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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

Biometric security measures, particularly fingerprint authentication, are recognized for their superior security and user convenience compared to traditional passwords, leading to their growing prevalence as a distinctive feature in smartphones, tablets, and computers. Nevertheless, the use of fingerprint authentication introduces certain security risks that require specialized protections tailored for biometric data. To address these concerns, Synaptics provides robust biometric data protection through its SentryPoint Security Suite, which encompasses a variety of features and architectures designed to meet diverse market requirements. This innovative approach involves converting biometric data into a unique template format that is one-way, effectively preventing any recreation, reverse-engineering, or misuse that could lead to identity theft. Moreover, all biometric information is secured through encryption and digital signatures utilizing strong 256-bit Advanced Encryption Standard and Transport Layer Security technologies, which safeguard against potential eavesdropping, tampering, or fraudulent activities. In this way, users can enjoy the benefits of biometric security while maintaining confidence in the protection of their personal data.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AMI Data Center Manager
Google
Microsoft 365
Qualcomm Snapdragon Ride

Integrations

AMI Data Center Manager
Google
Microsoft 365
Qualcomm Snapdragon Ride

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

Synaptics

Founded

1986

Country

United States

Website

www.synaptics.com/technology/security-suite

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