Abstract: Disclosed herein are methods and systems for automatically validating evidence of traffic violations. One instance of a method comprises receiving an evidence package comprising video frames showing a vehicle involved in a potential traffic violation. The video frames can be input into one or more deep learning models to obtain a plurality of classification results. The method can further comprise generating a score based in part on the classification results and evaluating the score against one or more thresholds to determine whether the evidence package is automatically approved, is automatically rejected, or requires further review.

Abstract: In an aspect a computer-implemented method is described. The method may include: causing a point-of-sale terminal processing a transaction to display a machine-readable code, the machine-readable code encoding a web address; receiving a request from a device that scanned the machine-readable code, the request received at the web address and the request including data; determining, based on data encoded in the machine-readable code and data included in the request, that the transaction may be processed using a value-added service; and in response to determining that the transaction may be processed using the value-added service, enabling completion of the transaction using the value-added service.

Abstract: In an aspect a computer-implemented method is described. The method may include: causing a point-of-sale terminal processing a transaction to display a machine-readable code, the machine-readable code encoding a web address; receiving a request from a device that scanned the machine-readable code, the request received at the web address and the request including data; determining, based on data encoded in the machine-readable code and data included in the request, that the transaction may be processed using a value-added service; and in response to determining that the transaction may be processed using the value-added service, enabling completion of the transaction using the value-added service.

Abstract: Disclosed herein are methods and systems for automatically validating evidence of traffic violations. One instance of a method comprises receiving an evidence package comprising video frames showing a vehicle involved in a potential traffic violation. The video frames can be input into one or more deep learning models to obtain a plurality of classification results. The method can further comprise generating a score based in part on the classification results and evaluating the score against one or more thresholds to determine whether the evidence package is automatically approved, is automatically rejected, or requires further review.

Abstract: A method may include: causing a point-of-sale terminal processing a transaction to display a machine-readable code, the machine-readable code encoding a web address; receiving a request from a device that scanned the machine-readable code, the request received at the web address; in response to receiving the request, causing the device that scanned the machine-readable code to output an interface; receiving, through the interface, an input of an indication to separate the transaction into multiple transaction parts and one or more parameters indicating how the transaction is to be separated; and sending, to the point-of-sale terminal, a message that configures the point-of-sale terminal to separate the transaction in accordance with the one or more parameters.

Abstract: In some implementations, a method of providing contactless payments at a point of sale terminal includes: causing a point-of-sale terminal processing a transaction to display a machine-readable code, the machine-readable code encoding a web address; receiving a request from a device that scanned the machine-readable code, the request received at the web address; in response to receiving the request, causing the device that scanned the machine-readable code to output an interface that includes a prompt for input required to complete the transaction; receiving a response to the prompt; and sending an indication of the response to the prompt to the point-of-sale terminal to allow for completion of the transaction based on the response at the point-of-sale terminal through use of a physical token at the point-of-sale terminal.

Abstract: A method may include: causing a point-of-sale terminal processing a transaction to display a machine-readable code, the machine-readable code encoding a web address; receiving a request from a device that scanned the machine-readable code, the request received at the web address; in response to receiving the request, causing the device that scanned the machine-readable code to output an interface; receiving, through the interface, an input of an indication to separate the transaction into multiple transaction parts and one or more parameters indicating how the transaction is to be separated; and sending, to the point-of-sale terminal, a message that configures the point-of-sale terminal to separate the transaction in accordance with the one or more parameters.

Abstract: In some implementations, a method of providing contactless payments at a point of sale terminal includes: causing a point-of-sale terminal processing a transaction to display a machine-readable code, the machine-readable code encoding a web address; receiving a request from a device that scanned the machine-readable code, the request received at the web address; in response to receiving the request, causing the device that scanned the machine-readable code to output an interface that includes a prompt for input required to complete the transaction; receiving a response to the prompt; and sending an indication of the response to the prompt to the point-of-sale terminal to allow for completion of the transaction based on the response at the point-of-sale terminal through use of a physical token at the point-of-sale terminal.

Abstract: A method for driver identification including recording a first image of a vehicle driver; extracting a set of values for a set of facial features of the vehicle driver from the first image; determining a filtering parameter; selecting a cluster of driver identifiers from a set of clusters, based on the filtering parameter; computing a probability that the set of values is associated with each driver identifier of the cluster; determining, at the vehicle sensor system, driving characterization data for the driving session; and in response to the computed probability exceeding a first threshold probability: determining that the new set of values corresponds to one driver identifier within the selected cluster, and associating the driving characterization data with the one driver identifier.

Abstract: A data set integration system receives a first data set that includes a user identifier and a message type code. The integration system locates an object profile that is associated with the terminal identifier in a data repository. The located object profile includes a tracking identifier and a counter value. The integration system updates the counter value in the object profile in accordance with a value of the message type code. The integration system updates receives a second data set from a communications device. The second data set includes the tracking identifier. The integration system locates the counter value in the object profile that is associated with the tracking identifier, and transmits to the communications device a data payload that includes the updated counter value.

Abstract: A session data processing network includes a POS terminal and at least one computer server. The POS terminal is configured to establish a secure communications session with a communications appliance, receive session data from the communications appliance via the communications session, extract a ledger identifier and a token from the session data, transmit an authorization request message and a rewards request message to the server. The authorization request message includes the ledger identifier and an authorization value. The rewards request message includes the token and requests a reward of loyalty points to a secondary ledger associated with the token. The server is configured to receive the authorization request message and the loyalty rewards request message, confirm authorization of a transaction in an amount equal to the authorization value from an account associated with the ledger identifier, and transmit to the POS terminal an authorization response message confirming the authorization.

Abstract: A network gateway includes a network interface and a computer processing unit. The network interface is configured to interface the network gateway with a first computer network. The computer processing unit is in communication with the network interface and is configured to receive from a network device, via the first computer network, a payload request that includes a first credential. The network device is configured to receive the first credential from a hardware token that is interfaced with the network device. The computer processing unit is configured to verify that, before the network device received the first credential from the hardware token, the first credential was associated with the network device in a database. The computer processing unit is configured to download a payload to the network device via the first computer network, after the verification.

Abstract: A method may include: causing a point-of-sale terminal processing a transaction to display a machine-readable code, the machine-readable code encoding a web address; receiving a request from a device that scanned the machine-readable code, the request received at the web address; in response to receiving the request, causing the device that scanned the machine-readable code to output an interface; receiving, through the interface, an input of an indication to separate the transaction into multiple transaction parts and one or more parameters indicating how the transaction is to be separated; and sending, to the point-of-sale terminal, a message that configures the point-of-sale terminal to separate the transaction in accordance with the one or more parameters.

Abstract: In an aspect a computer implemented method includes: obtaining apportionment data for a transfer, the apportionment data defining a plurality of parts of the transfer; and processing the transfer in accordance with the apportionment data, by: processing a pre-authorization for a total amount of the transfer using a first token; after processing the pre-authorization for the total amount of the transfer using the first token, processing one or more of the parts using associated tokens; and completing the transfer by processing a completion of the pre-authorization for an outstanding portion of the transfer, the outstanding portion of the transfer determined by adjusting the total amount of the transfer to account for any processed parts.

Abstract: In an aspect a computer-implemented method is described. The method may include: causing a point-of-sale terminal processing a transaction to display a machine-readable code, the machine-readable code encoding a web address; receiving a request from a device that scanned the machine-readable code, the request received at the web address and the request including data; determining, based on data encoded in the machine-readable code and data included in the request, that the transaction may be processed using a value-added service; and in response to determining that the transaction may be processed using the value-added service, enabling completion of the transaction using the value-added service.

Abstract: A method for determining event data including: sampling a first data stream within a first time window at a first sensor of an onboard vehicle system coupled to a vehicle, extracting interior activity data from the first data stream; determining an interior event based on the interior activity data; sampling a second data stream within a second time window at a second sensor of the onboard vehicle system; extracting exterior activity data from the second image stream; determining an exterior event based on the exterior activity data; correlating the exterior event and the interior event to generate combined event data; automatically classifying the combined event data to generate an event label; and automatically labeling the first time window of the first data stream and the second time window of the second data stream with the combined event label to generate labeled event data.

Abstract: An EMV-session data network includes a POS terminal and at least one computer server. The POS terminal is configured to receive ledger data and a cryptogram from a communications appliance, extract an account identifier from the ledger data, and transmit to the server an authorization request message that includes the account identifier, the authorization value and the cryptogram. The server is configured to transmit to the POS terminal an authorization response message that confirms that the cryptogram was generated by the communications appliance from the account identifier and the authorization value. The POS terminal is further configured to extract a token from the ledger data and to transmit to the server a loyalty rewards request message that includes the token. The server is further configured to initiate a points reward to an account that is associated with the token.

Abstract: A network gateway includes a gateway authenticator, a first network interface for interfacing the network gateway with a first computer network, and a second network interface for interfacing the network gateway with a second computer network that is distinct from the first computer network. The gateway authenticator receives from a pin-pad terminal, via the first computer network, an activation credential request that includes a first administrator credential. The pin-pad terminal receives the first administrator credential from a hardware token that is interfaced with the pin-pad terminal.

Abstract: A computer server includes a processor that is configured to receive an incoming authorization request that includes an original numeric value and an identification number, and locate a profile that is associated with the identification number. The located profile includes at least one adjustment criterion. The processor is configured to determine a primary numeric value and a secondary numeric value from the original numeric value and the adjustment criterion, confirm that the secondary numeric value is not greater than a balance value in a loyalty points account associated with the identification number, and reduce the balance value in the loyalty points account by the secondary numeric value. The processor is configured to, after confirming the secondary numeric value, generate a revised authorization request and transmit the revised authorization request to an authorization server. The revised authorization request includes the identification number and the primary numeric value.

Abstract: In some implementations, a method of providing contactless payments at a point of sale terminal includes: causing a point-of-sale terminal processing a transaction to display a machine-readable code, the machine-readable code encoding a web address; receiving a request from a device that scanned the machine-readable code, the request received at the web address; in response to receiving the request, causing the device that scanned the machine-readable code to output an interface that includes a prompt for input required to complete the transaction; receiving a response to the prompt; and sending an indication of the response to the prompt to the point-of-sale terminal to allow for completion of the transaction based on the response at the point-of-sale terminal through use of a physical token at the point-of-sale terminal.