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Description
FaceMe® Security is a cutting-edge surveillance solution designed for seamless integration with PCs, workstations, and servers, enhancing the capabilities of video management systems (VMS). This advanced technology can identify individuals in crowded environments by analyzing facial features, even when they are wearing masks, and can retrieve their information from a stored database. In addition to facial recognition, it monitors body temperature, ensures compliance with mask-wearing regulations by detecting improper usage, and flags individuals on block lists. The system can promptly alert security staff or designated personnel within the organization when necessary. Furthermore, FaceMe® Security Central conducts a comparison of the captured facial templates against the existing database to authenticate identities accurately. Additionally, it offers a user-friendly web console for managing the Microsoft SQL-based face database, configuring IP cameras, and notifying relevant parties about the arrival of registered visitors, VIPs, block-listed individuals, or employees entering specific monitored areas, ultimately enhancing overall security management. This multi-faceted approach ensures a comprehensive surveillance solution tailored to modern security needs.
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.
API Access
Has API
API Access
Has API
Integrations
Genetec Synergis
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
CyberLink
Founded
1996
Country
Taiwan
Website
www.cyberlink.com/faceme
Vendor Details
Company Name
Oz Forensics
Founded
2017
Country
United Arab Emirates
Website
ozforensics.com
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization