Biometric Search and Match SDKs  /  Nexa|Face™ – Facial Recognition Software 2018-10-23T10:55:04+00:00

Nexa|Face™


SDK for facial recognition and authentication

Nexa|Face™ provides high-performance biometric algorithms for multistage facial recognition and identification or rapid, high-volume face authentication. Nexa APIs are reliable, configurable, and easy to use, complemented by a level of technical support that has helped make Aware a trusted provider of high-quality biometric software for over twenty years.

Nexa SDKs are designed to be easily configured towards optimization of a system for a given application, database, computing platform, and operational environment. They include tools that help quantify system performance, identify opportunities for improvement, and continuously optimize the system.

Fast, Accurate, and Scalable

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Nexa|Face used in
AwareABIS™

Nexa SDKs can be deployed as part AwareABIS™, a scalable biometric recognition and authentication platform that enables cluster computing optimized for rapid biometric search of extremely large databases or for high-volume biometric authentication.

AwareABIS


 

Nexa|Face used in
Astra™

Astra™ is a cluster computing platform used for large-scale biometric identification and deduplication using fingerprint, face, and iris recognition. It is a highly scalable platform that performs one-to-many search or one-to-one match against large stores of biometrics and other identity data. It does so by deploying biometric data and matching algorithms across a cluster of multiple computing nodes.

Astra


 

Nexa|Face used in
Knomi™

The Knomi mobile biometric authentication framework is a collection of biometric SDKs running on mobile devices and a server that together enable strong, multi-factor, password-free authentication from a mobile device using biometrics. Knomi offers multiple biometric modality options, including facial recognition, keystroke dynamics, and voice authentication as means to authenticate.

Mobile Biometric Authentication Modalities

Other modalities available

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Biometrics for banks: identity protection and regulatory compliance

Identity authentication based on biometric matching continues to grow along with consumer acceptance in both private and public sectors. Biometrics, the unique physical characteristics that all human beings have, include fingerprints and iris scans, as [...]

Improving Biometric Search Performance with Intramodal Fusion

We often hear about the benefits and applications of “multimodal” biometrics; the use of different biometric modalities together (e.g. fingerprint and face) to increase the performance and enrollment flexibility of biometric search and match solutions. [...]

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2018-05-21T16:11:10+00:00

Mobile Biometric Authentication: Pros and Cons of Server and Device-Based  |  WHITE PAPER

White Paper Mobile Biometric Authentication: Pros and Cons of Server and Device-Based MULTIPLE BIOMETRIC MODALITIES FOR AUTHENTICATION CAN ACHIEVE HIGHER BIOMETRIC PERFORMANCE. Introduction Biometrics use “inherent” factors (something the user is) to authenticate a [...]

2018-05-23T11:09:38+00:00

The Future of Mobile Authentication: Multimodal Biometrics  |  WHITE PAPER

White Paper The Future of Mobile Authentication: Multimodal Biometrics Identity fraud: a trillion dollar problem The vast majority of modern authentication implementations strive to maximize both security and convenience; that is, to: Make it as difficult [...]

2018-01-03T16:51:07+00:00

How Biometrics Expand the Reach of Mobile Banking

How Biometrics Expand the Reach of Mobile Banking Download PDF here if you are having trouble viewing. https://www.aware.com/wp-content/uploads/2017/09/aware-biometrics-mobile-banking-ebook-2.pdf The Mobile Banking Opportunity For financial institutions, mobile banking is a cost-effective way to reach [...]

2017-04-27T10:50:19+00:00

What is Biometrics as a Service? Benefits and Use Cases  |   INFOGRAPHIC

What is Biometrics as a Service? Benefits and Use Cases Infographic Biometrics-as-a-Service (BaaS) solutions from Aware are an attractive alternative to traditional biometric software models. This technology allows [...]

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