Video Analytics

SECUROS™ Facex Capture And Facial Recognition

SecurOS™ FaceX Capture and Facial Recognition

The Next Generation Facial Recognition – Neural Network Based Technology
SecurOS™ FaceX from ISS is an intelligent video analytics module that provides facial detection and recognition for your security needs. With its extraordinary recognition accuracy, SecurOS™ FaceX operates in a wide range of conditions, i.e. changing illumination and angle and is capable of unlimited database sizes. SecurOS™ FaceX seamlessly integrates with Access Control Systems (ACS) allowing a person’s face to be their credential, creating a frictionless/hands-free access solution. The face could also be combined with other credentials for multifactor authentication.  Anti-spoofing technology checks for face liveness, and ensures that printed photos or images from mobile devices will be flagged. For convenience and cost savings, the video server CPU performs all neural network processes without the need of special GPU cards.


Face capture and recognition

Delivery of demographic data such as gender, age range, ethnic group, use of lenses, among others.

Create lists of authorized and unauthorized people.


Event to Video Evidence Linking

Collect information on all detected faces as well as recognition data such as person name, camera, date, time, watchlist, and link to the video clips in the video archive

Powerful Recognition Engine

Automatically detect and recognize faces in real-time and display the results in the SecurOS™ FaceX GUI (graphical user interface)

Forensics Search

Search for person of interest by photo (search in database of previously detected people and in watchlists)

Watchlist Management

Easily manage watchlists, including the add-one-person-to-multiple-watchlists option


Anti-spoofing feature to check for face liveness, and to ensure that printed photos or images from mobile devices (phone, tablet) will be flagged as spoofing alarms.

Batch Import

Batch import of photos into watchlists while automatically checking for duplicates on existing photos and person’s full name