Daon - Border Control, Border Management, Immigration Management
Markets
Daon Markets - Immigration Management, Border Management, Border Control

Border Management

Daon provides the identity assurance infrastructure at the heart of the most critical and advanced border control and immigration management systems in the world today.

Daon's technology enables improved security of national borders by providing a platform for positive identification with biometrics for visa and passport issuance, as well as entry and exit management in a country.

Daon's multi-factor, multi-biometric technology platform, DaonEngine, supports border management, border control and immigration management solutions - making them more secure by providing full non-repudiation and accurate identification and verification of individuals.

The DaonEngine platform has been independently proven to be highly scalable and flexible with the ability to integrate with multiple databases, applications and intelligence and business systems.

Daon has developed a highly secure infrastructure which:

  • Supports multiple identity credentials such as passports, visas, smartcards, RFIDs, identity cards etc. and multiple biometrics such as finger, face and iris
  • Integrates seamlessly with multiple applications and systems supported at border entry and exit points
  • Complies with international standards such as ICAO for the use of biometric identifiers in Machine Readable Travel Documents (MRTDs)
  • Has been independently assessed and proven to scale to handle very large population groups using multiple methods of authentication
For more information, please download the Daon Border Management solution sheet PDF (264Kb) at the Knowledgebase. Login/Register to receive full document

Daon was recently selected to provide the core biometric identity assurance software to support the Australian Department of Immigration and Multicultural and Indigenous Affairs (DIMIA) in operational biometric trials in the areas of Immigration and Border Management.

For more information, please download the case study (368Kb PDF) at the Knowledgebase. Login/Register to receive full document



 

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