What is FaceMe?

FaceMe® Security represents a state-of-the-art surveillance solution that integrates effortlessly with PCs, workstations, and servers, significantly improving the functionality of video management systems (VMS). This innovative technology excels in recognizing individuals within busy settings by scrutinizing facial characteristics, even when subjects are masked, and can access their details from a pre-existing database. Beyond facial recognition, it also tracks body temperature, verifies adherence to mask-wearing policies by identifying violations, and alerts security to individuals on watch lists. The system is capable of quickly notifying security personnel or appropriate staff within the organization as needed. Moreover, FaceMe® Security Central efficiently compares the captured facial templates to the existing database, ensuring precise identity verification. It also features an intuitive web console that allows users to manage a Microsoft SQL-based face database, configure IP cameras, and inform relevant authorities about the entry of registered visitors, high-profile guests, blocked individuals, or employees accessing monitored zones, thereby enhancing the overall security framework. This comprehensive approach not only meets but also adapts to the evolving demands of modern security concerns. With its robust features, FaceMe® Security stands out as an essential tool for effective surveillance and security management.

Screenshots and Video

Company Facts

Company Name:
CyberLink
Date Founded:
1996
Company Location:
Taiwan
Company Website:
www.cyberlink.com/faceme

Product Details

Deployment
Windows
Linux
iPhone
iPad
Android
Training Options
Webinars
Video Library
Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

FaceMe Categories and Features

IoT Software

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization