How Liveness Detection Works
Passive liveness instantly recognises a face within one second, eliminating the need for additional verification
Active liveness initiates when the individual is not in an ideal environment, and hence additional movements are required to analyse facial features
Facia’s Liveness Detection Capabilities
Our system leverages facial movements to enhance authentication and ensure genuine presence of users.
Robust RESTful APIs &
iOS & Android compatible liveness detection SDKs and complete API integration.
Facia empowers the fastest liveness detection system in the world, with a <1s response time.
Liveness Detection Use Cases
Airport & Immigration Security
Travellers will be able to verify their identity and passport remotely. After liveness verification, the passenger's biometric’s data is securely stored in the airport’s database, which will facilitate smooth passage through checkpoints.
Access Control and Secure Spaces
Unlike conventional keycards and passwords, facial recognition with liveness detection offers unparalleled accuracy. It guarantees that only authorised individuals gain entry to corporate restricted areas, protecting valuable information and assets.
Banking & Financial Transactions
Liveness detection prevents unauthorised access to financial accounts. During remote transactions, users will perform liveness checks, ensuring they are rightful owners of accounts, making the overall process frictionless.
Crypto Wallets & DeFi
Our anti-fraud solutions offer liveness detection API and SDK for defi transactions. Liveness detection blocks hackers from using still images or videos as it requires real-time face verification involving facial movements that ensure only the real owner can perform a transaction. The ever growing DeFi industry has massive potential, and hence requires robust security methods as well.
Matchmaking and Online Dating
Liveness detection validates user profiles, minimises duplicate accounts, and eliminates the use of fake images or videos on dating platforms. It authenticates dating profiles and safeguards users against bot interactions, also protecting minors from accessing the platforms.
Spoof Attack Protection with Facia
Elevate your business’ security with Facia’s AI-powered 3D liveness detection technology that provides protection against several spoofing methods.
2D/3D Silicone Masks
Wax Figures & Lifelike Dolls
Frequently Asked Questions
Liveness detection is the process of ensuring that the system is accessed by a live/real individual only. It prevents spoofing attempts i.e. someone trying to access the system with a face mask, photo or a deep fake video.
Basic Liveness detection systems without active & passive capabilities often fail to detect real individuals in complex environments such as low lighting, reflections, and poor camera settings. Only advanced liveness detection systems ensure 100% accuracy and spoof prevention ensuring that only live individuals are able to access the system.
3D liveness is an advanced form of biometric authentication, a technology that verifies your identity using unique physical characteristics. Unlike traditional methods that use 2D images (like a flat photograph), 3D liveness creates a three-dimensional map of your face which ensures you're not an imposter.
In Know Your Customer (KYC) processes, a liveness check is used to verify that the individual presenting their identity is physically present and real. It's a crucial step in remote or digital KYC to prevent identity fraud, ensuring that the identity documents are not being presented by an imposter.
Anti-Spoofing Presentation Attack Detection in liveness checks is a security feature that identifies and prevents attempts to trick biometric systems using false representations, such as photos, videos, masks, or other artificial artifacts. It's essential for maintaining the integrity and reliability of biometric authentication systems.
Primary function of liveness detection in biometrics is to distinguish between a live person and a synthetic or non-live representation. This is crucial for securing biometric systems against unauthorized access or fraudulent activities, ensuring that the biometric data being captured is from a live, present individual.