Vision-Box, a developer of identity management technology, has completed the deployment of its SmartGate border control solutions at eight airports across Australia.
The technology company began installing its Automated Border Control (ABC) eGates in Sydney Airport last year and has since implemented solutions at Melbourne, Brisbane, Perth, Adelaide, Gold Coast, Cairns and Darwin airports. A total of 83 SmartGates have been fitted as part of the initiative launched by Australian Government Department of Immigration and Border Protection.
The use of self-service biometric touch points offers a quick, reliable authentication of each passenger’s travel documents by matching the passport chip’s photo with a live photo. While legitimate travelers cross the border in a smooth, self-service way, Australian Border Force officers can focus on actual risks at the border.
Biometric cameras fitted to the eGates automatically adjust to the passenger’s height and innovative document feeder technology automatically positions the passport precisely on the reader eliminating any delays due to document misplacement or inadequacy of time for reading. During busy periods, each eGate is capable of processing up to 150 passengers an hour.
Peter Dutton, Australian minister for immigration and border protection, said, “This milestone delivers on the Australian government’s commitment towards streamlined border control processes and enhanced border protection capability at our international airports.”
Miguel Leitmann, CEO of Vision-Box, said, “This project is simply the most remarkable SmartGate roll out ever at a global scale, with state-of-the-art biometric technology intensifying border security at all major exit points of the country. We are very proud to have worked cooperatively with the Australian border protection authorities in implementing this project of reference and providing the best tools for major international airports to boost their capacity and manage increasing traveler volumes. 10 million passengers have been reliably identified so far.”
