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features
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Description

Created by experts at Oz Forensics, the biometric module utilizes cutting-edge artificial intelligence techniques and undergoes regular enhancements through ongoing data updates. In 2020, their face recognition algorithm recorded exceptional accuracy rates on the LFW dataset during testing at the University of Massachusetts, showcasing its effectiveness. The Oz Biometry module provides rapid identification capabilities, achieving speeds of under one second with an impressive accuracy of 99.87%. With the advent of front-facing cameras on smartphones since the early 2010s, facial biometrics have emerged as a convenient method for user authentication. This technology can be employed not only during the registration phase but also for searching and verifying identities against extensive biometric databases. Additionally, facial biometrics play a crucial role in the KYC (Know Your Customer) process, where selfie images are matched with document photos to verify user identity and check their status against biometric “black” and “white” lists. This integration of facial recognition into daily security measures enhances both user experience and safety.

Description

The VeriEye Extended SDK offers a comprehensive set of tools for developing scalable biometric client-server systems that utilize sophisticated iris recognition technology. This version encompasses all features found in the Standard SDK while also incorporating essential components for deployment across multiple devices. Furthermore, it provides Iris Client licenses for a range of platforms, including desktop, mobile, and embedded systems, enabling developers to create and link clients in diverse environments. Additionally, developers can benefit from sample applications and straightforward tutorials that facilitate quicker development and integration processes. A pre-configured matching server is also included, supplying teams with an immediate backend solution for enrollment, template management, and rapid matching in both verification and identification contexts. Overall, this edition delivers a strong basis for developing secure iris recognition systems that function dependably across interconnected infrastructures, ensuring adaptability and efficiency in various applications.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

Pricing Details

€859
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App Yes 
iPad App No 
Android App Yes 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Oz Forensics

Founded

2017

Country

United Arab Emirates

Website

ozforensics.com

Vendor Details

Company Name

Neurotechnology

Founded

1990

Country

Lithuania

Website

neurotechnology.com

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