Automatic location-based media capture tracking

Abstract

Digital media assets depicting or otherwise representing portions of a property are captured via a media capture device, such as an unmanned vehicle, at various locations about a property. A positioning receiver tracks the location of the media capture device when each digital media asset is captured. A computing device associated with either the media capture device itself or a network-connected server automatically generates location-based categories—such as “front side” or “rear side” or “living room”—automatically based on the plurality of locations so that each location-based category is associated with multiple digital media assets and their corresponding locations.

What is claimed is: 
     
         1 . A method for location-based media capture tracking, the method comprising:
 tracking a media capture device using a positioning receiver of the media capture device, wherein the media capture device is tracked to a plurality of locations about a property;   receiving a plurality of digital media assets captured by the tracked media capture device;   identifying one or more representations of one or more defects associated with the property within the plurality of digital media assets;   generating a plurality of subject-based categories automatically based on one or more defect types, wherein the one or more defect types represent the one or more defects associated with the property;   categorizing each digital media asset of the plurality of digital media assets into one of the plurality of subject-based categories automatically based on a defect that corresponds to the digital media asset of the one or more defects; and   filtering the plurality of digital media assets based on at least one of the plurality of subject-based categories to output a filtered set of digital media assets.   
     
     
         2 . The method of  claim 1 , wherein the media capture device is an unmanned vehicle. 
     
     
         3 . The method of  claim 1 , wherein the plurality of digital media assets includes at least one image. 
     
     
         4 . The method of  claim 1 , wherein the plurality of digital media assets includes at least one video. 
     
     
         5 . The method of  claim 1 , further comprising:
 categorizing each digital media asset of the plurality of digital media assets into a location-based category based on a location of the defect that corresponds to the digital media asset of the one or more defects.   
     
     
         6 . The method of  claim 1 , wherein generating the plurality of subject-based categories includes generating the plurality of subject-based categories based on one or more object types, wherein the one or more object types represent one or more objects that are defective in the one or more defects associated with the property. 
     
     
         7 . The method of  claim 1 , wherein the plurality of locations about the property include an interior of a structure, wherein the property includes the structure. 
     
     
         8 . The method of  claim 1 , wherein the plurality of locations about the property include an exterior of a structure, wherein the property includes the structure. 
     
     
         9 . The method of  claim 1 , further comprising:
 generating a map of the property, wherein one or more pins associated with one or more defect locations of the one or more defects are identified on the map.   
     
     
         10 . The method of  claim 9 , wherein the map includes a three-dimensional layout of at least a portion of the property. 
     
     
         11 . The method of  claim 1 , further comprising;
 generating a report based on the filtered set of digital media assets; and   transmitting the report to a secondary device.   
     
     
         12 . The method of  claim 1 , further comprising;
 generating a unique key pair comprising a private key and a public key;   generating a hash digest of a first digital media asset of the plurality of digital media assets;   generating an encrypted digital signature by encrypting at least the hash digest using the private key;   verifying that the first digital media asset is genuine by decrypting the encrypted digital signature using the public key to retrieve the hash digest and by verifying that the hash digest corresponds to a newly generated hash digest of the first digital media asset; and   publishing the public key.   
     
     
         13 . The method of  claim 12 , further comprising encrypting at least one of the first digital media asset or metadata associated with capture of the first digital media asset, the metadata including at least a timestamp. 
     
     
         14 . A system for location-based media capture tracking, the system comprising:
 a positioning receiver that tracks a media capture device, wherein the media capture device is tracked to a plurality of locations about a property;   the media capture device, wherein the media capture device captures a plurality of digital media assets;   a memory that stores instructions; and   a processor that executes the stored instructions, wherein execution of the stored instructions by the processor causes the processor to:
 identifies one or more representations of one or more defects associated with the property within the plurality of digital media assets, 
 generate a plurality of subject-based categories automatically based on one or more defect types, wherein the one or more defect types represent the one or more defects associated with the property, 
 categorize each digital media asset of the plurality of digital media assets into one of the plurality of subject-based categories automatically based on a defect that corresponds to the digital media asset of the one or more defects, and 
 filter the plurality of digital media assets based on at least one of the plurality of subject-based categories to output a filtered set of digital media assets. 
   
     
     
         15 . The system of  claim 14 , wherein the media capture device is an unmanned vehicle. 
     
     
         16 . The system of  claim 14 , wherein the media capture device includes a particulate matter sensor, wherein identifying the one or more representations of the one or more defects includes identifying a representation of a first defect in particulate matter data received from the particulate matter sensor. 
     
     
         17 . The system of  claim 14 , wherein the media capture device includes a soil sensor, wherein identifying the one or more representations of the one or more defects includes identifying a representation of a first defect in soil sensor data received from the soil sensor. 
     
     
         18 . The system of  claim 14 , wherein the media capture device includes an image sensor, and wherein the plurality of digital media assets includes a visual digital media asset captured by the image sensor, wherein identifying the one or more representations of the one or more defects includes identifying a depiction of a first defect in the visual digital media asset. 
     
     
         19 . The system of  claim 14 , wherein execution of further instructions by the processor causes the processor to:
 generating a unique key pair comprising a private key and a public key;   generating a hash digest of a first digital media asset of the plurality of digital media assets;   generating an encrypted digital signature by encrypting at least the hash digest using the private key,   verifying that the first digital media asset is genuine by decrypting the encrypted digital signature using the public key to retrieve the hash digest and by verifying that the hash digest corresponds to a newly generated hash digest of the first digital media asset; and   publishing the public key.   
     
     
         20 . A non-transitory computer readable storage medium having embodied thereon a program, wherein the program is executable by a processor to perform a method of location-based media capture tracking, the method comprising:
 tracking a media capture device using a positioning receiver of the media capture device, wherein the media capture device is tracked to a plurality of locations about a property;   receiving a plurality of digital media assets captured by the tracked media capture device;   identifying one or more representations of one or more defects associated with the property within the plurality of digital media assets;   generating a plurality of subject-based categories automatically based on one or more defect types, wherein the one or more defect types represent the one or more defects associated with the property;   categorizing each digital media asset of the plurality of digital media assets into one of the plurality of subject-based categories automatically based on a defect that corresponds to the digital media asset of the one or more defects; and   filtering the plurality of digital media assets based on at least one of the plurality of subject-based categories to output a filtered set of digital media assets.