US 12,488,315 B1
Damage assessment systems and methods
David M. Jones, Jr., San Antonio, TX (US); Joel S. Hartshorn, Port Orchard, WA (US); Nolan Serrao, Plano, TX (US); Jennifer Hunt Erickson, San Antonio, TX (US); Subhalakshmi Selvam, Allen, TX (US); David Patrick Dixon, Boerne, TX (US); and Kevin Kenneth Fiedler, Fair Oaks Ranch, TX (US)
Assigned to United Services Automobile Association (USAA), San Antonio, TX (US)
Filed by United Services Automobile Association (USAA), San Antonio, TX (US)
Filed on Sep. 29, 2022, as Appl. No. 17/955,968.
Claims priority of provisional application 63/250,648, filed on Sep. 30, 2021.
Int. Cl. G06Q 40/00 (2023.01); G06Q 10/10 (2023.01); G16Y 10/45 (2020.01); G16Y 10/80 (2020.01); G16Y 40/10 (2020.01)
CPC G06Q 10/10 (2013.01) [G16Y 10/45 (2020.01); G16Y 10/80 (2020.01); G16Y 40/10 (2020.01)] 20 Claims
OG exemplary drawing
 
1. A damage assessment system, comprising:
one or more processors; and
memory storing instructions executable by the one or more processors to cause the one or more processors to:
receive a first set of internet of things (IOT) data from one or more IOT devices corresponding to one or more locations at a property, wherein the first set of IOT data comprises respective data obtained at a first sampling rate via a first IOT device of the one or more IOT devices at a first location of the one or more locations;
analyze the first set of IOT data to identify missing data that is expected to be received from a second IOT device of the one or more IOT devices at a second location of the property one or more locations;
in response to identifying the missing data:
determine that the first IOT device is relevant to the missing data based on the first location being within a threshold proximity of the second location;
increase the first sampling rate for the first IOT device to a second sampling rate for the first IOT device;
receive a second set of IOT data from at least the first IOT device, wherein the second set of IOT data comprises respective data obtained at the second sampling rate via the first IOT device;
input at least the respective IOT data obtained at the second sampling rate via the first IOT device to one or more machine learning algorithms to generate constructed data in place of the missing data;
determine characteristics of damage present at the property based on the first set of IOT data, the second set of IOT data, and the constructed data; and
output a damage assessment report to indicate the characteristics of the damage present at the property.