YodoFace a multi-factor authentication based on 3D face typing for secure payments.
A crowd sourced project for an open sourced product protecting & preserving personal privacy.
Yodo Face is a project initiated by Yodo to foster industry collaboration in promoting the use of innovative and visionary bio-metric based authentication tokens for mobile and internet commerce. The processing power of today's mobile digital devices when combined with advanced digital signal processing and advanced optical sensors allows for the creation of highly secure one-time-use identity tokens for all types of digital exchange.
Collaborate to perfect deeply ingrained standardized multi-factor authentication based on 3D face types allowing individuals to be positively authenticated while remaining anonymous. Facial recognition is considered the least intrusive bio-metric identifier. Using face contours captured in less than a second, the authentication product we develop is not a facial recognition product. We will capture only a minimal sub-set of data to create a reliable identity token thus protecting an individual's privacy. Three dimensional vision systems will be used to quickly and simultaneously extract both a face contour and a QR code containing both the face type and the payment credential to authenticate mobile payors . Render the face-typing ineffective in this two-part authentication process by concealing or not presenting the QR code. Authentication should be voluntary and for verification only never for surveillance. Authentication with anonymity
We all need better, more secure and more convenient methods of authenticating ourselves in order for digital commerce to expand and grow. Share your expertise and your resources freely, to create a more trusted more prosperous world, while preserving personal privacy.
Yodo supports the concept of Self Soverign Identity (SSI) for an individual's biometric tokens. Visit the Sovrin website or view the video below. https://sovrin.org/
Collaborate to perfect deeply ingrained standardized multi-factor authentication based on 3D face types allowing individuals to be positively authenticated while remaining anonymous. Facial recognition is considered the least intrusive bio-metric identifier. Using face contours captured in less than a second, the authentication product we develop is not a facial recognition product. We will capture only a minimal sub-set of data to create a reliable identity token thus protecting an individual's privacy. Three dimensional vision systems will be used to quickly and simultaneously extract both a face contour and a QR code containing both the face type and the payment credential to authenticate mobile payors . Render the face-typing ineffective in this two-part authentication process by concealing or not presenting the QR code. Authentication should be voluntary and for verification only never for surveillance. Authentication with anonymity
We all need better, more secure and more convenient methods of authenticating ourselves in order for digital commerce to expand and grow. Share your expertise and your resources freely, to create a more trusted more prosperous world, while preserving personal privacy.
Yodo supports the concept of Self Soverign Identity (SSI) for an individual's biometric tokens. Visit the Sovrin website or view the video below. https://sovrin.org/
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