IDLive® Face
Passive Facial Liveness Detection

iBeta Level 2 PAD Badge

Fight Face Recognition Spoofing

The use of facial recognition for authentication is becoming increasingly prevalent — especially on mobile devices. But between easy access to images on social media and advances in digital and print image resolution, biometric systems have security gaps that fraudsters can exploit to successfully spoof a facial recognition system. These spoofs, called presentation attacks, include printed photos, cutout masks, digital and video replay attacks, and 3D masks.

Learn More About IDLive Face

    What is Facial Liveness Detection?

    Facial liveness has emerged as a way to fight fraud and ensure the integrity of face biometrics as a means of authentication or identity verification. Whereas face recognition can accurately answer the question “Is this the right person?” it doesn’t answer the question, “Is this a real person?”. This is the role of liveness detection.

    Facial liveness detection works with facial recognition to determine if a biometric sample is being captured from a living subject who is present at the point of capture. As such, it stops fraudsters from using presentation attacks to spoof a facial recognition system.

    IDLive Face: A New Generation of Passive Liveness Detection for Face Recognition

    The benefit of liveness detection is improved security and fraud detection. The benefit of ID R&D’s passive face liveness is that it is both secure and easy to use. Whereas other products add extra steps and time to the liveness check, IDLive Face is imperceptible to customers who don’t even know it’s happening. And, the software gives no clues to fraudsters on how to beat it. Because passive liveness is less confusing for users, abandonment rates are greatly reduced and less human intervention is needed.

    IDLive Face is the world’s first passive facial liveness detection product to identify spoofing attempts based on the same selfie used for facial matching and NO user participation — no smiling, blinking, head-turning, lights flashing, or moving the camera. This unique single image liveness detection approach is fast, accurate, and doesn’t require any capture-side software. The product uses patent-pending methodologies and a Deep Neural Network (DNN) based approach that examines different elements of the image to detect artifacts that help distinguish between a photo of a live person and a presentation attack. Read the single image facial liveness tech brief.

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    Fast
    Takes less than one second; unique single image approach uses the same selfie taken for facial recognition to determine liveness
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    Frictionless
    Single image approach requires absolutely no participation for a better user experience; improves automation rates and reduces customer abandonment
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    Flexible
    Works with all modern smart devices and web cameras. Available as an SDK or Docker for deployment in your data center or private cloud. On-device option available. Stores no data and offers superior scalability using a web services architecture.
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    Accurate
    iBeta/NIST Level 1 and Level 2 PAD Compliant for iOS and Android with a perfect score. The software powers millions of liveness checks monthly.
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    Works for Everyone, Everywhere
    ID R&D invests heavily in creating algorithms that deliver unbiased results across demographics including race, gender, and age.
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    Cost Efficient
    Reduces infrastructure costs, unlike other solutions that require high bandwidth internet connections and large-scale server deployments to process video.

    Want to learn more about passive liveness for facial recognition?

    Make the switch from Active to Passive Facial Liveness

    Understanding passive vs. active facial liveness is crucial. Most of today’s facial liveness technologies are “active”, requiring users to blink, turning their heads or move their phone back and forth. This results in three issues: First, fraudsters can present a photo with cut out with eye holes, use a mask or show a video to trick the system. Second, challenge-response techniques put attackers on alert that they are being checked. And lastly, active methods create friction that slows the authentication process, increases abandon rates and diminishes the overall user experience.

    The team at ID R&D has worked relentlessly to ensure you don’t have to sacrifice usability for security. Customers and partners who have made the switch from active to passive facial liveness, report significant reduction in abandonment, lower false rejections of real users, and highly accurate presentation attack detection.

    IDLive Face is the only single frame passive liveness product to achieve iBeta Levels 1 and 2 ISO/IEC 30107-3 presentation attack detection (PAD) compliance with a perfect score. Read more about iBeta here.

    IDLive Face Features

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      Passive UX – no action required
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      No special capture software required 
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      Single image analysis (vs multiple frames or video)
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      Background implicit method of attack detection
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      Identification of natural face movements (when available)
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      Level 1 and 2 ISO 30107-3 compliance; tested with both iOS and Android 
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      Cross channel input: mobile, web, stand-alone devices

    IDLive Face Benefits

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      Strengthen the security of mobile and web authentication
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      Eliminate friction by working in the background with no active participation from the user
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      Prevents fraudsters from knowing liveness detection is occurring
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      Ease remote customer onboarding and improve identity proofing processes
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      Reduce fraudulent accounts and account takeovers
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      Zero extra data to transmit, reducing network traffic and associated costs
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      No need for high bandwidth internet connections and large-scale server deployments

    Passive Facial Liveness Detection Use Cases

    ID R&D passive liveness is the choice of leading identity and access management vendors, onboarding and KYC providers, access control companies, IoT developers, and enterprise customers worldwide. IDLive Face is deployed in 50 countries, supporting and millions of liveness checks each month. The product is used in a range of  use cases across financial, government, travel, healthcare, building management and more.

    IDLive Face is packaged as an SDK and as a Docker with a simple RESTful API. Additionally, a mobile SDK (beta) is now offered for FIDO-compliant, on-device deployment. IDLive Face Mobile SDK runs on Android and iOS.

    Don't deploy face recognition for authentication without passive facial liveness. IDLive Face can be integrated with any face recognition software to prevent presentation attacks.

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