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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
Integrations
No details available.
Integrations
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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