Flexible Development PlatformEasy to develop, accurate, and flexible.
FaceMe® Platform is an on-premise and server based facial recognition API system. It supports various OS’ (Windows, Red Hat, and CentOS) that can be accessed through web browsers. FaceMe® Platform enables you to add facial recognition applications for many scenarios, such as ID verification, secure system login, and equipment access control. These applications cover many industries including financial, hospitality, retail, and government.
Management Console & Testing ToolsComprehensive management features for developers to monitor system status and test APIs.
Solutions Powered by FaceMe PlatformCheck out our solutions or leverage the FaceMe Platform to develop your own!
FaceMe® Platform is an easy-to-use solution built to meet the needs of developers. Consistently earning top rankings from NIST (National Institute of Standards & Technology), FaceMe® Platform’s facial recognition technology is amazingly accurate.
FaceMe® Platform consists of Central server (console), API’s, and system services, such as event logs and notifications. Through API’s it can enable services – such as 2-factor authentication – on any device with a web browser. Furthermore with support for Docker, developers can streamline installation and deployment of FaceMe® Platform on Red Hat Linux quicker and easier.
Improve security of financial data and information by adding facial verification 2-factor authentication. FaceMe® Platform enables financial institutions to seamlessly incorporate employee facial verification to access sensitive company information from any device, from any location, without disruption to employee workflow.
Achieve automatic clock-in/out of factory staff with FaceMe® Platform. Even when staff are wearing helmets, face masks, or both, FaceMe® Platform’s face recognition is incredibly accurate, helping to maintain safety while also managing employee clock-in/out.
FaceMe® Platform provides a comprehensive toolset for developing face recognition solutions.
FaceMe® Platform reliably provides face detection in milliseconds, even if faces are poorly lit, occluded (with masks), or in motion.
An n-dimensional vector set ("template") is extracted from a facial image.
Verifies identity by comparing an extracted facial template to previously identified images.
1:N search compares a facial template with pre-enrolled faces in the database to find the best match and confirm a person's identity.
Identifies characteristics such as age, gender, and mood, enabling customized ads and targeted marketing for smart retail, as well as collecting visitor statistics.
FaceMe® Platform verifies the quality of an image for any subpar conditions (blur, low light, etc.).
Add, delete, and update information about a person. Face management also does the same for specific facial images.
Group people according to specific criteria. Use groups as a target to apply a 1:N search, or on a video feed to perform facial recognition.
FaceMe® Platform supports liveness detection with 2D cameras, enabling anti-spoofing functionality using cameras on phones and tablets.
The FaceMe Platform provides comprehensive management consoles and API testing tools for developers to monitor and test functionalities.
Developer Dashboard
Developer Resources
Recognition Records
Database Management
Developer Settings
API Testing Tools
The web-based management console’s live dashboard provides the current system status, alerts, and logs.
In addition to powering software programs, FaceMe also provides out-of-box, web-based solutions that can be deployed onto any device equipped with a web browser.
Designed for smart offices, FaceMe TimeClock provides a clock-in/out interface that can be deployed on any browser-enabled device.
FaceMe TimeClock also provides a web-based interface for administrators to enroll employees, manage databases, and check the overall attendance rate of an organization or attendance record of a specific employee.
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Intended for retailers, FaceMe Smart Retail produces analytics reports from in-store cameras. Data on the number of visitors, peak hours, demographics, and facial expression can all help enhance customer satisfaction!
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Use Case
Facial Recognition Features
