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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 software is crafted to enhance the typical Windows login experience by making it more user-friendly while also boosting security measures. It enables users to log into a Windows system quickly and securely by utilizing any camera that is compatible with Windows. Once the program identifies the user's face, it automatically carries out the login process. By leveraging advanced neural network technology, Rohos Face Logon ensures continuous biometric verification for user identification. This system not only allows for automatic login but also unlocks the desktop upon successful facial recognition. Its self-training feature minimizes the chances of recognition errors. Additionally, users have the option to use a USB flash drive as a key for their computer or laptop. The software offers flexibility by allowing users to combine face recognition with a USB device for authentication or to use them independently. Furthermore, it supports multiple users, enabling the registration of several faces for different user accounts. All facial patterns are stored securely, and users can remove any that do not meet satisfaction criteria. This innovative approach to login security ensures a seamless and personalized experience for each user.
API Access
Has API
Yes
API Access
Has API
No
Integrations
FastSpring
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
Yes
Pricing Details
$11.90 one-time payment
Free Trial
Yes
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
Yes
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)
Yes
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
Rohos
Founded
2005
Country
Moldova
Website
www.rohos.com/products/rohos-face-logon/