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Aware launches cluster computing platform for biometrics and identity analytics

Categories Biometric R&D  |  Biometrics News

Aware, Inc. announced it launched its cluster computing platform Astra, which is optimized for performing large-scale identity-related security tasks, such as biometric search and deduplication, biometric authentication, and identity analytics.

Aware’s Astra is designed to distribute comparison operations and data across many computing nodes, which enables it to quickly search large biometric databases and perform high volumes of biometric authentications.

The platform is also able to perform advanced text-based search and analytics on large stores of identity data.

Astra uses open source platforms to ensure greater reliability and ongoing improvement, is fault-tolerant, and features a browser-based dashboard for system monitoring and alerts.

Although the platform is designed to be algorithm-independent, it also works seamlessly with Aware’s other biometric products, including Nexa fingerprint, face, or iris biometric search and match SDKs, Inquire text search and analytics SDKs, and biometric services platform.

“Astra’s algorithm independence extends Aware’s modular software design approach to large-scale computing tasks within the biometrics realm and beyond,” said David Benini, VP of marketing at Aware. “By leveraging open source infrastructure to achieve scalability, we help ensure that the platform is sufficiently reliable and well-supported to withstand the demands of consumer-oriented security applications as they grow.”

Aware will be showcasing Astra as well as other software products at connect:ID exhibition, which will be held March 23-25 in Washington, DC.

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