MLchartDataset catalogue

Patent · US11410416B1 · B1 · US

Systems and methods for assessing landscape condition

(11) Publication number
US11410416B1
(21) Application number
16/859,245
(22) Filing date
2020-04-27
(30) Priority date
2019-04-30
(43) Publication date
2022-08-09
(45) Date of grant
2022-08-09
(51) IPC
G05B 19/042; G06V 20/10; G06V 20/13; H04N 7/18
(52) CPC
  • G06V Image or video recognition or understanding: 20/13, 20/10, 20/176
  • G05B Control or regulating systems in general; functional elements of such systems; monitoring or testing arrangements for such systems or elements: 15/02, 19/042, 2219/23158
  • H04N Pictorial communication, e.g. television: 7/181, 7/185
(73) Assignee
United Services Automobile Association USAA
(72) Inventors
Yevgeniy Viatcheslavovich Khmelev; Oscar Guerra; Jeffrey Neal Pollack; Janelle Denice Dziuk; Ashley Raine Philbrick; Ryan Thomas Russell; David Patrick Dixon
(54) Title
Systems and methods for assessing landscape condition
(57) Abstract

A technique for assessing a landscape condition of a property is provided that determines landscape condition for an individual property or properties of interest using image data from one or more unmanned aerial vehicles. Based on the image data, a control system may generate a landscape condition output, such as an alert for a property owner or control signals for damage mitigation devices.

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Claims (5)

  1. A method, comprising: receiving, via a processor, a weather alert associated with a natural disaster for a geographic area; determining, via the processor, the geographic area of the weather alert is associated with a property; instructing, via the processor, a controller of an unmanned aerial vehicle to obtain first image data of the property via a flight path in the geographic area at a first time point in response to determining the geographic area is associated with the property; receiving, via the processor, the image data of the property from the unmanned aerial vehicle; identifying, via the processor, a risk-mitigating landscape feature of the property based on the image data; determining, via the processor, a characteristic of the risk-mitigating landscape feature, wherein the characteristic of the risk-mitigating landscape feature is that a previously identified risk-mitigating landscape feature is absent from the property; generating, via the processor, a landscape condition output based on the characteristic of the risk-mitigating landscape feature; and transmitting, via the processor, the landscape condition output to a garage door controller of the property wherein, upon receipt of the landscape condition output, the garage door operates to close an open garage door.
  2. The method of claim 1, comprising transmitting the landscape condition output to a water emitting device proximate to or within the property, wherein, upon receipt of the landscape condition output, the water emitting device operates to emit water.
  3. The method of claim 1, wherein the natural disaster is a wildfire, and the weather alert comprises a wind direction, and wherein determining the geographic area is associated with the property comprises determining the property is downwind of the wind direction.
  4. The method of claim 1, wherein the characteristic of the risk-mitigating landscape feature comprises a relative position of the risk-mitigating landscape feature to a structure of the property.
  5. The method of claim 1, wherein the risk-mitigating landscape feature comprises an artificial landscape feature.

Description

The present disclosure relates generally to systems and methods for assessing landscape condition of a geographic region of a property. More specifically, the present disclosure relates to techniques to provide an assessment of landscape features and characteristics of the landscape features of a geographic region of a property and to assemble a landscape condition output.

This section is intended to introduce the reader to various aspects of art that may be related to various aspects of the present techniques, which are described and/or claimed below. This discussion is believed to be helpful in providing the reader with background information to facilitate a better understanding of the various aspects of the present disclosure. Accordingly, it should be understood that these statements are to be read in this light, and not as admissions of prior art.

Natural disasters can produce damage to a property that may be expensive and time-consuming to repair for the property owner and/or manager. At least in some instances, certain landscape features around the property, both natural landscape features (e.g., plants, water sources, hills) and artificial landscape features (e.g., swimming pools, structures), that can either reduce or increase a likelihood of damage to the property from a natural disaster, such as a wildfire. However, it may be difficult for a person associated with the property to monitor and/or manage these landscape features to mitigate or prevent damage to the property.

Citations (35)

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Record as JSON
{
  "publication_number": "US11410416B1",
  "country": "US",
  "kind": "B1",
  "title": "Systems and methods for assessing landscape condition",
  "abstract": "A technique for assessing a landscape condition of a property is provided that determines landscape condition for an individual property or properties of interest using image data from one or more unmanned aerial vehicles. Based on the image data, a control system may generate a landscape condition output, such as an alert for a property owner or control signals for damage mitigation devices.",
  "claims": [
    "1. A method, comprising: receiving, via a processor, a weather alert associated with a natural disaster for a geographic area; determining, via the processor, the geographic area of the weather alert is associated with a property; instructing, via the processor, a controller of an unmanned aerial vehicle to obtain first image data of the property via a flight path in the geographic area at a first time point in response to determining the geographic area is associated with the property; receiving, via the processor, the image data of the property from the unmanned aerial vehicle; identifying, via the processor, a risk-mitigating landscape feature of the property based on the image data; determining, via the processor, a characteristic of the risk-mitigating landscape feature, wherein the characteristic of the risk-mitigating landscape feature is that a previously identified risk-mitigating landscape feature is absent from the property; generating, via the processor, a landscape condition output based on the characteristic of the risk-mitigating landscape feature; and transmitting, via the processor, the landscape condition output to a garage door controller of the property wherein, upon receipt of the landscape condition output, the garage door operates to close an open garage door.",
    "2. The method of claim 1, comprising transmitting the landscape condition output to a water emitting device proximate to or within the property, wherein, upon receipt of the landscape condition output, the water emitting device operates to emit water.",
    "3. The method of claim 1, wherein the natural disaster is a wildfire, and the weather alert comprises a wind direction, and wherein determining the geographic area is associated with the property comprises determining the property is downwind of the wind direction.",
    "4. The method of claim 1, wherein the characteristic of the risk-mitigating landscape feature comprises a relative position of the risk-mitigating landscape feature to a structure of the property.",
    "5. The method of claim 1, wherein the risk-mitigating landscape feature comprises an artificial landscape feature."
  ],
  "description_excerpt": "The present disclosure relates generally to systems and methods for assessing landscape condition of a geographic region of a property. More specifically, the present disclosure relates to techniques to provide an assessment of landscape features and characteristics of the landscape features of a geographic region of a property and to assemble a landscape condition output.\n\nThis section is intended to introduce the reader to various aspects of art that may be related to various aspects of the present techniques, which are described and/or claimed below. This discussion is believed to be helpful in providing the reader with background information to facilitate a better understanding of the various aspects of the present disclosure. Accordingly, it should be understood that these statements are to be read in this light, and not as admissions of prior art.\n\nNatural disasters can produce damage to a property that may be expensive and time-consuming to repair for the property owner and/or manager. At least in some instances, certain landscape features around the property, both natural landscape features (e.g., plants, water sources, hills) and artificial landscape features (e.g., swimming pools, structures), that can either reduce or increase a likelihood of damage to the property from a natural disaster, such as a wildfire. However, it may be difficult for a person associated with the property to monitor and/or manage these landscape features to mitigate or prevent damage to the property.",
  "cpc": [
    "G06V 20/13",
    "G05B 15/02",
    "G05B 19/042",
    "G05B 2219/23158",
    "G06V 20/10",
    "G06V 20/176",
    "H04N 7/181",
    "H04N 7/185"
  ],
  "ipc": [
    "G05B 19/042",
    "G06V 20/10",
    "G06V 20/13",
    "H04N 7/18"
  ],
  "assignees": [
    "United Services Automobile Association USAA"
  ],
  "inventors": [
    "Yevgeniy Viatcheslavovich Khmelev",
    "Oscar Guerra",
    "Jeffrey Neal Pollack",
    "Janelle Denice Dziuk",
    "Ashley Raine Philbrick",
    "Ryan Thomas Russell",
    "David Patrick Dixon"
  ],
  "filing_date": "2020-04-27",
  "publication_date": "2022-08-09",
  "grant_date": "2022-08-09",
  "priority_date": "2019-04-30",
  "application_number": "US-202016859245-A",
  "family_id": "82705933",
  "cited_by_count": 6,
  "citations": [
    "US20020026431A1",
    "US20080114655A1",
    "US6964379B2",
    "US20060008137A1",
    "US20090265193A1",
    "US20100070097A1",
    "US20140245210A1",
    "US20160175633A1",
    "US20160048925A1",
    "US20210042843A1",
    "US10514669B1",
    "US20150317740A1",
    "US20150339913A1",
    "US20170103633A1",
    "US20160059059A1",
    "US10102589B1",
    "US10134092B1",
    "US9875509B1",
    "US9870448B1",
    "US20180239948A1",
    "US20180239982A1",
    "US10755357B1",
    "US10997663B1",
    "US10354386B1",
    "US10137984B1",
    "US20170301109A1",
    "US20170301220A1",
    "US20200143212A1",
    "US9823658B1",
    "US20180190132A1",
    "US9977963B1",
    "US20190051046A1",
    "US20190102623A1",
    "US20190176987A1",
    "US20200198122A1"
  ]
}

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