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Facial Recognition System

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Responsible: Ovoclinic |Purpose: Provide the information or services that you request. | Legitimation: Consent of the interested party | Recipients: No data will be transferred to third parties except legal obligation. | Rights: Access, rectify and delete the data, as well as other rights, as explained in the additional information. | Additional information: You can consult the additional and detailed information in our Privacy Policy section.

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Hidden
DD slash MM slash YYYY

Responsible: Ovoclinic |Purpose: Provide the information or services that you request. | Legitimation: Consent of the interested party | Recipients: No data will be transferred to third parties except legal obligation. | Rights: Access, rectify and delete the data, as well as other rights, as explained in the additional information. | Additional information: You can consult the additional and detailed information in our Privacy Policy section.

This field is for validation purposes and should be left unchanged.

When starting an egg donation treatment, many of our patients tell us they are concerned with the physical appearance of the donor. With the aim of providing a sense of tranquility that they will need with their treatment, Ovoclinic offers all de IVF patients the use of the Ovomatch App.

What is it?

Ovomatch uses an advanced facial recognition algorithm to analyze various biometric facial features and search amongst the available donors for the donor who looks most like the patient.

Most clinics reply solely on clinical and phenotypical criteria (hair and eye colour, height, complexion, blood group etc) when it comes to selecting a compatible donor for the patient. At Ovoclinic we go a step further with the inclusion of our Ovomatch technology, an app designed by the Ovobank egg bank.

how does it works?

Ovomatch complements the matching based on phenotypic characteristics, assuring patients that the donor will have as similar facial features as possible. The process consists of the following steps:

First, the patient’s phenotypic features are introduced into the application form to select, from Ovobank’s, extensive database, those that are compatible.

Next, the patient takes a ‘selfie’, from which Ovomatch’s facial recognition algorithm analyses her features and selects the donor with the closest facial resemblance.

The app is available to download for free.