ARTIFICIAL INTELLIGENCE SOLUTION PROTECTING IDENTITIES FROM FACE RECOGNITION
"Dramatic advances in Face Recognition (FR) technologies in recent years have led to proliferation of the use of automated recognition of people’s face images, facilitating the identification or the authentication of a person. How...
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31/05/2019
D-ID
71K€
Presupuesto del proyecto: 71K€
Líder del proyecto
DEIDENTIFICATION LTD
No se ha especificado una descripción o un objeto social para esta compañía.
TRL
4-5
Fecha límite participación
Sin fecha límite de participación.
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Información proyecto D-ID
Duración del proyecto: 4 meses
Fecha Inicio: 2019-01-30
Fecha Fin: 2019-05-31
Líder del proyecto
DEIDENTIFICATION LTD
No se ha especificado una descripción o un objeto social para esta compañía.
TRL
4-5
Presupuesto del proyecto
71K€
Fecha límite de participación
Sin fecha límite de participación.
Descripción del proyecto
"Dramatic advances in Face Recognition (FR) technologies in recent years have led to proliferation of the use of automated recognition of people’s face images, facilitating the identification or the authentication of a person. However, facial recognition can be as scary as it is useful. The statement ""Your face is your identity"" has become ever more critical with the proliferation of FR.
Face images, when stored in enterprise databases or disseminated through the web, pose significant risks of misuse, violation of fundamental privacy rights, unauthorized tracking and even identity theft. These threats are growing swiftly, with the growth of the FR market.
As a result, privacy regulations, such as the EU General Data Protection Regulation, now address face images not just as personal information, but as sensitive personal information, subjecting this data to strict privacy protection measures, security standards, and potentially huge fines and lawsuits, in case of data breaches.
D-ID™ is a high-risk/high-potential innovation that introduces a disruptive solution to assist companies to privacy-protect face images, while concurrently preserving their visual similarity (hence optimal usability) of the images, thus, strengthening compliance with the EU’s General Data Protection Regulation and reducing the risk for fines/lawsuits, as well as damaged reputation.
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