Objective
FacePhi is a company founded in 2006 specialized in the development and commercialization of advanced Face Recognition Software solutions.
There is a strong demand in the banking industry for secure biometric applications. In fact, in May 2014 the European Central Bank (ECB) published a list of recommendations for increased banking security and biometrics was included as one of the most secure authentication methods. Concerns about banking security have always existed, but it has been after the breakthrough of online and mobile banking when bank fraud has become major issue to address with urgency. Currently, banking authentication is typically done by using 4-6 digits PIN codes. This form of authentication provides an extremely low security, especially in online banking where cybercriminals can hack this PIN code in a matter of seconds. As a result, the total value of fraudulent transactions is rapidly increasing year by year, being now estimated at €1.44 billion solely in Europe. In this scenario, biometrics holds great promise to become a reference banking authentication method in a near future. However, despite the clear opportunity there are still some barriers preventing the banking biometrics breakthrough, at least on a large scale.
FacePhi has developed a face recognition technology, specifically designed to overcome the current barriers preventing the large scale deployment of banking biometrics. Now, in the FACCESS Phase 2 project we seek demonstrating our facial recognition technology can actually unleash the large scale deployment of banking biometrics by the implementation of our product in the mobile/online platforms of 6 international banking institutions.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- natural sciences computer and information sciences artificial intelligence computer vision facial recognition
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.3.7. - Secure societies - Protecting freedom and security of Europe and its citizens
MAIN PROGRAMME
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H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
SME - SME instrument
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-SMEInst-2016-2017
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
03008 Alicante
Spain
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.