NeuroVerify · Capability
Face Match & Liveness
A single passive selfie, matched to the document and confirmed as a genuine, live human, in real time.
Overview
What Face Match & Liveness does
Face Match & Liveness confirms two things in one step: that the person in front of the camera is physically present, and that they're the same person shown on the document. Liveness detection is passive, no blinking, head-turning, or reading a code aloud, so genuine users move through in seconds while replay attacks, printed photos, and masks are caught by depth and texture analysis running underneath the capture.
The 1:1 match compares the live capture against the document photo using models trained to hold up against the current generation of deepfake and face-swap attacks, not just static spoofs. Every match returns a confidence score and the underlying evidence, so a borderline result can be escalated rather than guessed at.
99.9%+
Liveness detection accuracy
<1s
Passive capture, no prompts
Depth + texture
Anti-spoofing analysis per frame
Inside the Module
One workspace, every screen your teams need
Liveness Capture
A passive capture flow that confirms a real, present human without asking them to blink, turn, or follow on-screen instructions, using depth and texture cues invisible to a printed photo or a screen replay.
Under the Hood
Built on capable foundations
1:1 Face Matching
Live capture matched against the document photo with a transparent confidence score.
Passive Liveness
Confirms a real, present human with no prompts, blinks, or head turns required.
Deepfake Resilience
Models trained against current-generation face-swap and injection attacks.
Depth & Texture Analysis
Frame-level signals catch masks, printed photos, and screen replays.
Start the Conversation
See Face Match & Liveness on your floor.
Book a working session and we'll show Face Match & Liveness running against your NeuroVerify environment.
Response within one business day · NDA on request