattern extraction. – Real-time face detection. A conventional facial identification system can be fooled by placing a photo in front of the camera. The face algorithm is able to prevent this type of security breach by determining whether a face in a video stream is ‘live’ or a photograph. – Live detection :can be performed in passive mode, when the engine evaluates certain facial features, and in active mode, when the engine evaluates the user’s response to perform actions such as blinking or head movements.

My-ID optionally allows the estimation of a person’s age

My-ID allows for a minimum threshold of image quality


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