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What is Oz Biometry?

Developed by specialists at Oz Forensics, the biometric module employs state-of-the-art artificial intelligence techniques and is consistently improved through regular data updates. In 2020, their facial recognition algorithm demonstrated outstanding accuracy levels when tested on the LFW dataset at the University of Massachusetts, highlighting its proficiency. The Oz Biometry module boasts quick identification capabilities, achieving response times of under one second while maintaining an impressive accuracy rate of 99.87%. Since the introduction of front-facing cameras on smartphones in the early 2010s, facial biometrics have become a popular and efficient means of user authentication. This technology can be utilized not only during the initial registration process but also for searching and validating identities against large biometric databases. Moreover, facial biometrics are essential in the KYC (Know Your Customer) procedure, where selfies are compared with photos from identification documents to confirm user identity and check their standing against biometric “black” and “white” lists. The incorporation of facial recognition into everyday security practices significantly improves both user experience and safety, fostering greater trust in digital interactions. As technology continues to evolve, the potential applications of facial biometrics are likely to expand even further.

What is FacePhi?

FacePhi offers a comprehensive solution for digital onboarding, authentication, and security through a range of biometric and antifraud systems, ensuring an exceptional user experience. This groundbreaking integration of biometric technologies and security measures creates a unified approach to digital onboarding and identity verification, allowing users to access, authenticate, and manage various services and products seamlessly across both mobile and web platforms. The framework is designed for easy integration, enabling clients to choose which components to implement, thereby improving the overall experience for users. By employing facial recognition technology, the system identifies individuals by analyzing their facial features, setting it apart from other biometric techniques such as iris scanning or fingerprinting, given its non-intrusive nature that requires no active participation from users—only a straightforward capture of their face through a webcam. This methodology not only simplifies the authentication process but also emphasizes user convenience and privacy, making it an appealing choice for businesses aiming to bolster their security protocols. Ultimately, FacePhi's innovative approach positions it as a leader in the realm of digital identity management, fostering trust and efficiency in the onboarding experience.

Media

Media

Integrations Supported

Integrations Supported

Facebook
WhatsApp

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Android
iPhone
On-Prem
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Oz Forensics

Date Founded

2017

Company Location

United Arab Emirates

Company Website

ozforensics.com

Company Facts

Organization Name

FacePhi Biometria

Date Founded

2012

Company Location

Spain

Company Website

www.facephi.com/en/

Categories and Features

Categories and Features

Authentication

Biometric
Knowledge-Based Authentication
Mobile Authentication
Multifactor Authentication

Digital Signature

Not specified

RegTech

Not specified

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