Abstract: A system for dispensing flame retardant foam on the exterior of a structure. The structure has an opening that enables distribution of flame retardant foam onto the roof. The system includes a foam distribution system having a foam expansion chamber and a roof plenum for delivery through the roof opening. Foam solution and compressed air are combined in a conduit and supplied to the foam expansion chamber. The structure may have at least one wall. In that case, the system may have a wall plenum for delivery of flame retardant foam from the foam expansion chamber through a first wall-associated opening. Each such wall will have an opening associated with the wall that enables distribution of flame retardant foam onto that wall.

Abstract: The present invention provides a tire-wear detection sensor for a vehicle having a telematics system and tires including a temperature sensor, a pressure sensor, and an RF antenna in electronic communication with the sensors, and capable of transmitting the temperature signal and the pressure signal to the telematics system.

Abstract: A system and method for capturing and automated processing aerial images of structures to assess structural damage is disclosed. The system comprises a computing system used to obtain images of selected locations associated with known structures at different points in time before and after a natural disaster. The images are used to automatically create three-dimensional models that are used to detect the specific portions of a structure that may be damaged as well as the spatial extent of that damage. In addition, the imagery can be fed into a damage classifier that automatically classifies the degree of damage and generates accurate estimates of repair costs. The system and method may be deployed to quickly assess damage of structures in a disaster area and provide reports of the damage to homeowners and/or insurers.

Abstract: A system and method for capturing and processing aerial images of structures to assess structural damage is disclosed. The system comprises an aerial system associated with an aerial vehicle, which is in contact with a ground system. The aerial system is used to capture images of selected locations associated with known structures and crop those images around the selected locations. The cropped images are then fed into a damage classifier that automatically classifies the degree of damage done to structures at the selected locations. The system and method may be deployed to quickly assess damage of structures in a disaster area.

Abstract: A data acquisition system of a vehicle includes an image capture device, a communication interface, and a controller communicatively coupled to the image capture device and communicatively coupled to the communication interface. Processors of the controller are configured to calibrate an image-distance relationship value of an identified component of a first image captured by the image capture device corresponding to a known feature based on established metrics of the known feature. The processors are also configured to provide control of the vehicle or activation of an alert system of the vehicle via the communication interface based on the image-distance relationship value.

Abstract: A computer-implemented method for monitoring a condition of a person includes receiving, at a computerized device, at least one signal from a condition sensor and determining if a condition is an emergency condition of a user based on the at least one signal.

Abstract: A method includes receiving a first set of images from an image capture device of a vehicle. The method also includes performing a first analysis of movement of biomechanical points of occupants of the vehicle in the first set of images. The method further includes receiving an indication that a traffic incident has occurred. The method also includes receiving a second set of images from the image capture device corresponding to when the traffic incident occurred. The method further includes performing a second analysis of movement of the biomechanical points of the occupants in the second set of images. The method also includes determining a likelihood of injury or a severity of injury to the occupants based on the first analysis of movement and the second analysis of movement.

Abstract: A property is identified about which to gather information. A vehicle is deployed to a location associated with the property. The vehicle gathers data at the location. A portion of the gathered data indicating a condition or event at the property is determined and encrypted. The portion of the gathered data is stored or sent to an authorized party.

Abstract: A system for dispensing flame retardant foam on the exterior of a structure. The structure has an opening that enables distribution of flame retardant foam onto the roof. The system includes a foam distribution system having a foam expansion chamber and a roof plenum for delivery through the roof opening. Foam solution and compressed air are combined in a conduit and supplied to the foam expansion chamber. The structure may have at least one wall. In that case, the system may have a wall plenum for delivery of flame retardant foam from the foam expansion chamber through a first wall-associated opening. Each such wall will have an opening associated with the wall that enables distribution of flame retardant foam onto that wall.

Abstract: Unmanned vehicles may be used to survey a property in response to or in anticipation of damage to the property. For example, an unmanned vehicle may use one or more sensors to determine damage to the property. Unmanned vehicles can be terrestrial, aerial, nautical, or multi-mode.

Abstract: A data acquisition system of a vehicle includes an image capture device, a communication interface, and a controller communicatively coupled to the image capture device and communicatively coupled to the communication interface. Processors of the controller are configured to calibrate an image-distance relationship value of an identified component of a first image captured by the image capture device corresponding to a known feature based on established metrics of the known feature. The processors are also configured to provide control of the vehicle or activation of an alert system of the vehicle via the communication interface based on the image-distance relationship value.

Abstract: The technology described includes a physical, connected device/button, that when pressed or clicked, causes money to be transferred according to a set of rules (i.e., a “one-click” transfer of funds). In some embodiments, each click can cause a small, pre-set increment of money to be transferred from a user's checking account to the user's savings account. In other embodiments, the user can hold the button down for a longer period of time, indicating a request for a larger amount of money to be transferred.

Abstract: The present invention provides a tire-wear detection sensor for a vehicle having a telematics system and tires including a temperature sensor, a pressure sensor, and an RF antenna in electronic communication with the sensors, and capable of transmitting the temperature signal and the pressure signal to the telematics system.

Abstract: An interactive map may comprise image data associated with an area. First image data and second image data may comprise an indication of a subsection of the area at different times. At least a portion of the first image data and second image data may be output via the interactive map. The subsection of the area in the first image data and in the second image data may be output at corresponding positions. The interactive map may comprise an interactive icon. A user input may be received, via the interactive map, indicative of a movement of the interactive icon. Responsive to the user input, a part of the first image data or the second image data may be revealed and a part of the second image data or the first image data may be obscured in a direction corresponding to a direction of the movement of the interactive icon.

Abstract: A system and method for capturing and automated processing aerial images of structures to assess structural damage is disclosed. The system comprises a computing system used to obtain images of selected locations associated with known structures at different points in time before and after a natural disaster. The images are used to automatically create three-dimensional models that are used to detect the specific portions of a structure that may be damaged as well as the spatial extent of that damage. In addition, the imagery can be fed into a damage classifier that automatically classifies the degree of damage and generates accurate estimates of repair costs. The system and method may be deployed to quickly assess damage of structures in a disaster area and provide reports of the damage to homeowners and/or insurers.

Abstract: An interactive map may comprise image data associated with an area. First image data and second image data may comprise an indication of a subsection of the area at different times. At least a portion of the first image data and second image data may be output via the interactive map. The subsection of the area in the first image data and in the second image data may be output at corresponding positions. The interactive map may comprise an interactive icon. A user input may be received, via the interactive map, indicative of a movement of the interactive icon. Responsive to the user input, a part of the first image data or the second image data may be revealed and a part of the second image data or the first image data may be obscured in a direction corresponding to a direction of the movement of the interactive icon.

Abstract: Unmanned vehicles can be terrestrial, aerial, nautical, or multi-mode. Unmanned vehicles may be used to survey a property in response to or in anticipation of damage to an object. For example, an unmanned vehicle may project a laser pattern and use information associated with the laser pattern to determine characteristics of the object.

Abstract: A system and method for capturing and processing aerial images of structures to assess structural damage is disclosed. The system comprises an aerial system associated with an aerial vehicle, which is in contact with a ground system. The aerial system is used to capture images of selected locations associated with known structures and crop those images around the selected locations. The cropped images are then fed into a damage classifier that automatically classifies the degree of damage done to structures at the selected locations. The system and method may be deployed to quickly assess damage of structures in a disaster area.

Abstract: A method includes receiving a first set of images from an image capture device of a vehicle. The method also includes performing a first analysis of movement of biomechanical points of occupants of the vehicle in the first set of images. The method further includes receiving an indication that a traffic incident has occurred. The method also includes receiving a second set of images from the image capture device corresponding to when the traffic incident occurred. The method further includes performing a second analysis of movement of the biomechanical points of the occupants in the second set of images. The method also includes determining a likelihood of injury or a severity of injury to the occupants based on the first analysis of movement and the second analysis of movement.

Abstract: A data acquisition system of a vehicle includes an image capture device, a communication interface, and a controller communicatively coupled to the image capture device and communicatively coupled to the communication interface. Processors of the controller are configured to calibrate an image-distance relationship value of an identified component of a first image captured by the image capture device corresponding to a known feature based on established metrics of the known feature. The processors are also configured to provide control of the vehicle or activation of an alert system of the vehicle via the communication interface based on the image-distance relationship value.