Qld Dept of Transport overhauling smart card biometrics

By Dylan Bushell-Embling
Thursday, 12 September, 2019

Qld Dept of Transport overhauling smart card biometrics

The Queensland Department of Transport and Main Roads has contracted Unisys to design and build a biometric facial and signature image processing solution for the state’s smart card driver’s licence.

Under the agreement, Unisys will provide a solution based on the Unisys Stealth(identity) multifactor identity management and authentication suite.

Stealth(identity) is designed to automate the process of capturing biometric data used to authenticate identities.

Users can use configurable APIs to integrate biometric authentication capabilities across physical and digital channels, including mobile devices.

Queensland was the first Australian state to introduce a smart card licence that uses biometrics to verify a person’s identity when applying for or renewing accreditation including driver and marine licences, industry accreditation or industry accreditation.

“Our smart card licences are a very secure form of documentation, as they are hard to forge or alter,” Queensland Department of Transport and Main Roads CIO Sandra Slater said.

“This helps reduce the risk of identity theft to Queensland licence holders and gives them confidence their personal licence information is being kept secure. By moving to Unisys’s Stealth(identity) modern image capture platform, we are ensuring the high standards are maintained into the future.”

Unisys will deliver the contract as a subscription-based service, and will provide service desk support and field services to support the department’s existing fleet of facial image capture devices, case management software and service centres across the state.

The solution will include a management dashboard to monitor device performance and alert users if action is required. It will also include facial image compliance software, facial image capture devices and signature capture devices.

Image credit: ©iStockphoto.com/shutter_m

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