Face comparison
Compare the captured face with an authorised BVN, NIN or document reference portrait. Keep resemblance separate from proof of live presence.
Connect a guided live face capture to an authorised identity portrait. FaceX combines face comparison, anti-spoofing, deepfake detection, camera authenticity and risk assessment to support a considered verification decision.

Clear face positioning and head-turn instructions.
Connect the captured face to an authorised portrait.
Assess presence, media and camera integrity.
Compare the captured face with an authorised BVN, NIN or document reference portrait. Keep resemblance separate from proof of live presence.
Anti-spoofing assesses photo and replay presentations. FaceX-developed deepfake models assess generated or manipulated face evidence.
Camera authenticity checks assess injection and virtual camera feeds. The risk engine considers the combined evidence to support approval, review or rejection.
Models trained from scratch assess manipulated face evidence.
Explore the defense →Assess camera injection and virtual camera feeds.
Explore the defense →Assess live presence, photo and replay presentations.
Explore the defense →Connect evidence to a considered decision.
Explore the defense →FaceX SDKs bring the verification journey into your web and mobile applications.
No. Face comparison assesses resemblance to a reference. Anti-spoofing assesses live presence and presentation risks, while deepfake and camera checks assess manipulation and the capture path.
FaceX uses deepfake detection models trained from scratch, camera injection and virtual camera detection, anti-spoofing and a connected risk engine. Explore the security pages for explanations and illustrative scenarios.
Keep uncertainty visible. Your configured policy can route the journey for review or request another capture rather than treating incomplete checks as approval.
Explore the product contract and your platform’s SDK guide.