Abstract:
The method and system may be used to control the movement of a remote aerial device in an incremental step manner during a close inspection of an object or other subject matter. At the inspection location, a control module “stabilizes” the remote aerial device in a maintained, consistent hover while maintaining a close distance to the desired object. The control module may retrieve proximal sensor data that indicates possible nearby obstructions to the remote aerial device and may transmit the data to a remote control client. The remote control module may determine and display the possible one or more non-obstructed directions that the remote aerial device is capable of moving by an incremental distance. In response to receiving a selection of one of the directions, the remote control module may transmit the selection to the remote aerial device to indicate the next movement for the remote aerial device.
Abstract:
A tethering system for a remote-controlled device includes a tether line having a first end adapted to be connected to a ground support and a second end adapted to be connected to the remote-controlled device. The system further includes an anchor-point disposed between the first and second ends of the tether line, the anchor point having an eyelet for securing the tether line and allowing the tether line to slide through the eyelet during use. The anchor-point and eyelet enable the tether line to flex or bend and the remote-controlled device to maneuver one or more of over or around the target area without interfering with any nearby obstructions.
Abstract:
The method and system may be used to control the movement of a remote aerial device in an incremental step manner during a close inspection of an object or other subject matter. At the inspection location, a control module “stabilizes” the remote aerial device in a maintained, consistent hover while maintaining a close distance to the desired object. The control module may retrieve proximal sensor data that indicates possible nearby obstructions to the remote aerial device and may transmit the data to a remote control client. The remote control module may determine and display the possible one or more non-obstructed directions that the remote aerial device is capable of moving by an incremental distance. In response to receiving a selection of one of the directions, the remote control module may transmit the selection to the remote aerial device to indicate the next movement for the remote aerial device.
Abstract:
The method and system may be used to control the movement of a remote aerial device in an incremental step manner during a close inspection of an object or other subject matter. At the inspection location, a control module “stabilizes” the remote aerial device in a maintained, consistent hover while maintaining a close distance to the desired object. The control module may retrieve proximal sensor data that indicates possible nearby obstructions to the remote aerial device and may transmit the data to a remote control client. The remote control module may determine and display the possible one or more non-obstructed directions that the remote aerial device is capable of moving by an incremental distance. In response to receiving a selection of one of the directions, the remote control module may transmit the selection to the remote aerial device to indicate the next movement for the remote aerial device.
Abstract:
Provided herein is a computing system including a processor in communication with at least one memory. The processor is configured to (i) build a model using historical vehicle telematics data and historical vehicle data, the model configured to: (a) predict an operating cost of a vehicle based upon a vehicle type and user data and (b) output operational parameters for operating the vehicle, (ii) receive a vehicle acquisition request for a selected vehicle including vehicle data for the selected vehicle and selected user data for the user of the selected vehicle, (iii) input the vehicle acquisition request data into the model, and (iv) output from the model an acquisition cost and operational parameters for the selected vehicle and the selected user including a procurement cost for the selected vehicle and an operating cost for operating the selected vehicle within the operational parameters for a predetermined time period.
Abstract:
A matching computer system for electronically generating, matching, and providing online user profiles, and determining a trust score for a user based upon at least social media data and insurance data is provided. The matching computer system may be configured to register users within the matching computer system, receive consent from the users to capture the social media data, and collect the social media data and the insurance data from each registered user. The matching computer system may also be configured to retrieve the social media data and the insurance data associated with each registered user. The matching computer system may be further configured to determine a trust score for each registered user based upon each respective social media data and each respective insurance data. Each trust score represents a level of trustworthiness of the user.
Abstract:
A data analytics computing device for generating refined risk models responsive to vehicle-based telematics data is configured to receive geolocation data and telematics data associated with a plurality of vehicles. The geolocation data is captured at a location sensor of a vehicle computing device and representative of a location of the vehicle, and the telematics data is captured at a plurality of sensors of at least one of the vehicle or the vehicle computing device and representative of movement of the vehicle. The plurality of vehicles is associated with a geographic area. The data analytics computing device is also configured to apply machine-learning techniques to the geolocation data and the telematics data to define standard driving behavior within the geographic area, and generate driving behavior risk models for the geographic area based upon the standard driving behavior.
Abstract:
The following relates generally to dryer duct safety. In some embodiments, a system may include an airflow sensor configured to measure airflow in a dryer duct. The system may further include one or more processors configured to receive an operation status signal of a dryer, determine an airflow level based upon an airflow signal received from the airflow sensor, and determine that a clog exists in the dryer duct based upon: (i) the airflow level and (ii) the operation status signal. The system may further include a robotic component to clean the dryer duct upon determining a clog exists.
Abstract:
In a method for applying penalties or incentives to a driver of a rented vehicle, an indication that the driver has agreed to terms for renting the vehicle from the vehicle owner is received, with the terms including the potential application of penalties or incentives to the driver based on driving behavior. Telematics data, indicative of operation of the rented vehicle by the driver during a period of time, is also received. By analyzing the telematics data, one or more driving behaviors of the driver during the time period is/are identified. One or more characteristics of the rented vehicle are also determined. One or more penalties or incentives are caused to be applied to the driver, based on the driving behavior(s) and the one or more characteristics of the rented vehicle.
Abstract:
Systems and methods are described for detecting and responding to a likelihood of a heating system malfunction. The method may include: (1) receiving home telematics data associated with a structure, wherein the home telematics data includes local weather data for an area associated with the structure; (2) receiving operation data regarding a functionality of a heating system associated with the structure; (3) diagnosing, based upon at least the home telematics data and the operation data, a potential malfunction in the heating system; (4) determining, based upon at least the diagnosis, that a threshold likelihood of bursting is exceeded for one or more pipes; and (5) transmitting an indication to a user associated with the structure that the one or more pipes are likely to burst.