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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 FacialProof?

FacialProof represents a state-of-the-art facial recognition API designed specifically for secure, instantaneous identity verification. By combining advanced facial recognition technology with both active and passive liveness detection, anti-spoofing techniques, and emotion analysis, it ensures that only legitimate individuals can execute sensitive operations. This versatile system allows for both 1:1 verification and 1:N identification, which facilitates the detection of duplicates, banned persons, and recognized identities. Developers benefit from the ease of integrating this functionality into their applications through SDKs available in languages such as Python, JavaScript, Java, and PHP, catering to both web and mobile platforms. Hosted in the cloud to minimize latency and boost scalability, FacialProof places a strong emphasis on privacy and data protection, enabling effective fraud prevention, step-up authentication, and biometric re-authentication. It is particularly advantageous for startups, small and medium enterprises, as well as large corporations, delivering rapid and accurate AI-driven verification while supporting the recognition of multiple faces and providing real-time insights. Furthermore, the platform’s comprehensive features position it as an essential asset for enhancing user security and optimizing access controls across a broad range of industries, ensuring that organizations can maintain a high level of trust and safety for their users. In an era where security challenges are ever-evolving, FacialProof stands out as a reliable solution for modern identity verification needs.

Media

Media

No images available

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Oz Forensics

Date Founded

2017

Company Location

United Arab Emirates

Company Website

ozforensics.com

Company Facts

Organization Name

FacialProof

Date Founded

2026

Company Location

Kosovo

Company Website

facialproof.com

Categories and Features

Categories and Features

Facial Recognition

Not specified

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