Ensuring
Authentic Identity
The rapid evolution of digital identity services and the increasing ease of AI-powered image manipulation 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 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
Paravision Liveness
Fully passive liveness for standard cameras, including smart phones and webcams
Deployable on mobile devices or server-side, Paravision Liveness is able to process single images or video frames and deliver iBeta certified guidance on presentation attacks in use cases where identity authentication relies on 2D image, such as you would get from a smartphone selfie.
Learn more about Paravision Liveness
Deepfake Detection
AI powered detection of deepfake imagery and video
Paravision Deepfake Detection is built to help combat identity fraud and misinformation in identity verification, media and communications platforms, and government programs, and offers AI-based analysis to assess the likelihood that still images or videos have been digitally manipulated. Read more
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Liveness for specialized sensors
Advanced liveness for custom sensors
Our advanced Liveness Detection for Ambarella CVFlow uses a combination of near-infrared and other sensing to deliver real-time, edge-based livenes detection for a wide range of 2D and 3D spoof attacks.
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Headquarters
San Francisco, CA
[email protected]
Let’s talk
Headquarters
San Francisco, CA
[email protected]
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...
Paravision Deepfake Detection
Increasing prevalence of deepfaked imagery in traditional and social media is undermining the public’s understanding of what is real and what is not. In the context of digital identity, deepfakes a...
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...