Structural characteristic extraction using drone-generated 3D image data

A computer-implemented method for generating an insurance claim for an object pictured in a three-dimensional (3D) image, using a structural analysis computing device including a memory, a user interface, an object sensor configured to scan a plurality of objects to capture the 3D image of the object, and at least one processor in communication with the memory and the object sensor, the structural analysis computing device coupled to a drone, the method comprising:

• transmitting an instruction to the drone to navigate the object of the plurality of objects;
• transmitting an instruction to the object sensor to capture the 3D image of the object;
• accessing the 3D image including the object;
• analyzing the 3D images captured by the drone to identify features of the object using image analysis trained using one or more machine learning algorithms;
• automatically identifying the object of the plurality of objects within the 3D image based upon the analysis;
• determining that the identified object is an insurable asset using a database lookup of insurable assets;
• in response to determining that the identified Wept is one of the insurable assets, determining a nature and an extent of damage to a damaged feature of the object based on the analysis;
• determining a cost of repair of the damaged feature of the object based upon the nature and extent of the damage;
• generating a claim form including the determined cost of repair;
• and
• displaying the generated claim form to a user of the structural analysis computing device for review and approval by the user.

A mobile photogrammetry system for generating an insurance claim associated with an object pictured in a three-dimensional (3D) image, the mobile photogrammetry system comprising:

• a structural analysis computing device coupled to a drone, the structural analysis computing device comprising:
• a first memory;
• an object sensor configured to configured to scan an interior structure of a room to capture the 3D image of the room, wherein the room includes a plurality of objects;
• at least one first processor in communication with the first memory, and the object sensor, wherein the at least one first processor is programmed to:
• transmit an instruction to the drone to navigate to an object of the plurality of objects;
• transmit an instruction to the object sensor to capture the 3D image of the object;
• and
• transmit the 3D image to an insurance server;
• and
• the insurance server comprising:
• a second memory;
• and
• at least one second processor in communication with the second memory, wherein the at least one second processor is programmed to:
• receive the 3D image of the object;
• analyze the 3D image captured by the drone to identify features of the object using image analysis trained using one or more machine learning algorithms;
• automatically identify the object of the plurality of objects within the 3D image based upon the analysis;
• determine that the identified object is an insurable asset using a database lookup of insurable assets;
• in response to determining that the identified object is one of the insurable assets, determine a nature and an extent of damage to a damaged feature of the object based on the analysis;
• determine a cost of repair of the damaged feature of the object based upon the nature and extent of the damage;
• generate a claim form including the determined cost of repair;
• and
• transmit the claim display the generated claim form to a user of the structural analysis computing device for review and approval by the user.