State Farm Mutual Automobile Insurance Company

Other

James M Freeman

Nathan Lee Tofte

Patrick Harold Boyer

Nicholas U Christopulos

Jonathan D Maurer

Roger D Schmidgall

Jackie O Jordan, Ii

Brian N Harvey

Vaidya Balasubramanian Pillai

Matthew Eric Riley, Sr

David W Thurber

Gregory Dwayne Carter

Jason Chang

Ii Jordan Jackie O

In a method and system for scanning a structure, a structure scanner may acquire multiple scans of a surface of a structure. Each of the scans may correspond to different portions of the surface. The property inspection system may generate a 3D model of the surface using the scans. To account for potential changes in position and/or orientation of the structure scanner between scans, the structure scanner may self-calibrate using a fiducial marker. By correcting for changes in position and orientation over time, the structure scanner may accurately map the scans of the different portions of the surface to a 3D model of the surface.

Robust laser scanning for generating a 3D model

A computer-implemented method includes detecting a distinct area within an image, comparing detected features of the distinct area within the image to reference features corresponding to a reference image, and determining that the detected distinct area matches the reference image based on the comparison between the detected features and the reference features. The method further includes receiving an indication that the user selects the detected distinct area within the image, retrieving contact information corresponding to the reference image, and causing the client device to display an interface allowing the user to contact the entity.

Connecting users to entities based on recognized objects

In a computer-implemented method and system for capturing the condition of a structure, the structure is scanned with an unmanned aerial vehicle (UAV). Data collected by the UAV corresponding to points on a surface of a structure is received and a 3D point cloud is generated for the structure, where the 3D point cloud is generated based at least in part on the received UAV data. A 3D model of the surface of the structure is reconstructed using the 3D point cloud.

Estimating a condition of a physical structure

In a computer-implemented method and system for capturing the condition of a structure, the structure is scanned with an unmanned aerial vehicle (UAV). The UAV receives an instruction to collect information on at least one aspect of a property, and identifies one or more onboard sensors of the UAV to collect the information on the at least one aspect of the property, where the UAV is configured to identify a first set of one or more onboard sensors to collect a first type of data and to identify a second set of one or more onboard sensors to collect a second type of data. The UAV also collects the information on the at least one aspect of the property using the one or more onboard sensors, and identifies, based on the collected information, a type of damage incurred on the at least one aspect of the property.

Systems and methods for assessing a physical structure are provided. Information indicative of an infrared image that includes a portion of the physical structure is received, and one or more indicators within the infrared image exceeding a heat threshold are determined. A plurality of characteristics of the one or more indicators are determined. One or more edges of the portion of the physical structure are detected, and an area associated with an intended use of one or more fasteners associated with the physical structure is determined according to the detected edges. An amount of the one or more indicators corresponding to the area is determined, and the one or more indicators are classified as fasteners according to the determined amount. Based on the classification of the one or more indicators, a condition of the physical structure is determined.

System and method for assessing a physical structure

A shading system creates a shaded region on a structure, enabling 3D scanning techniques that rely on light detection to generate a 3D model. The shading system includes a vehicle or device that moves the shading system into place. A light, such as a laser dot or line, can be projected onto the shaded region of the structure and detected by a 3D scanner.

Providing shade for optical detection of structural features

A tethering system for a remote-controlled device including 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.

Tethering system and method for remote device

In a computer-implemented method and system for capturing the condition of a structure, the structure is scanned with a three-dimensional (3D) scanner. The 3D scanner generates 3D data. A point cloud or 3D model is constructed from the 3D data. The point cloud or 3D model is then analyzed to determine the condition of the structure.

The method, system, and computer-readable medium facilitates monitoring a vehicle operator during the course of vehicle operation to determine whether the vehicle operator is impaired (e.g., distracted, drowsy, intoxicated) and alerting the vehicle operator using a haptic alert delivered by a wearable computing device worn by the vehicle operator when impairment is detected. The method, system, and computer-readable medium may monitor the vehicle operator, the environment surrounding the vehicle, and/or forces acting on the vehicle using a variety of sensors, including optical sensors or accelerometers. In particular, optical sensors may monitor the vehicle operator to detect eye blinks, head nods, head rotations, and/or gaze fixation. Optical sensors may also monitor the road ahead of the vehicle to detect lane deviation, lane centering, and time to collision. Accelerometers may detect acceleration in the direction of vehicle travel and/or lateral acceleration.

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Normal, IL, United States of America

James M Freeman