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Average Ratings 0 Ratings

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ease
features
design
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

The integration of facial and vocal biometric authentication provides an exceptionally secure and user-friendly experience. Sensory employs its proprietary algorithms for speaker verification, facial recognition, and biometric fusion, drawing on its expertise in speech processing, computer vision, and machine learning. This innovative blend of facial and voice recognition maximizes security while ensuring a fast, convenient, and user-friendly verification process. Additionally, biometrics offer significant advantages over traditional authentication methods in terms of convenience. However, not all biometric solutions are equally reliable, as some may be susceptible to false positives, a risk known as "spoofing." Sensory's cutting-edge strategy incorporates both passive facial liveness and active vocal liveness, or a combination of both, utilizing a sophisticated deep learning model that significantly mitigates the risk of fraud from tactics such as 3D masks, photographs, and video recordings. This advanced approach sets Sensory apart in the biometric landscape, ensuring that users can trust the security of their authentication methods without compromising on ease of use.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

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

Sensory

Founded

1994

Country

United States

Website

www.sensory.com/face-voice-biometrics

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