SecurOS® FaceX
Next-Generation Facial Recognition System with Neural Network Technology
SecurOS® FaceX from ISS is a cutting-edge AI facial recognition system leveraging neural network-based technology for superior facial detection and recognition. It delivers exceptional recognition accuracy across various conditions, including changing illumination and angles, and supports unlimited database sizes.
Seamlessly integrating with Access Control Systems (ACS), SecurOS® FaceX enables a frictionless, hands-free access solution where a person’s face serves as their credential. It can also be combined with other credentials for multifactor authentication. Our anti-spoofing technology ensures face liveness detection, flagging any attempts using printed photos or images from mobile devices.
For added convenience and cost efficiency, the video server CPU handles all neural network processes, eliminating the need for specialized GPU cards. This advanced approach provides a streamlined, effective solution for modern security system needs.
Technology Overview
Face capture and recognition
Demographic Data Delivery
Create Authorized and Unauthorized Lists
Key Features
Event to Video Evidence Linking
Seamlessly link events to video evidence, capturing recognition data such as person name, camera, date, time, and watchlist links to video clips.
Powerful Recognition Engine
Automatically detect and recognize faces in real-time, displaying results in the SecurOS® FaceX® GUI for enhanced security operations.
Forensics Search
Perform forensic searches by photo to locate individuals in databases of previously detected people and watchlists.
Watchlist Management
Manage watchlists efficiently, including adding one person to multiple lists for streamlined security monitoring.
Anti-Spoofing
Ensure authenticity with anti-spoofing features, detecting and flagging attempts using printed photos or images from mobile devices.
Batch Import
Quickly import photos into watchlists with automatic duplicate checking and person name validation for efficient security management.