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features
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support

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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 Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AMI Data Center Manager No 
Google No 
Microsoft 365 No 
Qualcomm Snapdragon Ride No 

Integrations

AMI Data Center Manager Yes 
Google Yes 
Microsoft 365 Yes 
Qualcomm Snapdragon Ride Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App Yes 
iPad App No 
Android App Yes 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

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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