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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
To fully harness the advantages of computer vision technology, achieving equitable outcomes across diverse ethnicities and genders is essential. Trueface collaborates with global partners to guarantee that its training datasets reflect the entirety of the world’s demographics. The accuracy of Trueface has been confirmed through industry-standard evaluations conducted at scale. Whether operating with a single camera or a vast network of thousands, Trueface has refined its production algorithms using challenging data and specific edge cases, including high-angle scenarios, to maintain precision across various deployments. Given the sensitive nature of biometric technology, it is imperative to uphold the highest security standards. Deployments can be executed on-premise, whether in the cloud, on physical servers, or at the edge, ensuring that sensitive data remains within its intended infrastructure. Additionally, the spoof detection technology effectively recognizes attempts at identity fraud and malicious actions. The onset of the COVID-19 pandemic and the widespread use of masks compelled Trueface to evolve and innovate its solutions to address new challenges in identity verification. This adaptability has positioned Trueface as a leader in the rapidly changing landscape of biometric technology.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Oz Forensics
Founded
2017
Country
United Arab Emirates
Website
ozforensics.com
Vendor Details
Company Name
BigBear.ai
Founded
1988
Country
United States
Website
www.trueface.ai/