Abstract: Methods and systems for managing and/or processing a blockchain to maintain data security for confidential and/or personal data are provided. According to certain aspects, the disclosed data security techniques may enable access sharing functionality utilizing the blockchain. For example, access sharing may be utilized to file documents, share policy information, and/or comply with an audit. The data security techniques disclosed herein also enable the use of smart contracts to transfer funds associated with payment obligations and/or other forms of blockchain based payments, comply with anti-money laundering requirements, report industry data, validate interest payments and/or maintain agent sales data. Data security may be achieved through the use of public key/private key encryption techniques.

Abstract: Systems and methods for transferring autonomous driving preferences between vehicles are provided. For example, a vehicle operator may borrow a friend's or spouse's vehicle, or may rent a vehicle, and may wish to transfer his or her autonomous driving preferences to the vehicle he or she is currently operating. An autonomous driving preference associated with an operator of a first vehicle is obtained. The autonomous driving preference includes vehicle controls that the operator prefers to be operated autonomously, semi-autonomously, and/or manually. When the operator of the first vehicle is to operate a second vehicle or is currently operating a second vehicle, an indication of the autonomous driving preference associated with the operator is transmitted to the second vehicle, and the vehicle controls associated with the second vehicle are modified based on the autonomous driving preference associated with the operator.

Abstract: An incident management system for managing an incident response may be provided. The incident management system may include an incident management (IM) computing device and a vehicle. The IM computing device may include a processor and memory, the processor may be programmed to receive a notification that an incident has occurred, the notification including sensor data and sub-system data. The processor may analyze the data to determine an incident response, the determination including categorizing the incident based on damage determined from the data. The processor may also identify a responding party based on the incident response and the category of the incident. The processor may further parse the data to generate a set of critical data. The critical data may be based on the responding party. The processor may transmit a message to the responding party including the critical data and the location of the vehicle.

Abstract: A heuristic money laundering detection engine includes capabilities to collect an unstructured data set, such as a transaction record, and detect indications of money laundering activity. By detecting money laundering activity and feeding back indications of money laundering transactions, the heuristic algorithm may continue to learn and improve detection accuracy. Such indications may include correlations to sets of transaction activity among a number of financial accounts and past indications of money laundering activity. Indications of money laundering may allow generation of audit reports for reporting to regulatory authorities.

Abstract: A method of reducing a future amount of electronic fraud alerts includes receiving data detailing a financial transaction, inputting the data into a rules-based engine that generates an electronic fraud alert, transmitting the alert to a mobile device of a customer, and receiving from the mobile device customer feedback indicating that the alert was a false positive or otherwise erroneous. The method also includes inputting the data detailing the financial transaction into a machine learning program trained to (i) determine a reason why the false positive was generated, and (ii) then modify the rules-based engine to account for the reason why the false positive was generated, and to no longer generate electronic fraud alerts based upon (a) fact patterns similar to fact patterns of the financial transaction, or (b) data similar to the data detailing the financial transaction, to facilitate reducing an amount of future false positive fraud alerts.

Abstract: A sump pump system may detect and utilize motion or acceleration of water in sump basins when implementing control of sump pumps. To detect the motion or acceleration, the sump pump system may utilize a sensor that is configured to detect motion or acceleration, such as an accelerometer or gyroscope. The sump pump system may identify a water level in a sump basin based on the detected motion or acceleration, which may be compared to a reading or expected signal from the sump pump system's “typical” sensor (e.g., float switch) that is used to detect one or more water levels. In this manner, the sump pump system may detect a malfunctioning level sensor that is used by the pump to detect high-water and low-water marks at which the sump pump activates and deactivates, respectively.

Abstract: A computer system for performing enhanced rules conflict checking is provided. The computer system includes at least one processor in communication with at least one memory device. The at least one processor is programmed to store a plurality of rules for transmitting to a plurality of destination systems and receive a data message for transmission to the plurality of destination systems. The data message is configured to be routed to each of the plurality of destination systems. The at least one processor is programmed to compare the data message to the plurality of rules to validate the data message and if the data message is validated, instruct the requesting system to transmit the data message to the plurality of destination systems.

Abstract: A catastrophe analysis computing system includes a processor; an electronic network; and a memory having stored thereon non-transitory computer-executable instructions that, when executed by the processor, cause the system to: cause a client device to receive a exposure map layer; cause a filter graphical user interface and wind speed layers to be displayed in a graphical user interface; receive an input; and update the map graphical user interface. In another aspect, a method includes causing a client device to receive an exposure map layer; causing a filter graphical user interface and wind speed layers to be displayed in a graphical user interface; receiving an input; and updating the map graphical user interface. A method includes receiving an exposure map; displaying a filter graphical user interface; receiving an input; and updating a map graphical user interface.

Abstract: Described herein are techniques to facilitate vehicular incident reenactment using three-dimensional (3D) representations. The techniques include presenting an image including 3D representations of one vehicle and one non-vehicular object related to a vehicular incident. The operations further include providing a message that requests manipulation of the 3D representations to reenact the vehicular incident. The operations further include receiving input and generating a 3D reenactment of the vehicular incident that includes the 3D representations of the at least one vehicle and at least one non-vehicular object.

Abstract: A computer-implemented method of using telematics data associated with an originating vehicle at a destination vehicle is provided. The method may include receiving telematics data associated with the originating vehicle by (1) a mobile device or (2) a smart vehicle controller associated with a driver or vehicle. The mobile device or smart vehicle controller may analyze the telematics data received to determine that (i) a travel event exists, or (ii) that a travel event message or warning is embedded within the telematics broadcast received. If the travel event exits, the method may include automatically taking a preventive or corrective action, at or via the mobile device or smart vehicle controller, which alleviates a negative impact of the travel event on the driver or vehicle to facilitate safer or more efficient vehicle travel. Insurance discounts may be provided to insureds based upon their usage of the risk mitigation or prevention functionality.

Abstract: A heuristic engine includes capabilities to collect an unstructured data set and detect instances of transaction fraud in a financial account. By providing a heuristic algorithm with unstructured transaction sets and indications of particular instances of transactions that correlate with past fraudulent activity allows prevention of future occurrences of fraud. Such heuristic algorithms may learn from past indications of fraudulent activity and improve accuracy of detection of future fraud detections.

Abstract: A remotely-controlled (RC) and/or autonomously operated inspection device, such as a ground vehicle or drone, may capture one or more sets of imaging data indicative of at least a portion of an automotive vehicle, such as all or a portion of the undercarriage. The one or more sets of imaging data may be analyzed based upon data indicative of at least one of vehicle damage or a vehicle defect being shown in the one or more sets of imaging data. Based upon the analyzing of the one or more sets of imaging data, damage to the vehicle or a defect of the vehicle may be identified. The identified damage or defect may be compared to a claimed damage or defect to determine whether the claimed damage or defect occurred.

Abstract: A computer-implemented method is provided for a mobile device to detect, by a camera of the mobile device, a plurality of checks; determine, by a processing unit of the mobile device, that the image of the plurality of checks is of sufficient quality; instruct, by a display of the mobile device, a user to take a photograph of the plurality of checks; crop, by the processing unit, the photograph of the plurality of checks into a plurality of images, wherein each of the plurality of images contains one of the plurality of checks; and transmit, by a transmitter of the mobile device, the plurality of images to a server via a network. The plurality of images may be transmitted individually (i.e., one at time), or alternatively, collectively and in one payload.

Abstract: A system for authenticating the identity of a caller (i) receiving one or more online credentials of a caller initiating a phone call, where the one or more online credentials include one or more pieces of biometric information associated with the caller, and the one or more online credentials are received from a mobile device associated with the caller; (ii) requesting one or more additional online credentials associated with the mobile device; (iii) receiving the one or more additional online credentials; (iv) receiving telephone authentication information associated with the phone call; (v) authenticating the caller based, at least in part upon, the one or more online credentials, the one or more additional credentials, and the telephone authentication information; (vi) generating authentication status information based on the authentication of the caller; and (vii) transferring the authentication status information and the phone call to a call recipient.

Abstract: A server includes a processor and a memory storing instructions that, when executed by the processor, cause the server to receive two-dimensional (2D) images, analyze the images using a trained deep network to generate points, process the labeled points to identify tie points, and combine the 2D dimensional images into a three-dimensional (3D) point cloud using structure-from-motion. A method for generating a semantically-segmented 3D point cloud from 2D data includes receiving 2D images, analyzing the images using a trained deep network to generate labeled points, processing the points to identify tie points, and combining the 2D images into a 3D point cloud using structure-from-motion. A non-transitory computer readable storage medium stores executable instructions that, when executed by a processor, cause a computer to receive 2D images, analyze the images using a trained deep network to generate labeled points, process the points to identify and combine tie points using structure-from-motion.

Abstract: Techniques for initiating offers for insurance based upon medical diagnostic examinations may include, for each of a plurality of stored examination results: with a patient's or customer's affirmative consent or permission, (1) determining a health profile of a respective patient; (2) determining, based upon contents of the health profile, whether or not the patient is eligible for one or more offers of insurance; (3) providing the health profile of an eligible patient to one or more insurance providers; and/or (4) receiving one or more insurance offers that include binding quotes for insurance. Using the techniques disclosed herein, patients who have undergone medical examinations may be automatically selected and provided with insurance offers for which they have been pre-approved. The insurance offers may include binding quotes for insurance coverage. As a result, insurance or other cost savings may be provided to patients or other customers (e.g., parents of young patients).

Abstract: Methods and systems for obtaining vehicle recall notifications are described herein. A vehicle having one or more autonomous operation features may receive a notification indicating that the vehicle requires a safety recall. The notification may provide identification information for a vehicle part that needs to be replaced. Additionally, the vehicle may determine whether the vehicle part is currently within the vehicle by obtaining a set of identification information for current vehicle parts within the vehicle and comparing the identification information for the vehicle part to the set of identification information for current vehicle parts within the vehicle. In response to determining that the vehicle part is currently within the vehicle, the vehicle may identify a treatment facility for replacing the vehicle part, and cause the vehicle to travel to the identified treatment facility for replacing the vehicle part.

Abstract: A computer-implemented method for detecting vehicle crashes is presented. The method may include detecting, at a first mobile computing device a condition corresponding to a potential crash of a vehicle. The method may also include operating a beacon receive mode in response to detecting the potential crash condition, and receiving data from a second mobile computing device operating in a beacon transmit mode, the data indicating that the second mobile computing device detected an actual crash condition of the vehicle. The method may further include confirming, based on the potential crash condition and the data received from the second mobile computing device, that the potential crash is an actual crash.

Abstract: A customer relationship management (CRM) platform may use data objects to store data associated with a virtual meeting. The CRM platform may store information about a virtual meeting in a meeting object, and store information about meeting participants in participant objects linked to the meeting object. The CRM platform may also store meeting information, returned from a separate virtual meeting platform that will host the virtual meeting, in the meeting object and the participant objects. Accordingly, the CRM platform can use the meeting object and participant objects to display meeting information in a user interface, allow users to edit meeting details via the CRM platform, and/or allow users to join the virtual meeting via the CRM platform without separately logging in to the virtual meeting platform.

Abstract: An adaptive mapping (AM) computing device having at least one processor in communication with at least one memory device is provided. The AM computing device may be configured to retrieve a plurality of tasks associated with a user, and retrieve geographic mapping data. The AM computing device may also generate a route model based upon the retrieved plurality of tasks and the retrieved geographic mapping data. The AM computing device may execute the route model to determine an optimal route, and transmit, to the user, an optimized travel plan based upon the optimal route.