Face Liveness detection software solution - Oz Forensics
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Liveness detection for face recognition

Liveness application for mobile and web user registration and authentication. Over 200,000 checks per day worldwide.

As easy as taking a selfie.

General architecture:

Liveness Mobile\WEB SDK: for action control and video recording.

Liveness Server API: to capture the best shot and protect against biometry attacks.

Liveness detection for face recognition

What is the function of the mobile and WEB SDK?

We have developed client-side mobile and WEB SDKs for embedding into your WEB site and mobile application. We recommend using our SDKs to control shooting conditions, face position, protect against "deepfake" attacks and "video stream spoofing.

Control of conditions

In some cases, external conditions do not allow taking a clear photo or video of the face for further biometric identification and verification for Liveness.

Since users can check in various situations: outdoors, in the dark, on the move, in bright light, our SDK automatically detects shooting conditions (darkening, blurring, flashing) and illuminates the face in the absence of light or recommends choosing a more favorable conditions for shooting.

Control of conditions
Control of conditions

Control of the position of the face relative to the camera

Liveness verification aims to protect against spoofing attacks and select the best shot for further biometric identification. Face recognition algorithms show the best results on images corresponding to the VISA or VISABORDER format.

See what NIST dataset formats are

The more freely and from different angles a face is photographed, the more likely it is for face recognition algorithms to fail. If the face is cut off, rotated, tilted, or very distant into the shot, this may affect the fact that it may not be found, or the error will significantly increase.

Using our SDK, you can always be sure that the entire biometric identification or authentication process will proceed as quickly as possible.

Control of the position of the face relative to the camera
Control of the position of the face relative to the camera

Protection against attacks "video stream spoofing"

The security of the biometric identification/authentication process depends not only on the threats of spoofing attacks but also on specific attacks by software tools that create a virtual camera and “replace” the original video.

Such attacks exploit vulnerabilities in filming and sending media content, attacking the recording device itself.

We have implemented footage originality verification tools in our SDKs to verify that the footage is genuine and used the original camera.

Our algorithms are based on deep machine learning, check shots from the video, and track dozens of parameters (presence of glare and reflections, micromotions, pulse, etc.)

We have trained our system on tens of thousands of attacks. We also work with manufacturers of 3D masks and constantly searching for new samples.

This approach allowed our Oz Liveness solution to pass ISO 30107-3 Standard certification Level 1 and 2 at the NIST-accredited iBeta laboratory with 0% FAR.

View detailed report Level 1
View detailed report Level 2

What is iBeta test, ISO 30107 certification?

iBeta is nationally accredited as a test lab by the National Voluntary Lab Accreditation Program (NVLAP Testing Lab Code 200962) to ISO/IEC 17025:2017 requirements for the competence of testing and calibration laboratories).

In 2011, iBeta was accredited by NIST and became a biometrics expert in the National Voluntary Laboratory Accreditation Program (NVLAP) for Biometric Testing under NIST handbook 150-25.

In addition, iBeta procedures against the ISO 30107-3 Presentation Attached Detection (PAD) standard were audited by our accrediting body, and iBeta’s Scope of Accreditation was increased to include conformance testing to the ISO 30107-3 standard in April 2018.

As the subjects were cooperative, each species appeared as a natural face duplication (meeting the requirements of Property 1 and 2). All of the face feature captured in the artifacts contained extractable elements as they were acquired from the genuine subject (meeting the requirement of Property 3). In some cases, hats and glasses were added to the artifact during the presentation attack.

What is iBeta test, ISO 30107 certification?
What is iBeta test, ISO 30107 certification?

How is testing done?

The iBeta laboratory prepares artifacts for attacks. Artifacts for the testing consisted of six species:

  • a

    2D photo on matte paper with edges cut

  • b

    2D photo on a matte paper presented on a curved surface

  • c

    2D Mask with eyes cut out

  • d

    The photo displayed on a laptop or iPad

  • e

    3D Handmade paper mask

  • f

    Video shown on laptop or iPad

How is testing done?
How is testing done?
How is testing done?
How is testing done?
How is testing done?


A sequence of Liveness checks is made using attack artifacts: one original check and three attacks. This sequence is repeated 50 times for each attack.


On iPhone 6s

Of the 300 original Liveness tests that were performed with a real face, 299 were successful.

The error false positive of Oz Liveness was less than 1%. At the same time, not a single attack was missed, i.e., the accuracy of detecting attacks is – 100%.


On Android

300 out of 300 checks of a live person were completed successfully. All attacks were detected with 100% accuracy.

Thus, the error false positive of Oz Liveness is 0%. The detection accuracy is 100%.

Liveness Specification

Our architecture supports various implementations of the Liveness algorithm: you can set the size of the video that will be processed and stored in your infrastructure:

  • 1

    Video from 1 to 5 seconds: size from 1 to 5MB, processing time 1 – 5 seconds.


    It is recommended for remote identification in the banking sector. In some cases, regulatory requirements prescribe the recording and storage of a video file for an extended period of time, ranging from 1 to 10 years.

    This option can be used to establish business relationships in sectors with remote identification requirements.

  • 2

    Video from 1 shot (duration up to 1 second). Size 300 KB – 1 MB.


    For image enhancement and verification in the fintech sector, sharing economy with simplified remote identification requirements.

    For biometric authentication (Confirmation of high-risk transactions, passwordless login, access recovery).

    In cases where the speed of processing and transmission and, accordingly, the length of the client path is of paramount importance. Also, there are no regulatory requirements for file storage.

  • Support for most modern mobile devices and web cameras

  • Convenient SDK for embedding Android / IOS / WEB

  • The passage process – from 1 to 3 seconds to choose from

  • ISO 30107-3 Biometric PAD Standard by iBeta Level 1 certified with 0% FAR, view detailed report

  • ISO 30107-3 Biometric PAD Standard by iBeta Level 2 certified with 0% FAR, view detailed report

  • Processing speed – 1 process per second

Our algorithm is resistant to attacks:

  • Printed paper faces

  • Device screens with video playback

  • Substitution of images in the process of Liveness

  • Paper masks with cutouts

  • Animated avatars and deepfake

  • By the faces of sleeping people

Passive Liveness & Active Liveness

Active Liveness (cooperative) – invites the user to take some action (approach, wink, smile, turn the head)

The benefits of active Liveness:

In some cases, when obtaining a loan remotely or concluding an agreement, or other options for establishing business relations, the customer shall record the fact of an active action (user consent, expressed in the form of active action).

An active action means that the user has read the user agreement and has done what is asked of him: for example, he smiled or turned his head, thereby confirming that he is conscious and acting of his own free will.

Active Liveness
Active Liveness

Disadvantages of active Liveness:

Active Liveness requires a lengthy video (3 to 5 seconds) for the user to take action. This increases the customer path associated with the transmission and processing of the request.

Active Liveness reduces conversions by 5-10%. According to our statistics, from 5 to 10% of users do not want or cannot understand what is required of them in active Liveness (at what moment you need to smile or blink).

Detecting the best shot according to the VISA or VISABORDER standard for subsequent face comparison is complicated since, in the process of passing emotions (smile, wink), the head is tilted or turned.

Active Liveness does not affect security and protection against spoofing attacks.

The modern distribution of deepfake allows you to bypass any active liveness by animating the picture to perform the required action.

Therefore, modern approaches to countering spoofing attacks should not rely on active action. Active action should only be used to resolve disputes on the legal plane.

Passive Liveness

It does not imply any active action, except for the need to look at the camera.

The benefits of passive Liveness:

Passive Liveness does not require lengthy video and can fit in 1 shot. This simplifies transmission and processing speed up to 1 process per second.

Passive Liveness does not decrease conversions because it requires no additional action.

Passive Liveness is as safe as active. According to the VISA or VISABORDER standard, detecting the best frame occurs better on video that does not imply the presence of emotions and head turns.


Lack of proactive action can be the cause of controversial situations. However, such cases, according to our statistics, are unlikely.

Your Liveness interface

Create your Liveness check script interface with our customization libraries. Get inspired by scenario customization use cases.
Easy. Convenient. Unique.

New video coming soon

Want to know more?
Download a presentation

Frequently asked questions

I would like to know the API/SDK prices.

The pilot project is free of charge.

The cost of implementation in the production loop depends on the individual parameters of your project.

With our flexible licensing terms, you can easily find the right one for you. Get the price within one business day after filling the form here.

Can your solutions be purchased separately? For example, only a face anti-spoofing solution (Oz Liveness) or a face recognition solution (Oz Biometry)?

Yes, you can. Use one or more platform modules depending on the needs of your business.

I want to integrate your solution into my code. How can I get an API or SDK to test your solutions?

1. You can try one of the scenarios of our solution (from the user’s point of view) online right now in the web demo section.

2. You can get a personal account to test our solutions’ integration into your program code after an online meeting.

We will demonstrate our solutions according to your scenarios and answer your technical questions at the meeting. It will save you time spent on learning technologies.

After the meeting, we will send you the credentials for the demo stand, API, and SDK.

Please leave a request using your corporate email, and our manager will contact you to find a convenient time for a meeting.

3. If you are ready to test and have an application ID, please generate your free trial Mobile SDK license by completing the form.

How long is the trial license valid?

We provide a trial license for a pilot project for up to 2 months.

How to carry out PoC solutions in your infrastructure?

We will prepare distributions for your system configuration and provide trial licenses for up to 2 months.

Where can I find the documentation for your solutions?

Documentation for our solutions is located here: https://doc.ozforensics.com/oz-knowledge

How long does it take to implement your solution?

With the cloud delivery option, the solution is ready to use. All that remains is to build it into your process.

The on-premise installation of the Oz Forensics platform on your server is completed within one day, and in general, it will take you about 1 hour. We will prepare a personal installer for your system configuration in advance – you need to run it.

The speed of implementing the solution into your workflow depends on the developers on your side. In our experience, this implementation takes no more than one week.

Do you provide technical support while testing your solution?

Yes, we are ready to arrange a chat for you with our technical support specialists to help you speed up the testing of our solution. We prefer to use the Slack app for these chats.

Technical support is free during the trial period.

Do you have a solution for recognizing document fields?

We are not developing a document recognition solution. We use a partner OCR service that is integrated through our API. You can use the service of any other vendor and integrate it yourself through our API.

We are an IDTech/IT company. We are looking for a partner in the Liveness solution.

We are always open to new opportunities for cooperation. We prefer to discuss the details in an online meeting.

Leave a request using your corporate email, and our manager will contact you to find a convenient time for a meeting.

What is Liveness Detection?

Liveness detection is a cutting-edge technology providing facial biometric authentication to ensure that the person accessing a device or system is a live human being, not a prerecorded video or photograph. To learn more

How to test the liveness detection solution?

To test Oz Forensics fast and reliable algorithms please download Oz Liveness Demo Application for Android

Try one of the scenarios of our solution online right now in the web demo section.

I would like to see all features of Oz Forensics solutions. For example, what is the difference between on-device and server-based solutions?

You can see all the available features on Pricing page.

All products include:

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modularized APIs

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Flexible SDKs for iOS,
Android and web

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Easy integration
using Docker

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