Face Liveness Detection
Prevent Spoofing & Deepfake Attacks
3D Passive Face Liveness Detection SDK -
Advanced Anti-spoofing Solution
Faceplugin’s 3D Passive Face Liveness Detection SDK delivers military-grade security for facial recognition systems, blocking sophisticated spoofing attacks with 99.8% accuracy.
Our AI-powered 3D liveness detection analyzes 78+ biometric factors (texture, depth, micro-expressions) to:
✔ Instantly distinguish real users from fake attempts
✔ Prevent unauthorized access without disrupting UX
✔ Maintain compliance with ISO 30107 & GDPR
✅ No User Interaction Needed – Seamless passive verification
✅ Detects All Attack Types – Photos, videos, 3D masks & deepfakes
✅ Cross-Platform Support – Android, iOS & Cloud Server
Passive Liveness Detection
Unlike outdated liveness checks that require awkward actions (blinking, smiling, head movements), our passive liveness detection SDK works invisibly in the background—no user interaction needed.
✅ Zero User Effort
✅ Stronger Fraud Prevention
✅ Higher Conversion Rates
Military-Grade Defense Against Every Spoofing Attack
Our Face Liveness Detection SDK is engineered to block 100% of known spoofing methods with industry-leading accuracy. Unlike basic solutions, we detect:
✅ 2D Attacks
✅ 3D Mask Attacks
✅ AI-Generated Fraud
Ultra-Fast Liveness Detection - Real-Time Anti-Spoofing in Milliseconds
Our high-performance liveness detection SDK delivers industry-leading speed for seamless user experiences:
⚡ Under 100ms Verification
📱 Mobile-Optimized
🖥️ Server-Grade Speed – Processes 100+ verifications per second in cloud deployments
Flexible Integration Options
Our cross-platform SDK supports seamless integration across all major programming languages and frameworks. Whether you’re building natively with Swift (iOS), Kotlin (Android), or C++, or using React Native, Flutter, .NET MAUI, or Ionic Cordova, our SDK ensures a smooth and efficient setup.
With comprehensive documentation, developer-friendly APIs, and multi-platform support, integrating our SDK is fast and hassle-free—helping you accelerate development while maintaining high performance.
✅ Native & Cross-Platform Support (Java, Kotlin, Objective C, Swift, C++, Python, React Native, Flutter, MAUI, Cordova)
✅ Android, iOS, Windows, Linux, MacOS
✅ Clear Documentation & Easy-to-Use APIs
✅ Lightweight, Scalable, and Optimized for Performance
Enterprise-Grade Face Authentication Security
Our Face Liveness Detection SDK adds an unbreakable security layer to facial recognition systems, blocking sophisticated spoofing attempts with 99.8% accuracy:
🛡️Protects Critical Assets
✔ Prevents unauthorized system access
✔ Stops identity fraud in authentication flows
✔ Safeguards sensitive user data
🏅Security Certifications
✅ iBeta Level 1 Certified
✅ iBeta Level 2 Certified
✅ ISO/IEC 30107-3 Certified
✅ FIDO Alliance Compliant
✅ GDPR & CCPA Ready
Our Face Liveness Detection(Face anti-spoofing) SDK is a groundbreaking solution designed to provide robust protection against fraudulent attempts to bypass facial recognition systems. Leveraging advanced 3D liveness detection technology, our SDK offers highly accurate detection of liveness indicators without requiring active user participation, ensuring maximum security against various spoofing techniques such as printed photos, video replays, 3D masks, and deepfakes. Our liveness detection SDK can run on any platform including Android, iOS and Cloud Server.
Passive Liveness Detection
Unlike traditional methods that rely on user interaction, such as blinking or smiling, our SDK does not require user interaction, seamlessly integrating into authentication processes without disrupting the user experience. This passive approach enhances security while ensuring a frictionless authentication process for users.
Protection Against All Types of Spoofing Techniques
Our Face Liveness Detection SDK is engineered to defend against a wide range of spoofing techniques. Whether it’s a printed photo, a video replay, a 3D mask, or a sophisticated deepfake, our solution can reliably detect and reject fraudulent attempts, safeguarding the integrity of facial recognition systems.
Cross-Platform Compatibility
Our Cross-Platform Liveness Detection SDK is compatible with a wide range of platforms, including iOS, Android, Windows, macOS, and Linux. Whether you’re developing a mobile app, a web service, or a desktop application, our SDK offers seamless integration and consistent performance across all platforms, ensuring a consistent user experience for your customers.
Flexible Integration Options
Our SDK provides flexible integration options to accommodate diverse development environments and programming languages. Whether you prefer native development using languages like Swift, Kotlin, or C++, or cross-platform frameworks like React Native or Xamarin, our SDK offers comprehensive documentation and flexible APIs to simplify the integration process.
Real-time Detection and Response
Our SDK provides real-time detection and response capabilities, offering immediate feedback on the liveness of facial inputs during the authentication process. By continuously monitoring for liveness indicators, our solution can swiftly identify and mitigate spoofing attempts, minimizing the risk of unauthorized access.
Enhanced Security Measures
With Our SDK, organizations can bolster the security of their facial recognition systems with an additional layer of protection against spoofing attacks. By accurately distinguishing between genuine faces and spoofed ones, our solution helps mitigate the risk of unauthorized access and data breaches, ensuring the confidentiality and integrity of sensitive information.
In summary, Our Passive Liveness Detection SDK delivers highly accurate detection of liveness indicators without requiring active user participation. With our advanced 3D liveness detection technology, seamless integration, and robust protection against spoofing techniques, our SDK empowers organizations to deploy secure and reliable facial recognition systems in various applications. Experience enhanced security with FacePlugin’s state-of-the-art SDK.
