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features
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support

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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

Screenshots View All

Screenshots View All

Integrations

Genetec Synergis

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

Alternatives

Alternatives

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