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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.
What is Azure Face API?
Incorporate facial recognition technology into your applications to create a user-friendly and secure interface without requiring deep expertise in machine learning. This innovative solution offers capabilities such as face detection, which recognizes faces and their features in images, and individual identification from a personal database accommodating up to one million users. It also includes emotion recognition to interpret various facial expressions like happiness, anger, and fear, and the capacity to identify and group similar faces. You can perform face identification based on diverse traits and seamlessly implement facial recognition with just a single API request, whether utilizing cloud services or local containers. Emphasizing enterprise-grade security and privacy protocols, this technology enables the detection, identification, and analysis of faces in both images and videos, opening doors to a variety of groundbreaking applications. Furthermore, it allows for the simultaneous detection of multiple human faces and their respective attributes, significantly enhancing the user experience and broadening the scope of potential uses. With these advanced features, developers can create more interactive and responsive applications tailored to user needs.
Integrations Supported
Azure Marketplace
Genetec Synergis
Orange Logic OrangeDAM
Integrations Supported
Azure Marketplace
Genetec Synergis
Orange Logic OrangeDAM
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$0.01 per month
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
CyberLink
Date Founded
1996
Company Location
Taiwan
Company Website
www.cyberlink.com/faceme
Company Facts
Organization Name
Microsoft
Date Founded
1975
Company Location
United States
Company Website
azure.microsoft.com/en-us/services/cognitive-services/face/#features
Categories and Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Categories and Features
Emotion Recognition
Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions