Paravision Authentic Identity@JPG

Authentic Identity

The rapid evolution of digital services and the increasing global connectivity has come along with a challenge of ensuring authentic identity. Paravision is building Vision AI tools to support establishing trusted identity for customers, employees, or citizens in remote and digital environments.

Building Trust

With the relative ease of creating physical reproductions or digital manipulations, matching one face to another with highly accurate face recognition is not enough to prove that a presented identity is authentic.

Authentic Identity is a collection of technologies, systems, policies, and processes to create trust around identity in both physical and digital domains.

Challenges to Authenticity, Identity, and Trust

Physical Presentation Attacks

Also known as Spoofs, Physical Presentation Attacks can include paper cutouts, digital displays, latex or 3D-printed masks used with the intention of identity fraud

Digital Face Manipulations

Digital Face Manipulations can include deepfakes that use AI to replace the likeness or expression of one person with another in digital media

Synthetic Identities

Presentation attacks in a digital domain with synthesized, hyper-realistic faces that do not exist in the real world, such as those created by StyleGAN

Our innovations


3D NIR Liveness

Advanced liveness for embedded devices

Our most advanced Presentation Attack Detection for Ambarella CVFlow uses a combination of near-infrared and other sensing to deliver real-time, edge-based PAD for a wide range of 2D and 3D spoof attacks.

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2D/RGB Passive Liveness

Intuitive PAD for standard cameras

Deployable on mobile devices or server-side, Paravision’s 2D/RGB Liveness (PAD) is able to process single images and deliver guidance on presentation attacks in use cases where identity authentication relies on 2D RDB image, such as you would get from a smartphone selfie.

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Deepfake Detection

Tackling an emerging threat

From identity swaps and expression swaps to synthetic faces, face morphs, and adversarial attacks, digital presentation attacks are broad in nature and pose a serious risk to security, safety, and privacy. Paravision is proud to be building tools to detect them.

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Vision AI in action

Advanced 2D and 3D Liveness


Deepfake Detection


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San Francisco, CA 94111
[email protected]

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8 California Street, Suite 500
San Francisco, CA 94111
[email protected]

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Paravision Presentation Attack Detection Product Suite

Ensuring the authenticity of biometric images is critical to high confidence biometric identification and authentication in unattended or fully automated use cases, from digital ID verification to phy...

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Paravision Face Recognition and Liveness SDKs for Mobile Platforms

From consumer-facing IDV and eKYC applications to ruggedized tablets for government identity programs, from next-generation kiosks for point-of-sale and air travel to next generation access control an...


Authentic Identity: Challenges and Opportunities in Physical and Digital Domains

Presented identities can no longer be expected to be authentic identities. This creates risks for democracy, national security, business, human rights, and personal privacy. In this paper, we will exp...