YodoPay the core technology driving our Services.
YodoPay the mobile payment and money transfer product is owned and controlled by Ayodo Foundation. In order to be legally compliant this pre-paid and cash based product is balance and velocity limited. Individual users may not carry a balance greater than $1,000 and mobile user accounts may not transact more than $1,000 in any 24 hour peirod. See the product websites YODOPAY or YODOPOS to discover how to benefit from Yodo's open API or to registered as a merchant and begin accepting YodoPay in your shop or store.
YodoFace a multi-factor authentication based on 3D face typing for secure payments.
Another crowd sourced project for an open sourced product.
YodoFace a project originally initiated by Ayodo Foundation to foster industry collaboration in promoting the use of innovative and visionary bio-metric based authentication tokens for mobile and internet commerce. Ayodo subscribes to Self Soverign Identity SSI and believes an individuals identity data is owned and should be controlled by the individual. The processing power of today's mobile digital devices when combined with advanced digital signal processing, advanced optical sensors and Neural Networks allows for the creation of highly secure one-time-use identity tokens for all types of digital exchange. Inadequate identity continues to be an inpediment to financial inclusion. We all have faces, so lets create a more trusted more prosperous world by creating a open sourced face verification products for everyone's use. We all need better, more secure and more convenient methods of authenticating ourselves in order for digital commerce to expand and grow.
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.