Camera injection
Injection replaces or inserts media between capture and verification. The face may look authentic even when the incoming evidence no longer represents the intended live session.
CAPTURE INTEGRITY
Trust the capture.
Trace the source.
FaceX checks camera authenticity to detect camera injection and virtual camera feeds. The aim is to establish confidence in the capture path before a realistic face is accepted as verification evidence.
Camera injection detection
Assess substituted media in the capture path.
Virtual camera detection
Identify an untrusted source feed.
Integrity-aware decisions
Source evidence feeds the risk engine.
THE PROTECTION LAYER
Camera authenticity, explained.
Virtual camera feeds
A virtual camera can supply stored or generated media as a camera stream. FaceX’s source checks assess whether the capture is consistent with the expected camera path.
Session integrity
Capture context and integrity evidence support a joined-up assessment. Untrusted source signals remain important even when a face comparison appears consistent.
FROM CAPTURE TO CONFIDENCE
How the evidence connects.
Source and session evidence are assessed before being combined with face and anti-spoofing results. A genuine camera and a convincing face are different questions.
THE EVIDENCE JOURNEYConceptual security flow
Camera sourceExpected capture path
Session contextCapture continuity
Integrity evidenceSource confidence
Camera authenticity checksInjection and virtual feed evidence
Combined risk decisionRequired checks and unresolved risks considered together
ApproveRequired evidence is consistent
ReviewMore evidence or attention needed
RejectBlocking risk or failed requirement
SEE THE DIFFERENCE
Evidence changes the outcome.
Choose a scenario to see how different signals can affect an example decision.
Illustrative scenarios only. These qualitative signals and policies do not expose production scores or thresholds. No camera access, biometric capture or live check occurs on this page.
EVIDENCE MATTERS
Confidence with context.
The security checks answer different questions. Complete identity verification needs their combined evidence.
Uncertainty remains visible
An inconclusive check is not the same as a passed check. Review and recapture paths can preserve that distinction in the applicant journey.
Performance has a scope
FaceX’s reported 99% deepfake figure does not establish a separate camera-integrity, anti-spoofing or full-system success rate. Read the performance context.
COMMON QUESTIONS
A clearer understanding.
Can a realistic face come from an untrusted feed?
Yes. A feed can contain convincing or genuine-looking face media while being substituted in the capture path. Source integrity must be assessed separately.
Is a genuine camera enough to prove liveness?
No. A real camera can capture a photograph or a video replay. That is why camera authenticity is combined with anti-spoofing.
Do these pages capture my camera feed?
No. These pages explain FaceX’s defenses and show illustrative scenarios. They do not request camera access, upload evidence or run a live identity check.
Further reading: NIST guidance on digital injection and forged media and NIST presentation attack detection evaluation.These sources explain the threat categories and evaluation concepts. They do not certify FaceX or validate its reported performance.