Unmanned vehicle data correlation, routing, and reporting

A unmanned vehicle data processing computing device, comprising:

• at least one processor;
• and
• a non-transitory, computer-readable memory configured to be in communication with the at least one processor;
• the at least one processor effective to:
• receive first unmanned vehicle data related to an unmanned vehicle from a first computing device;
• receive second unmanned vehicle data related to the unmanned vehicle from a second computing device;
• determine that the first unmanned vehicle data and the second unmanned vehicle data relate to the unmanned vehicle by correlating first metadata of the first unmanned vehicle data with second metadata of the second unmanned vehicle data;
• identify a parameter stored in the computer-readable memory, wherein the parameter defines an operating limitation for unmanned vehicles;
• compare at least one of the first unmanned vehicle data and the second unmanned vehicle data to the parameter;
• and
• determine that the unmanned vehicle has operated in violation of the operating limitation.

A computer-implemented method to identify a unmanned vehicle, the method comprising:

• receiving location data and time stamp data from a mobile computing device as a part of a unmanned vehicle incident report, wherein the location data indicates a location and wherein the time stamp data indicates a time;
• searching a database using the location data and the time stamp data as a search query to the database;
• receiving a first list of reported unmanned vehicle incidents, wherein the reported unmanned vehicle incidents occurred within a threshold distance of the location and within a threshold amount of time of the time indicated by the time stamp data;
• identifying a second list of one or more unmanned vehicles involved in the first list of reported unmanned vehicle incidents;
• and
• sending the second list of the one or more unmanned vehicles to the mobile computing device or another computing device.