Paravision Authentic Identity@JPG

Ensuring
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

01 Now available

Paravision Liveness

Intuitive Liveness Detection for standard cameras

Paravision Liveness enables fully passive, single-frame image processing and delivers guidance on presentation attacks in use cases where identity authentication relies on 2D RDB image, such as you would get from a smartphone selfie.

iOS Android Linux Windows
arrowLearn more about Paravision Liveness
02

Liveness for Specialized Cameras

Advanced liveness for embedded devices

Our 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.

 
arrowDownload the Datasheet
03 Now available

Deepfake Detection

Tackling an emerging threat

Paravision Deepfake Detection combats identity fraud and misinformation through advanced AI analysis of digital presentation attacks. Developed with an ethics-first approach, Paravision Deepfake Detection delivers world-class accuracy in a partner-friendly, cloud-ready package, providing a robust defense against the rising threat of digital face manipulations in various sectors.

Windows Linux
arrowRead More

Vision AI in action

Paravision Liveness

Watch

Paravision Liveness Demo

Watch

Paravision Deepfake Detection

Watch

Message successfully sent.Thank you for contacting us.

Headquarters

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

Let’s talk

Headquarters

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

Paravision will use all data provided hereunder in accordance with the Privacy Policy.

Download documents

Screen Shot 2022-10-03 at 2.34.17 PM

Paravision Liveness

Integrating an advanced frontend SDK and Docker-based backend software suite, Paravision Liveness delivers highly accurate yet fully passive liveness detection serving a wide range of digital identity...

Screen Shot 2022-10-03 at 2.40.56 PM

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_1.1

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...