FacePlugin delivers self-hosted biometric authentication that confirms both who a user is and that a live person is standing in front of the camera. Swap out static passwords and one-time codes, layer a face-and-liveness check onto multi-factor authentication, or gate sensitive actions behind a fast identity check – all while keeping biometric processing inside your own servers, private cloud, or supported mobile hardware. Because everything runs on infrastructure you control, there’s no per-authentication processing fee to budget around.
Biometric authentication confirms that the person requesting access is the same individual who originally enrolled, by comparing a fresh biometric sample against a previously stored template. FacePlugin builds this around facial biometrics: a user presents their face, the system checks that a live human is actually present, and the resulting capture is scored against the enrolled template.
This is a different job from identity verification, which typically establishes who someone is the first time they onboard. Authentication instead answers a narrower question – is this returning user the same person as before? – and FacePlugin can slot that answer into several access models:
Each check returns a structured match-and-liveness result to your application rather than a black-box yes/no. Your app, IAM, or SSO platform stays in charge of the actual decision – authorizing, rejecting, or escalating the request according to your own access policy.
Face matching by itself can tell you whether two templates look alike, but similarity alone doesn’t prove a real person is actually there. Liveness detection closes that gap by adding presentation-attack detection to the authentication step. FacePlugin pairs face matching with passive or active liveness checks so common spoofing attempts get identified and blocked, including:
FacePlugin’s biometric authentication bundles face detection, template extraction, and active or passive liveness into one lightweight SDK.
NIST-evaluated face recognition combined with presentation-attack detection stops photos, videos, and masks.
Biometric templates and match decisions stay inside your own infrastructure and are never routed through a third-party cloud.
Authenticate on mobile hardware even while offline – nothing about the check needs to reach the network.
Wire the SDK’s decision into your existing identity, SSO, or workforce-access stack through a small set of straightforward APIs.
Get an auditable match / no-match verdict back in under a second, so sign-in still feels instant.
Swap VPN, desktop, and SaaS passwords for a quick face check at sign-in.
Let end users open mobile and web apps with their face instead of typing a password or waiting on an OTP.
Require a liveness-backed face check before high-risk actions such as transfers, password resets, or privilege escalation.
The user registers a face template a single time; it’s generated and stored entirely inside your own environment.
At each login the SDK captures a selfie, checks for liveness, and compares it against the stored template.
A pass / fail decision comes back for your app or IAM platform to act on – granting access or triggering a step-up check.
FacePlugin authenticates users by pairing facial biometrics with liveness detection, giving you a secure alternative to passwords or an added layer on top of them.
Yes. Built-in liveness detection recognizes and blocks spoofing attempts that use printed photos, replayed videos, digital screens, or 3D masks before an authentication request is ever approved.
Rather than storing raw face images, FacePlugin generates encrypted biometric templates that stay securely on your own servers or private cloud – never in a third-party database.
Yes. The SDK integrates cleanly with existing IAM, SSO, and authentication platforms by handing back straightforward face-match and liveness results your systems can act on.
Yes. Face authentication runs through standard web cameras as well as native iOS and Android SDKs, including fully on-device operation for offline or high-privacy deployments.
Precise 1:1 and 1:N face matching, running entirely on your own infrastructure.
Passive and active anti-spoofing that catches presentation attacks before they reach matching.
The complete eKYC flow for verifying identity during onboarding.
Talk to our team about adding liveness-backed face authentication to your workforce or customer applications.