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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
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