Introduction

Faceplugin, a global leader in biometric AI, delivers a powerful suite of features including face recognition, face liveness detection, face feature embedding, face anti-spoofing, deepfake detection, age detection, gender detection, facial expression classification, and advanced spoof attack defenses against printed photos, video replay, 3D masks, and synthetic media manipulation.

Today, we are proud to present the Faceplugin Face Recognition SDK—a high-performance, on-premise and cloud-ready biometric engine that supports a complete set of platform-specific SDKs, enabling businesses and developers to integrate advanced facial AI into virtually any application stack.

Whether you’re building mobile apps with React Native, Expo, Flutter, .NET MAUI, Ionic/Cordova, native mobile systems using Android Java/Kotlin or iOS Objective-C/Swift, or developing powerful enterprise software using JavaScript, React, Vue, Windows, Linux, and Docker, Faceplugin provides a battle-tested, production-ready solution.

This article provides a comprehensive, 4000-word exploration of our SDK, its capabilities, its architecture, and its cross-platform integration guides—helping developers, CTOs, and product owners understand why Faceplugin is the trusted choice for secure, scalable, and future-ready biometric authentication.

1. Why Face Recognition Is at the Core of Modern Identity Verification

Facial biometrics have become one of the most adopted authentication mechanisms globally. With increasing digital services, remote onboarding, and virtual transactions, organizations require fast, secure, and accurate identity verification.

Key advantages of face recognition:

1.1 Frictionless User Experience

Unlike passwords or OTPs, face recognition doesn’t require typing, remembering, or device switching. Users authenticate with a glance.

1.2 High Security

Facial biometrics are unique and difficult to forge. Faceplugin’s engine uses deep learning to map face feature embeddings with outstanding accuracy.

1.3 Remote-friendly Verification

With mobile banking, digital wallets, e-commerce, and remote onboarding, face authentication works anywhere, any time.

1.4 Easy Integration With Multiple Apps

Thanks to platform-based SDKs, any application—mobile, web, desktop, kiosk—can seamlessly adopt face AI.

1.5 Strong Anti-Spoofing & Deepfake Protection

Modern spoofing attacks such as screen display, 3D masks, and AI-generated faces require advanced countermeasures. Faceplugin detects even sophisticated deepfake attempts.

2. What Makes Faceplugin Face Recognition SDK Unique?

Faceplugin’s Face Recognition SDK is built for maximum speed, accuracy, and security, making it ideal for mission-critical applications.

2.1 On-Premise Deployment

Many enterprises require that biometric data never leave their secure server environment. Faceplugin supports:

• Local Windows servers

• Linux servers

• Docker containerization

• Air-gapped environments

• VPC deployments

No cloud dependency. 100% data privacy. Complete control.

2.2 World-Class Face Recognition Accuracy

Our face embedding model extracts a 512~1024 dimensional embedding vector, achieving:

• High precision matching

• Robust performance under poor lighting

• Stability against pose variations

• Support for profile-angle recognition

• Multi-face recognition in real time

2.3 Passive & Active Liveness Detection

Faceplugin delivers two types of face liveness detection – passive liveness detection and active liveness detection:

Passive Liveness Detection

No user interaction required.
Our AI automatically detects:

• Printed photos

• Digital screen replay

• High-resolution photographs

• Deepfake facial patterns

• 3D mask textures

• Skin reflection anomalies

Perfect for frictionless onboarding.

Active Liveness Detection

Users perform micro-actions such as:

• Blinking

• Turning head

• Smiling

• Looking left/right

This provides stronger protection against targeted spoof attacks—ideal for financial institutions.

2.4 Deepfake Detection (AI-Generated Face Detection)

With the rise of generative AI, attackers can produce highly realistic synthetic faces. Faceplugin’s AI detects:

• GAN-generated deepfake videos

• AI-created profile photos

• Animated synthetic faces

• Digital manipulations

Businesses stay protected against the next generation of fraud.

2.5 Face Attribute Detection

The SDK also identifies additional identity-related metadata:

• Age detection

• Gender detection

• Facial expression detection (neutral, happy, sad, angry, surprised)

• Eye closeness detection (helps detect user drowsiness or forced spoofing)

These features enable applications like e-learning, workforce attendance, online proctoring, emotion analytics, and more.

3. Faceplugin Platform-Based SDK Overview

Now let’s explore every platform supported by Faceplugin—and how each SDK works.

This section provides a platform-specific overview, integration examples, and recommended use cases.

4. Mobile SDKs

4.1 React Native SDK

React Native is the most popular framework for cross-platform mobile apps. Faceplugin provides a smooth integration package with native bindings for face recognition react native version:

• Face detection

• Face embedding

• Liveness detection

• Anti-spoofing

• Video capture processing

Example usage:

import Faceplugin from "react-native-faceplugin";

const result = await Faceplugin.verifyFace(imageBase64);
console.log(result);

Use cases:

• Login authentication

• KYC onboarding

• Banking and wallet apps

• Identity verification apps

• Workforce check-in systems

4.2 Expo SDK

Expo simplifies mobile development and deployment. Faceplugin integrates using custom development builds for face recognition expo sdk.

Example:

import { runFaceLiveness } from "expo-faceplugin";

const isLive = await runFaceLiveness(frame);

Best suited for:

• Startups building MVPs

• Lightweight mobile verification flows

• Apps requiring OTA (over-the-air) updates

4.3 Flutter SDK

Flutter’s single codebase approach pairs perfectly with our high-performance native face recognition flutter sdk.

Features:

• Dart API

• Works on Android & iOS

• Native-level performance

Dart example:

final result = await Faceplugin.livenessCheck(image);
print(result.isLive);


Ideal for fintech, e-commerce, healthtech, and enterprise apps.

4.4 .NET MAUI SDK

.NET MAUI enables developers to build cross-platform apps using C#.
Face recognition .net maui sdk supports:

• iOS

• Android

• Windows

Example:

var result = await FaceLiveness.Check(frameBytes);


Perfect for enterprises using Microsoft technology stacks.

4.5 Ionic / Cordova SDK

Many legacy or hybrid apps use JavaScript bridges. Faceplugin supports both Ionic and Cordova with this sdk:

• Camera plugins

• Real-time liveness

• Face matching APIs

Great for organizations upgrading older hybrid applications.

5. Native Mobile SDKs

5.1 Android SDK (Java & Kotlin)

Faceplugin provides AAR modules for Android.

Capabilities:

• Real-time camera processing

• Liveness detection

• Anti-spoofing

• Embedding extraction

• Low-latency performance

Java example:

FaceResult result = FaceEngine.verify(bitmap1, bitmap2);


Kotlin example:

val isLive = faceEngine.checkLiveness(frame)


Ideal for:

• Banking

• Telecom

• Government apps

• Authentication kiosks

5.2 iOS SDK (Objective-C & Swift)

Our iOS SDK is optimized for Apple hardware (A13–A17 Bionic).

Swift example:

let result = FacePlugin.verify(image1: imgA, image2: imgB)


Objective-C example:

[FacePlugin verify:imageA with:imageB];


Great for apps requiring highest performance and security.

6. Web SDKs

Web-based verification is critical for onboarding users without mobile apps.

Faceplugin provides WebAssembly and JavaScript APIs.

6.1 JavaScript SDK

Example:

const result = await faceplugin.verify(base64Image);


Supports:

• Browser-based verification

• Online onboarding flows

• Light KYC

6.2 React SDK

Fully compatible with:

• Next.js

• Single-page apps

• Component-based UI

Example:

import { FaceLiveness } from "faceplugin-react";


6.3 Vue SDK

Vue developers enjoy:

• Simple integration

• High-speed detection

import FacepluginVue from "faceplugin-vue";


7. Desktop & Server SDKs

7.1 Windows SDK

Windows developers can use our face recognition windows SDK

Compatible with:

• C#

• C++

• .NET

• Python wrappers

Used in:

• Access control

• Time attendance

• Workstations for KYC verification

7.2 Linux SDK

Linux SDK is the backbone of most enterprise production systems.

Used for:

• Server-side matching

• Batch processing

• Large-scale biometric search

Supports:

• Ubuntu

• CentOS

• Debian

7.3 Docker SDK

Docker container makes deployment effortless using our face recognition docker sdk.

Features:

• Prebuilt images

• GPU acceleration

• Scalable microservices

Used in:

• Clusters

• On-premise servers

• Private cloud deployments

8. Faceplugin Features in Detail

8.1 Face Recognition

Fast, accurate, 1:1 and 1:N matching.

8.2 Face Liveness Detection

Detects whether a face belongs to a real human.

• Passive

• Active

8.3 Face Feature Embedding

Generates unique biometric vectors.

8.4 Anti-Spoofing: Printed Photos, Video Replay, 3D Masks

Detects every major spoof attack.

8.5 Deepfake Detection

AI model identifies synthetic faces.

8.6 Age Detection

Estimates user age range.

8.7 Gender Detection

Identifies gender classification.

8.8 Facial Expression Detection

Emotion recognition for analytics.

8.9 Eye Closeness Detection

Perfect for:

• Driver safety apps

• Liveness checks

• Anti-coercion workflows

9. Industries Powered by Faceplugin

Fintech

KYC, payments authentication.

Telecom

SIM registration, subscriber verification.

Healthcare

Patient identity, telemedicine access.

E-learning

Proctoring, facial analytics.

Government

eKYC, border security.

Enterprise

Workforce attendance, access control.

Retail

VIP recognition, smart checkout.

10. Why Businesses Choose Faceplugin

• 100% on-premise option

• Supports all major platforms

• Low latency

• High accuracy

• GDPR compliant

• Trusted by enterprises globally

• Anti-spoofing protection beyond industry standards

Conclusion

Faceplugin’s Face Recognition SDK is the most versatile, secure, and complete biometric AI solution available today. With unmatched cross-platform support—from mobile to web to desktop to server—developers can seamlessly integrate face recognition, liveness detection, anti-spoofing, deepfake detection, and facial analytics into any application.

Whether you’re building a fintech onboarding app, an enterprise attendance system, a government identity platform, or a next-generation digital service, Faceplugin provides the reliability, accuracy, and scalability you need.

Faceplugin isn’t just a product—it’s the future of secure digital identity.