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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
VeriLook SDK provides exceptional facial recognition capabilities suitable for both stand-alone and client-server biometric applications. Designed with a focus on security, access control, and identity validation, it efficiently performs matching in both 1-to-1 and 1-to-many scenarios with impressive speed and precision. Its compliance with ISO 30103-7 standards for liveness detection effectively thwarts spoofing attempts, ensuring that real faces are distinguished from mere photographs.
The SDK is capable of recognizing multiple faces simultaneously, adeptly managing partially obscured faces, and extracting various attributes such as age, gender, presence of facial hair, eyewear, and emotional expressions. It is effective with images captured under visible or near-infrared lighting conditions, maintaining consistent accuracy even in fluctuating lighting environments and diverse head orientations.
Developers have the flexibility to integrate VeriLook using programming languages such as C/C++, C#, VB .NET, Java, or Python, across multiple operating systems including Windows, Linux, macOS, iOS, and Android. Over its extensive twenty-year history of global deployments, VeriLook has established itself as a reliable, adaptable, and developer-friendly solution for creating cutting-edge biometric applications that meet modern security needs. This extensive experience underscores its reputation as a trusted choice in the field of biometric technology.
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
€339.00
Free Trial
Yes
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