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Data Centralisation and Validation

From personal data collection to large and accurate People ID databases

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Personal data collected by civil servants, at local level, needs to be centralised in order to populate databases but also to ensure data consistency and validity.

Centralised People ID solution architecture frameworks developed by our Zetes PASS competence centre encompass:

  • secure data transfer and import module, transferring personal data collected in any kind of environment (even harsh) and via any type of communication infrastructure and transportation method (CD/DVD, Flash memory, FTP, mobile networks, satellite communication).
    This module also allows for importing/integrating transferred data into any (new or existing) industrial database such as Oracle, MS-SQL Server, DB2..., according to privacy rules defined by governments

  • detection of double or incorrect registration by analysing the biographic data and by implementing centralised biometrics validation systems, such as Automated Fingerprint Identification Systems, or AFIS, that allow for fingerprint comparison and detection of possible “doubles”, centrally or even remotely via standard Web-based highly secure server applications

  • validation services delivered by a remote central validation system (AFIS...), operated by Zetes.
    This system only uses collected biometric data and administrative information which is relevant for this validation process, thus guaranteeing absolute personal data confidentiality and privacy. 
    Zetes' validation services allow for detection of potential double registrations, based on configurable threshold definitions, and feed back this information, via a secure Web-based application, to the end-user for decision making

  • design and implementation of large People ID databases (National Register…) with links (unique number…) between biometric data and other information about each individual, always in accordance with and respect to protection and privacy rules defined by the public authority
 

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