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Facial recognition technology, at the service of assisted reproduction techniques with Ovobank’s oocytes

Ovomatch

by OVAVIT SL.

What is it about?

Facial recognition technology, at the service of assisted reproduction techniques with Ovobank’s oocytes

App Details

Version
1.0.7
Rating
(2)
Size
50Mb
Genre
Medical
Last updated
May 14, 2019
Release date
November 27, 2018
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App Store Description

Facial recognition technology, at the service of assisted reproduction techniques with Ovobank’s oocytes
Ovobank, the first egg bank in Europe, launches Ovomatch®, an innovative facial recognition system based on a mathematical algorithm and connected to its extensive database which searches among donors for the one that most resembles the recipient patient, at the same time that the complete anonymity that the law sets for egg donors is preserved at all times. The patient only has to input her physical characteristics and take a 'selfie' and the app will tell her at that precise moment how many donors with a high similarity to her are in the system. For the first time, facial recognition technology is applied to treatments with egg donation.
When a couple (or a woman with no male partner) requires an assisted reproduction treatment with egg donation, the most worrying question is whether their future baby will be physically similar to them. With the Ovomatch® system, Ovobank’s new APP , for free download on any mobile device, a patient can know, at that precise moment, the number of available donors with high similarity among the more than 4,000 existing in the Ovobank database, without, at any time breaking the anonymity that is marked by the law in these procedures.
The 'matching' work done by the Ovobank team, which takes into account phenotypic traits of the couple or the woman such as blood group, etc., is now joined with the technology of facial recognition. Ovomatch® scans multiple facial points of donors and recipients and compares them, thanks to a mathematical facial recognition algorithm, with its extensive database to find donors more like recipients. Anonymity is fully guaranteed and the selected donor, in addition to a total phenotypic compatibility, will have a high facial resemblance to the recipient patient, selecting the donor based on an objective process.

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