- Charlotte NC, US Charles R. Liu - San Francisco CA, US Dianna Letourneau O'Neill - Charlotte NC, US Matthew Edward Williams - Frisco TX, US Bryan Lee Card - Thousand Oaks CA, US
Assignee:
Bank of America Corporation - Charlotte NC
International Classification:
H04L 29/06 G06F 21/31
Abstract:
A multi-factored authentication system is provided to identify users. Accordingly, the authentication system may utilize a combination of multiple authentication methods to identify and authenticate a user, such as facial recognition, voice recognition, fingerprint/retinal recognition, detection of cards/chips or smartphones located with the user, PINs, passwords, cryptographic keys, tokens, and the like. The various authentication methods may be used to calculate a confidence value for the authentication system, where the confidence value reflects the degree of certainty of the user's identity. Each authentication method may, upon identifying a positive match for a user, increase the confidence value by a certain degree.
- Charlotte NC, US Charles R. Liu - San Francisco CA, US Dianna Letourneau O'Neill - Charlotte NC, US Matthew Edward Williams - Frisco TX, US Bryan Lee Card - Thousand Oaks CA, US
International Classification:
G06T 19/00 G06F 3/01 G06F 3/0484 G06T 7/70
Abstract:
A system, computer program product, and method for management of resources through an augmented resource facility is provided. In particular, a virtual center owned and operated by an entity may include a user-facing computing system. Said computing system may, through one or more cameras, sensors, and/or displays, provide an augmented or virtual reality experience to the user when the user interacts with the computing system to manage account resources.
System For Authentication Of A User Based On Multi-Factor Passively Acquired Data
- Charlotte NC, US Charles R. Liu - San Francisco CA, US Dianna Letourneau O'Neill - Charlotte NC, US Matthew Edward Williams - Frisco TX, US Bryan Lee Card - Thousand Oaks CA, US
International Classification:
H04L 29/06
Abstract:
A multi-factored authentication system is provided to identify users. Accordingly, the authentication system may utilize a combination of multiple authentication methods to identify and authenticate a user, such as facial recognition, voice recognition, fingerprint/retinal recognition, detection of cards/chips or smartphones located with the user, PINs, passwords, cryptographic keys, tokens, and the like. The various authentication methods may be used to calculate a confidence value for the authentication system, where the confidence value reflects the degree of certainty of the user's identity. Each authentication method may, upon identifying a positive match for a user, increase the confidence value by a certain degree.