Liveness
Verifying human presence in real-time without any active participation from the user.
Top companies switch to Incode for our proven impact on fraud protection and growth
What is Liveness technology?
Liveness is a security feature that ensures the selfie captured during verification is of a live person, not a photograph, video, mask, or deepfake.
Incode’s passive liveness technology accurately detects and prevents fraud by identifying physical spoofs like photo printouts and masks, as well as digital manipulations like AI-generated deepfakes, using advanced proprietary ML models and in-house AI.
Top-notch fraud prevention that reduces drop-off by powering the fastest onboarding experience without compromising security
Incode’s passive liveness is powered by proprietary AI-driven ML models, delivering superior accuracy and an easier, faster user experience than conventional active liveness that requires time-consuming user actions.
Reduced drop-off
User-centric UX requires no interaction for improved completion rates
Fast, efficient capture
Selfie verified in near real-time (under 0.5 seconds) for accurate verifications
Enhanced security
Advanced technology detects injection attacks, presentation attacks and subtle biometric cues that are difficult for fraudsters to replicate
99.7%
Digital fraud attempts caught**Based on internal testing against production datasets
60%
Less drop-off than Active LivenessHow our Liveness and Personhood detection works
Our technology distinguishes between real users and impostors by performing multiple comprehensive checks – all in milliseconds
Advanced Personhood Detection
Analysis of biometric cues ensures a real person is present during verification, not a deepfake video.
Effortless user experiences
Quick, non-intrusive (fully passive) liveness detection with multi-frame capture for user-friendly security.
Image Depth Estimation
Employs algorithms designed to map the depth of faces to detect suspicious patterns
Digital spoof check
Checks image for presence of digital manipulations such as AI-generated deepfakes used for face morphs, face swaps, and image filters.
Physical spoof check
Verifies biometrics against live traits, detecting masks and printed photos.
Evasion check
Prevents tactics like non-live representations and tampering for authentic verification.
We analyze multiple frames from the capture to ensure authenticity
Here’s how it works
Data Capture
User actions are captured via the device’s camera and sent to Incode’s servers for analysis.
Here’s how it works
Preprocessing:
Captured data is resized, lighting adjusted, and background noise removed.
Here’s how it works
Feature Analysis:
The system analyzes features like facial textures, runs depth estimation algorithm, and inter-frame behavior.
Here’s how it works
Classification:
Extracted features are analyzed by machine learning models to detect live humans versus spoofs.
Here’s how it works
Decision-making:
Models decide if the user is live based on a threshold score, affirming authenticity or rejection.
Our Liveness models have been trained for nearly 10 years with large, statistically representative datasets – ensuring precise and impartial results across variables such as age, skin tone, and gender.
- Incode was the first company in the world to be certified by iBeta for passive liveness, achieving iBeta Level 2 – confirming our system’s effectiveness at preventing spoofing attacks.
- We adhere to ISO 30107-3 standards for Presentation Attack Detection (PAD).
Incode’s Liveness technology is preventing sophisticated fraud, enhancing user trust, and driving conversions and growth
Here are a few industries where Incode has worked extensively with enterprises to help them meet their user conversion and fraud prevention goals:
Banking and Fintech
Used for identity verification during account creation, on-going authentication, critical transactions or password reset.
Healthcare
Used for patient identification to ensure the right services are provided to the right person.
e-Commerce
Our solutions are pivotal for validating customer identities during account creation, secure checkout, and in response to irregular transactions
Insurance
Incode is instrumental in customer verification processes for policy initiation and claims handling, ensuring integrity and trust
Online gaming
We aid in affirming player identities to enforce age regulations and prevent unauthorized account usage