A first device may receive, from a second device, a request to approve a transaction wherein the request includes transaction data related to the transaction and an image of a signature of an individual that submitted the request. The first device may determine, after receiving the request, a priority level associated with the transaction based on the transaction data. The first device may process the image of the signature using a computer vision technique and/or a vector-based technique. The first device may select, from a memory storing a plurality of comparator signatures, a comparator signature for the signature based on the priority level. The first device may use the comparator signature to verify the signature to approve or deny the transaction. The first device may perform a comparison of the comparator signature and the signature in the image after processing the image and selecting the comparator signature.

Systems and methods of executing a real-time electronic transaction by a real-time transaction system are disclosed. One method includes receiving, by an application programing interface (API) system, an electronic transaction request from a user. The API system may transmit the electronic transaction request to a choreographer system. The choreographer system may transmit a validation API call based on the electronic transaction request to an account system. The account system may determine whether an account associated with the electronic transaction request exists in the real-time transaction system. The choreographer system may transmit an authorization API call based on the electronic transaction request to an authorization system. The choreographer system may receive an authorization response from the authorization system. The choreographer system may transmit an electronic transaction request message to at least one of a routing engine, an account ledger system, an audit system, and/or a transaction system.

Example embodiments of systems, methods, and computer-accessible mediums for identity verification and transaction authentication are provided. An exemplary system can comprise an application, a user device, and a server. The application can prompt a removal of a card chip, prompt an insertion of the card chip into the user device, determine an orientation of the card chip after the insertion of the card chip into the user device, and transmit, to the card chip, a first message. The card chip can encrypt the first message via one or more authentication protocols to generate an encrypted first message, transmit, to the server, the encrypted first message. The server can decrypt the encrypted first message, verify the decrypted first message, and transmit a second message to the application, wherein the application is configured to display a verification notification in response to the second message.

A system includes a location identifier device configured to receive location information from a user device; a surveillance device configured to capture video surveillance; and a computer system. The computer system is configured to: receive the location information; receive a request for an ATM transaction that includes attribute information associated with the user; obtain, from the received video surveillance, captured attribute information associated with the user; determine that the captured attribute information at least partially matches the received attribute information; transmit a transaction code to the user device based on (i) the location information from the user device being within the area, (ii) the captured attribute information at least partially matching the attribute information, and (iii) the identification of the user associated with the request; and facilitate the ATM transaction based at least partially on the received transaction code.

Systems and methods are provided to process payments for subscribership within a membership platform. Exemplary implementations may: obtain benefit information for content creators of a membership platform; obtain payment processor information characterizing payment processing entities; obtain transaction information characterizing requested transactions between the content creators and the subscribers; determine which of the payment processing entities should process the requested transactions; execute the requested transactions using the payment processing entities; and/or perform other operations.

Described herein are systems and methods for applying machine learning to telematics data to generate a unique driver fingerprint for an individual 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 driver fingerprint for the individual, the driver 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 driver fingerprint.

An example apparatus includes a blockchain data circuit that interprets a blockchain description value, a blockchain index circuit that provides a blockchain index data structure in response to the blockchain description value, the blockchain index data structure including a number of attribute values for each of a number of entities associated with the blockchain description value, and a blockchain search circuit that exercises a user interface. The user interface allows for interpreting a user search value, and the blockchain search circuit provides a search description to the user interface in response to the user search value and the blockchain index data structure.

An example apparatus includes a blockchain monitoring circuit structured to interpret a blockchain index data structure comprising a plurality of attribute values for each of a plurality of assets associated with a blockchain. An apparatus includes a blockchain asset ranking circuit structured to determine an asset rank value for each asset of the plurality of assets and includes a blockchain transaction assistant circuit structured to, in response to the asset rank value for each asset, perform at least one operation selected from: provide an asset ranking communication to a user interface for transactions associated with the blockchain; or store the asset rank value for each asset of the plurality of assets on the blockchain index data structure.

An example apparatus includes an account information circuit structured to interpret first identifying information for a first blockchain account and second identifying information for a second blockchain account, the first identifying information including a trust rating value, and the second identifying information including a transaction confirmation value corresponding to a transaction between the first blockchain account and the second blockchain account. An apparatus includes a trust value adjustment circuit structured to interpret a transaction rating value from a user associated with the second blockchain account, and to adjust the trust rating value in response to the transaction rating value and the transaction confirmation value. An apparatus includes an account trust matching execution circuit structured to perform an account trust operation in response to the adjusted trust rating value.

Methods, apparatuses, and computer program products are disclosed for currency control. An example computer-implemented method includes receiving physical currency data associated with one or more physical currency notes and generating digital currency data based upon the physical currency data. The digital currency data includes a digital representation of the physical currency notes. The computer-implemented method further includes determining one or more selected physical currency notes for destruction based upon the digital currency data and may include querying a currency attribute database that includes one or more currency attributes associated with the physical currency notes. The computer-implemented method also includes causing destruction of the selected physical currency notes. In response to causing destruction of the selected physical currency notes, the computer-implemented method includes modifying the currency attribute database.