Systems and methods for verifying individuals prior to distribution of one or more benefits are disclosed. One example method includes receiving, at an interface peripheral of a payment card device, a biometric from an individual associated with the device and comparing the received biometric to a biometric reference stored in a memory of the device. The method also includes, in response to the received biometric matching the biometric reference, setting a biometric status in the memory of the device for an expiration interval and enabling the device for transactions to be funded by an account linked to the device, based on the biometric status being set. The method then includes, in response to expiration of the expiration interval, resetting the biometric status in the device and disabling the device for transactions to be funded by the account, based on the biometric status not being set.

Systems, methods, devices and non-transitory, computer-readable storage mediums are disclosed for a wearable multimedia device and cloud computing platform with an application ecosystem for processing multimedia data captured by the wearable multimedia device. In an embodiment, a method comprises: receiving, by one or more processors of a cloud computing platform, context data from a wearable multimedia device, the wearable multimedia device including at least one data capture device for capturing the context data; creating a data processing pipeline with one or more applications based on one or more characteristics of the context data and a user request; processing the context data through the data processing pipeline; and sending output of the data processing pipeline to the wearable multimedia device or other device for presentation of the output.

Various examples are directed to systems and methods for authentication transactions. A mobile computing device may send to a financial institution system, an access request message. The mobile computing device may receive from a second server system, a transaction request message requesting authorization for a transaction on an account associated with the mobile computing device, the transaction request including a transaction amount. The mobile computing device may prompt a user of the mobile computing device to authorize the transaction. The mobile computing device may receive, from the financial institution system, summary data describing the transaction amount.

Biometric features are derived from security data associated with a subject. The security data is obtained from a security device. A biometric value is calculated from the biometric features. The biometric value is anonymized to an identifier associated with the subject. The identifier is integrated with event data associated with a security system. In an embodiment, the security device is a Personal Identification Number (PIN) pad integrated into a transaction terminal, the security data is fingerprint data, which is read from a finger of the subject placed on a fingerprint reader integrated into the PIN pad, and the biometric value is a PIN calculated from fingerprint data during a transaction at the transaction terminal. In an embodiment, the security device is a security camera, the security data is a secure video stream, and the biometric features are facial features of the subject in the secure video stream.

A station device in a biometric pre-identification system uses identity to perform one or more actions. Identities are determined (such as via a backend) using biometric information. A biometric pre-identification device obtains biometric information and/or a digital representation thereof from a person approaching the station device. The biometric pre-identification device transmits such to the station device, facilitating the station to begin and/or perform various actions. The station device begins or performs the actions using the identity determined based on the biometric information before the person arrives at the station device.

A method of initiating a transaction in a blockchain system includes receiving, by a processing device, biometric data associated with a first party of a transaction to be added to a block of a blockchain system. The method further includes providing the biometric data to a validation node of the blockchain system. The method further includes determining that the biometric data has been validated by the validation node. The method further includes, in response to determining that the biometric data has been validated, recording, by the processing device, the biometric data in the block of the blockchain system.

Systems and methods of authenticating voice data using a ledger (blockchain). Examples include a scalable and seamless system that uses blockchain technologies to distribute trust of a conversation, authenticate persons in a conversation, track their characteristics and also to keep records of conversations. In some examples, smart phones, wearables, and Internet-of-Things (IoT) devices can be used to record and track conversations between individuals. These devices can each be used to create entries for the blockchain or a single device could be used to keep track of the entirety of the conversation. Fuzzy hashing may be used to compare newly created entries with previous entries on the ledger.

An ATM equipped with forensic card reader identification validation is provided. The ATM may include a real ID card slot. The real ID card slot may accept real ID cards. The ATM may include a call communications module. The call communications module may communicate with a third-party network. Upon insertion of a real ID card at the ATM, the ATM may retrieve security details from the real ID card. The ATM may transmit the security details to the third-party network via the call communications module. The third-party network may verify the security details with one or more databases which are accessible by the third-party network. Upon failure to verify the security details, the third-party network may transmit a failed verification response to the ATM.

Disclosed are various embodiments for verifying a consumer's identity during card-not-present (CNP) transactions using biometric data (e.g., fingerprint, retina scan, iris scan, handprint, voice sample, face scan, etc.) of the consumer obtained using a biometric security device. A zero-knowledge proof algorithm is used to verify the identity of a user initiating a transaction without disclosing personal information (e.g., biometric data) of the user to the issuer, merchant, recipient and/or other party, thereby preserving the privacy of the user.

Described herein are systems and methods for applying machine learning to telematics data to generate a unique vehicle fingerprint by periodically receiving telematics data generated at a plurality of sensors of a vehicle; standardizing the telematics data; aggregating the standardized telematics data; applying a trained machine learning model to embed the aggregated telematics data into a low-dimensional state; and generating a unique vehicle fingerprint, the vehicle fingerprint comprising a static component, a dynamic component, or both a static component and a dynamic component; including iterative repetition to update the dynamic component of the vehicle fingerprint.