Systems and methods for automated multi-object damage analysis

A system for automatically ascertaining an estimated amount of damage to a plurality of objects at a location, comprising:

• an aerial vehicle comprising (i) a propulsion device, (ii) a wireless receiver device, and (iii) an imaging device;
• and
• a mobile device application executed on a mobile electronic device, wherein the mobile electronic device comprises (i) an electronic processing unit, (ii) a wireless transceiver device in communication with the electronic processing unit and the wireless receiver device of the aerial vehicle, and (iii) a non-transitory memory device in communication with the electronic processing unit, wherein the non-transitory memory device stores instructions that define the mobile device application and wherein the mobile device application, when executed by the electronic processing unit, results in:
• transmitting, from the mobile electronic device and to the aerial vehicle, a command to capture bird's-eye view imagery of a location at which a plurality of objects have been reported as being damaged;
• activating, by the aerial vehicle and in response to a receiving of the transmitted command to capture the bird's-eye view imagery of the location at which the plurality of objects have been reported as being damaged, the propulsion device and thereby positioning the aerial vehicle at a first altitude above the location at which the plurality of objects fit within a field of view of the imaging device;
• capturing, by the imaging device of the aerial vehicle and from the first altitude above the location, the bird's-eye view imagery of the plurality of objects at the location;
• analyzing, by a first artificial intelligence module, the bird's-eye view imagery of the plurality of objects at the location;
• identifying, by the first artificial intelligence module and based on the analyzing of the bird's-eye view imagery of the plurality of objects at the location, a number of discrete objects in the bird's-eye view imagery;
• transmitting, from the mobile electronic device and to the aerial vehicle, a command to capture a plurality of low-altitude imagery samples of the location, with each low-altitude imagery sample being directed at a subset of the number of discrete objects identified in the bird's-eye view imagery;
• activating, by the aerial vehicle and in response to a receiving of the transmitted command to capture the plurality of low-altitude imagery samples at the location, the propulsion device and thereby repositioning the aerial vehicle at a second altitude above the location and orienting the imaging device such that a first subset of the number of discrete objects identified in the bird's-eye view imagery fit within a field of view of the imaging device;
• capturing, by the imaging device of the aerial vehicle and from the second altitude above the location, the plurality of low-altitude imagery samples of the location, with each low-altitude imagery sample being directed at a subset of the number of discrete objects identified in the bird's-eye view imagery;
• analyzing, by a second artificial intelligence module, the plurality of low-altitude imagery samples of the location;
• identifying, by the second artificial intelligence module and based on the analyzing of the plurality of low-altitude imagery samples of the location, identification information for each of the discrete objects in the bird's-eye view imagery;
• analyzing, by a third artificial intelligence module, the identification information for each of the discrete objects in the bird's-eye view imagery and damage information for the location;
• calculating, by the third artificial intelligence module and based on the analyzing of the identification information for each of the discrete objects in the bird's-eye view imagery and the damage information for the location, a total dollar amount of estimated damage for the location;
• and
• outputting an indication of the calculated total dollar amount of estimated damage for the location.