EyeLock releases nano NXT iris-based access control device

June 16, 2015 - 

EyeLock Inc. announced it is now offering its new access control solution, nano NXT, which offers a sleek design, powerful capabilities, user-friendly operation, and affordability.

Using EyeLock’s proprietary iris authentication technology, nano NXT has a high biometric accuracy rate with a false accept rate of only 1 in 1.5 million for a single eye.

nano NXT offers a simple and cost-effective authentication method as it is network-compatible, is easy to install and does not require a card, fob or key.

As with all EyeLock identity authentication solutions, nano NXT includes EyeLock’s patented enrollment and iris-matching software.

There is also an optional SDK for those customers who want to customize their security solutions to integrate seamlessly with existing applications.

nano NXT offers a range of features and benefits, including two-factor authentication, Wiegand, F2F, OSDP and PAC, tamper detection, Power Over Ethernet (IEE 802.3af), on-board memory of up to 20,000 users, authentication on device or over a network, and optional network matching for multi-location and large database management.

The device also features a new web configuration tool for fast easy set-up and calibration, dual iris capture and matching, up to 20 people per minute throughput, simple integration with existing ACS, video-based system for unmatched user experience and convenience, and secure communication and encryption (AES 256).

Previously reported, VOXX Electronics Corporation integrated EyeLock’s iris identity authentication technology into a 2015 Jeep Wrangler, which validates the driver and authorizes the vehicle to start.

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About Justin Lee

Justin Lee has been a contributor with Biometric Update since 2014. Previously, he was a staff writer for web hosting magazine and website, theWHIR. For more than a decade, Justin has written for various publications on issues relating to technology, arts and culture, and entertainment. Follow him on Twitter @BiometricJustin.