Abstract: A video collection system collects and sends metadata related to video data such that recording may be triggered and tagged. The video collection system utilizes a mobile broadband network (such as a cellular network) to send metadata, receive triggers, and perform other functions while the video collection system is in the field. The video collection system broadly comprises a plurality of video cameras and a video collection manager. The video cameras each include a mobile broadband modem or other wireless communication element for sending metadata messages. In some embodiments the mobile broadband modem may also send still images, audio data, and video data.

Abstract: A system and computer-implemented method of continuously updating information about one or more of a customer approved for a mortgage and a real estate property identified as mortgage ready. The method includes monitoring information accessed from a memory storage location corresponding to a customer identification number, the information used to determine the customer is approved for a mortgage, and receiving new information about the customer, the new information used to determine the customer is approved for a mortgage. The method also includes updating, at a memory coupled to the one or more processors, the memory storage location to include the new information. The method still further includes recalculating the amount in which the customer is approved for a mortgage based upon the new information received.

Abstract: Systems and methods are described for generating an image-based prediction model, where a computing device may obtain a set of 3D images from a 3D image data source. Each of the 3D images can have 3D point cloud data and a Distification technique can be applied to the 3D point cloud data of each 3D image to generate output feature vector(s). The output feature vector(s) may then be used to train and generate the image-based prediction model.

Abstract: A method of detecting whether electronic fraud alerts are false positives includes receiving data detailing a financial transaction, inputting the data into a rules-based engine that determines whether to generate an electronic fraud alert for the financial transaction based upon the data, and, when an electronic fraud alert is generated, inputting the data into a machine learning program trained to identify one or more facts indicated by the data. The method may also include determining whether the identified facts can be verified by customer data and, in response to determining that the facts can be verified, retrieving or receiving first customer data. The method may further include verifying that the electronic fraud alert is not a false positive based upon analysis of the first customer data, and transmitting the verified electronic fraud alert to a mobile device of the customer to alert the customer to fraudulent activity.

Abstract: Systems and methods for controlling the motion of an autonomous are provided. In one example embodiment, a computer implemented method includes obtaining, by one or more computing devices on-board an autonomous vehicle, data associated with one or more objects that are proximate to the autonomous vehicle. The data includes a predicted path of each respective object. The method includes identifying at least one object as an object of interest based at least in part on the data associated with the object of interest. The method includes generating cost data associated with the object of interest. The method includes determining a motion plan for the autonomous vehicle based at least in part on the cost data associated with the object of interest. The method includes providing data indicative of the motion plan to one or more vehicle control systems to implement the motion plan for the autonomous vehicle.

Abstract: A method of identifying a merchant computer terminal warranting a chargeback includes identifying a merchant computer terminal associated with a fraudulent financial transaction, and receiving information associated with the merchant computer terminal. The information may include an actual configuration, parameters, and/or specifications associated with the merchant computer terminal. The method also includes receiving up-to-date dispute rules associated with chargebacks, and analyzing the dispute rules to determine merchant computer terminal requirements. The method further includes comparing the terminal requirements with the information associated with the merchant computer terminal to identify whether the merchant computer terminal is compliant with the dispute rules.

Abstract: A heuristic engine includes capabilities to collect an unstructured data set, such as a agent sales transaction record, and generate an agent training suggestion for subsequent action. Providing the heuristic engine with relevant data sets and a current context may allow determination of predicted future customer contexts and subsequent actions. The heuristic engine may learn from past data transactions and appropriate correlations with events and available data.

Abstract: A video collection system collects and sends metadata related to video data such that recording may be triggered and tagged. The video collection system utilizes a mobile broadband network (such as a cellular network) to send metadata, receive triggers, and perform other functions while the video collection system is in the field. The video collection system broadly comprises a plurality of video cameras and a video collection manager. The video cameras each include a mobile broadband modem or other wireless communication element for sending metadata messages. In some embodiments the mobile broadband modem may also send still images, audio data, and video data.

Abstract: Apparatus is provided to cushion between a prosthetic socket and an amputee's residual limb. A plurality of putty-filled packets are assembled into a liner that, when assembled, provides a generally smooth contact surface toward the residual limb. At least one of the packets has a fluid bladder positioned between the putty material and the socket, and the fluid volume in the bladder can be adjusted to affect the fit of the assembly on the residual limb. Methods of fabrication, fitting, and use of such prosthetic devices are disclosed.

Abstract: In a computer-implemented method of pre-empting fraud disputes caused by billing aliases or unrecognized merchant billing names, an indication that a credit card financial transaction is unrecognizable by the card owner may be received. A billing alias for a merchant associated with the unrecognizable transaction may be determined, where the billing alias is named on a credit card statement as billing merchant. A brick and mortar name that the merchant associated with the billing alias is doing business as may be determined, and an electronic notification indicating the brick and mortar name of the merchant may be generated. The electronic notification may be transmitted to a mobile device of the card owner over a wireless communication channel for card owner review or approval to facilitate preventing financial disputes caused by unrecognized or unfamiliar billing aliases on credit card or other financial statements.

Abstract: A prosthetic lower leg uses one or more generally C-shaped spring elements between the patient's socket and a footplate assembly. The respective connections between (a) those one or more elements and (b) that socket and that footplate can be configured to provide a lightweight and economic prosthesis that effectively mimics the feel and performance of a normal human foot. The prosthetic spring element is generally C-shaped, and can have a substantially constant thickness along its length, lending itself to being fabricated by automated processes such as filament winding. One or more of the generally C-shaped spring elements can be incorporated into other prostheses and/or other devices.

Abstract: A system and computer-implemented method of identifying multiple mortgage ready properties using computer technology and/or machine learning algorithms or artificial intelligence. The method includes receiving, via one or more processors, information from a customer approved for a mortgage about preferences for a real estate property and accessing, at a memory coupled to one or more processors, a computer file and/or memory location/address to retrieve a plurality of mortgage ready real estate properties meeting one or more of the customer preferences information. The method further includes transmitting, via the one or more processors, the plurality of real estate properties meeting one or more of the customer preferences information to the customer.

Abstract: A method of identifying a merchant computer terminal warranting a chargeback includes identifying a merchant computer terminal associated with a fraudulent financial transaction, and receiving information associated with the merchant computer terminal. The information may include an actual configuration, parameters, and/or specifications associated with the merchant computer terminal. The method also includes receiving up-to-date dispute rules associated with chargebacks, and analyzing the dispute rules to determine merchant computer terminal requirements. The method further includes comparing the terminal requirements with the information associated with the merchant computer terminal to identify whether the merchant computer terminal is compliant with the dispute rules.

Abstract: A video collection system comprising a body-wearable video camera, a camera dock, and a video collection manager. The camera dock is configured to interface with the body-wearable video camera having a camera-memory element. The camera dock includes a dock-memory element configured to receive and store video data from the camera-memory element. The video collection manager is communicatively coupled with the camera dock. The camera dock sends at least a portion of the video data to the video collection manager.

Abstract: An electroshock system wirelessly delivers a shock to a subject. The electroshock system may include a launcher, a wireless projectile, a power source, and a wireless power transmitter. The launcher is configured to be grasped by a user. The wireless projectile is configured to detach from the launcher and adhere to a subject. The power source contributes power for the administration of a shock to the subject. The wireless power transmitter delivers said contributed power to the wireless projectile while the wireless projectile is detached from the launcher. The power source and the wireless transmitter may be co-located with the launcher, or may be separate (such as secured to a person or within a vehicle).

Abstract: A heuristic engine includes capabilities to collect an unstructured data set and a current business context. Providing a heuristic algorithm, executing within the engine, with the data set and the context may allow determination of predicted future contexts and subsequent actions that refine and improve the quality of service provided to a customer. Such heuristic algorithms may learn from past data transactions and appropriate correlations with events and available data.

Abstract: In a computer-implemented method of facilitating detection of document-related fraud, fraudulent document detection rules may be generated or updated by training a machine learning program using image data corresponding to physical documents, and fraud determinations corresponding to the documents. The documents and fraudulent document detection rules may correspond to a first type of document. Image data corresponding to an image of one of the physical documents may be received, where the physical document corresponds to the first type of document. By applying the fraudulent document detection rules to the image data, it may be determined that the physical document is, or may be, fraudulent. An indication of whether the physical document is, or may be, fraudulent may be displayed to one or more people via one or more respective computing device user interfaces.

Abstract: A system and computer-implemented method for approving a dynamic mortgage application. In one aspect, the method may include determining a customer is approved for a mortgage and determining a real estate property is mortgage ready, including calculating an appraisal value for the real estate property based upon the information about the real property retrieved from a computer file or memory location/address (such as by using a machine learning or artificial intelligence algorithm). The method may still further include comparing the calculated amount the customer is approved for a mortgage loan with the calculated appraisal value of the real estate property; and approving the mortgage application of the customer for the real estate property when the calculated amount the customer is approved for the mortgage loan meets, or exceeds, the calculated appraisal value of the real estate property.

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 computer-implemented method of continuously updating information about a customer approved for a mortgage, the customer associated with a customer identification number. In one aspect, the method may include monitoring information accessed from a blockchain corresponding to the customer identification number, the information used to determine the customer is approved for a mortgage. In addition, the method may further include receiving new information about the customer, the new information used to determine the customer is approved for a mortgage. Further, the method may include updating a block of the blockchain to include the new information and recalculating the amount in which the customer is approved for a mortgage based upon the new information received.