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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 Imageware Biometric Engine?

The Imageware Biometric Engine serves as a flexible and scalable identity management solution that utilizes multi-modal biometric technologies, guaranteeing that only authorized users gain entry to secure areas or access confidential documents. It employs a variety of biometric factors, enabling 1:1 identity confirmations, 1:N identification across larger populations, and X:N investigative searches against lists of individuals to monitor. This system is agnostic to both biometric algorithms and hardware, ensuring compatibility with a wide range of available technologies on the market. When integrating various biometric modalities, such as facial recognition and fingerprint analysis, the platform processes each type separately through tailored algorithms, subsequently combining the findings according to established logic. Since its inception in 1997, Imageware has consistently focused on developing robust solutions for secure identities, reflecting a strong commitment to the evolution of biometric technology throughout the years. As the platform advances, it continues to adapt to the increasing requirements for secure identity verification across multiple industries, demonstrating its resilience and forward-thinking approach. Furthermore, Imageware’s dedication to innovation signifies its intent to remain at the forefront of the biometric landscape.

Media

Media

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 Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour 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

Imageware

Date Founded

1987

Company Location

United States

Company Website

imageware.io/products/imageware-biometric-engine/

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