Home / Mobile / Biometric Cards, Digital ID, and Machine Learning: This Week's Top Mobile ID Stories – Mobile ID World

Biometric Cards, Digital ID, and Machine Learning: This Week's Top Mobile ID Stories – Mobile ID World

Biometric Cards, Digital ID, and Machine Learning: This Week's Top Mobile ID Stories

This week’s roundup of Mobile ID World’s top stories brings us two prominent themes: alternative approaches to digital ID, and biometric cards.

The latter topic has been gaining momentum over the last several months, and this week brought the latest big development in this emerging space. IDEMIA and Mastercard have launched their first trial of biometric payment cards in Asia, in collaboration with Singapore-based FinTech specialist MatchMove:

IDEMIA and Mastercard Announce First Biometric Card Pilot in Asia

Meanwhile, another biometric cards specialist had some news of its own. IDEX announced this week that it had received a production order from Ubivelox, which is integrating IDEX’s TrustedBio fingerprint sensors into its own biometric payment card solution:

Korean Smart Card Specialist Orders IDEX Biometrics Sensors

In the world of digital ID, readers proved interested in the news that the University of Tennessee has become the latest academic institution to let students keep digital versions of their student ID cards on their iPhones or Apple Watches. This is part of a growing trend, and one that could intensify in the wake of COVID-19, if the UT case is any example:

Allegion and CBORD Provide Mobile IDs for University of Tennessee Students

And in a completely different approach to digital ID, Mizuho Bank and JCB are embarking on a pilot program to test out blockchain-based identity technology from Fujitsu. The aim is decentralized ID, with end users able to authenticate while being able to keep more of their personal data private:

Fujitsu, Mizuho, and JCB Team Up for Decentralized Identity Pilot

Finally, a palate cleanser in the form of AI news. This week brought the news that NXP had made a strategic investment in Au-Zone Technologies, whose DeepView ML Tool Suite will be used to enhance NXP’s eIQ Machine Learning software development environment. Ultimately, the aim is to create exciting new Edge machine learning products:

NXP Invests in Au-Zone to Enhance Machine Learning Capabilities

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Stay posted to Mobile ID World next week as we continue to bring you the latest news and interviews from the exciting world of digital identity. To see the hottest stories of the week in biometrics, visit our sibling site FindBiometrics.


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