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:
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Local Windows servers
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Linux servers
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Docker containerization
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Air-gapped environments
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VPC deployments
No cloud dependency. 100% data privacy. Complete control.
2.2 World-Class Face Recognition Accuracy
Our face embedding model extracts a 128–512 dimensional embedding vector, achieving:
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High precision matching
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Robust performance under poor lighting
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Stability against pose variations
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Support for profile-angle recognition
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Multi-face recognition in real time
2.3 Passive & Active Liveness Detection
Faceplugin delivers two types of liveness detection – passive liveness detection and active liveness detection:
Passive Liveness Detection
No user interaction required.
Our AI automatically detects:
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Printed photos
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Digital screen replay
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High-resolution photographs
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Deepfake facial patterns
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3D mask textures
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Skin reflection anomalies
Perfect for frictionless onboarding.
Active Liveness Detection
Users perform micro-actions such as:
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Blinking
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Turning head
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Smiling
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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:
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GAN-generated deepfake videos
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AI-created profile photos
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Animated synthetic faces
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Digital manipulations
Businesses stay protected against the next generation of fraud.
2.5 Face Attribute Detection
The SDK also identifies additional identity-related metadata:
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Age detection
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Gender detection
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Facial expression detection (neutral, happy, sad, angry, surprised)
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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:
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Face detection
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Face embedding
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Liveness detection
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Anti-spoofing
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Video capture processing
Example usage:
Use cases:
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Login authentication
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KYC onboarding
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Banking and wallet apps
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Identity verification apps
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Workforce check-in systems
4.2 Expo SDK
Expo simplifies mobile development and deployment. Faceplugin integrates using custom development builds.
Example:
Best suited for:
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Startups building MVPs
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Lightweight mobile verification flows
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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.
Features:
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Dart API
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Works on Android & iOS
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Native-level performance
Dart example:
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#.
Faceplugin supports:
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iOS
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Android
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Windows
Example:
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:
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Camera plugins
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Real-time liveness
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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:
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Real-time camera processing
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Liveness detection
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Anti-spoofing
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Embedding extraction
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Low-latency performance
Java example:
Kotlin example:
Ideal for:
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Banking
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Telecom
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Government apps
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Authentication kiosks
5.2 iOS SDK (Objective-C & Swift)
Our iOS SDK is optimized for Apple hardware (A13–A17 Bionic).
Swift example:
Objective-C example:
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:
Supports:
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Browser-based verification
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Online onboarding flows
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Light KYC
6.2 React SDK
Fully compatible with:
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Next.js
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Single-page apps
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Component-based UI
Example:
6.3 Vue SDK
Vue developers enjoy:
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Simple integration
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High-speed detection
7. Desktop & Server SDKs
7.1 Windows SDK
Compatible with:
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C#
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C++
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.NET
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Python wrappers
Used in:
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Access control
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Time attendance
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Workstations for KYC verification
7.2 Linux SDK
Linux SDK is the backbone of most enterprise production systems.
Used for:
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Server-side matching
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Batch processing
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Large-scale biometric search
Supports:
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Ubuntu
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CentOS
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Debian
7.3 Docker SDK
Docker container makes deployment effortless.
Features:
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Prebuilt images
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GPU acceleration
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Scalable microservices
Used in:
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Clusters
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On-premise servers
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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.
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Passive
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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:
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Driver safety apps
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Liveness checks
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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
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100% on-premise option
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Supports all major platforms
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Low latency
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High accuracy
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GDPR compliant
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Trusted by enterprises globally
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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.
