IP Library Granted Patent US 12,610,941
Granted Patent B2
US 12,610,941 · App. 18/565,649 · Granted Apr 28, 2026

Guided fence installation area derivation system through analysis of vulnerability to harmful birds and animals, and guided fence installation area derivation method using same

Inventors: Young Keun Song (Seoul, KR); Ji Hwan Kim (Jeju-si, KR); Hee Jung Sohn (Seoul, KR); Won Hyeop Shin (Siheung-si, KR); Do Hee Kim (Yongin-si, KR); Eun Hee Park (Goyang-si, KR)
Assignee: SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION
A01M29/32B64U20/80G03B15/006B64U10/13B64U2101/30B64U2101/32
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Quick Facts
Patent No.
US 12,610,941
App. No.
18/565,649
Granted
Apr 28, 2026
Kind
B2
Abstract

The present invention relates to a technology capable of efficiently deriving a place to install an induction fence intended for blocking the invasion of harmful birds and animals, wherein an optimal location may be calculated in such a manner as to calculate, with respect to animal species and inhabitant species shown in an area where the harmful birds and animals appear, an index for vulnerability based on image data and information resulting from analyzing environmental DNA, and to match LiDAR scanning data based on the vulnerability index.

Claims (62)

1 . A system of deriving an area to install an induction fence from an analysis of vulnerability of a target region for installing the induction fence, the system comprising:

an image data provision module configured to obtain image data of the target region for which the analysis of vulnerability to harmful birds and animal, and to transmit the image data to a harmful bird and animal-based vulnerability analysis module; and

the harmful bird and animal-based vulnerability analysis module configured to derive an appearance information of animal species, and topographical information of vegetation canopy structure from the image data transmitted from the image data provision module, and to calculate a vulnerability index to the harmful birds and animals,

wherein the calculation of the vulnerability index to the harmful birds and animals carried out by the bird and animal-based vulnerability analysis module is realized based on information resulting from an analysis of environmental DNA of the target region, and a land cover map and a land gradient information of the target region on the basis of the image data of the target region transmitted from the image data provision module.

2 . The system of claim 1 , wherein the image data provision module comprises:

a first module configured to receive image data captured by monitoring cameras installed on the ground in the target region;

a second module configured to provide image data captured in the skies of the target region and received from a pilotless airplane; and

a third module configured to receive and provide light detection and ranging (LIDAR) scanning data of the target region.

3 . The system of claim 2 , wherein the harmful bird and animal-based vulnerability analysis module comprises:

an animal species appearance information derivation part configured to derive data concerning-whether or not animal species appear in images, and a frequency in appearance by receiving the image data transmitted from the first module;

a detailed information derivation part configured to derive the land cover map and the land gradient information from the image data provided by the second module;

an environmental DNA analysis part configured to derive inhabitant species information that inhabit the target region from an environmental deoxyribonucleic acid (DNA) information collected in the target region; and

a topographical information derivation part configured to derive a vegetation canopy structure information, and a topographical structure from analyzing the LiDAR scanning data provided by the third module.

4 . The system of claim 3 , wherein the harmful bird and animal-based vulnerability analysis module further comprises a vulnerability index calculation part configured to calculate indices for an exposure level, a sensitivity level, and adaptability by providing each variable with a weighted value, the variables being based on data on a first piece of information including a frequency in appearance information derived by the animal species appearance information derivation part, a second piece of information including the land cover map and the land gradient information, and a feed source information derived by the detailed information derivation part, a third piece of information including an inhabitant species information derived by the environmental DNA analysis part.

5 . The system of claim 4 , wherein the vulnerability index calculation part calculates the vulnerability index through a program of realizing {Formula 1} below:

Vulnerability

Index

=

Exposure

Level

+

Sensitivity

Level

-

Adaptability

.

{

Formula

1

}

6 . The system of claim 5 , wherein the harmful bird and animal-based vulnerability analysis module further comprises an induction fence installation location determination part configured to derive a zone in the target region in which high vulnerability to the harmful birds and animals is calculated from the vegetation canopy structure information and the topographical structure provided by the topographical information derivation part.

7 . A method of deriving an area to install an induction fence from the analysis of vulnerability to harmful birds and animals, with respect to a method of deriving a location to install an induction fence using the system of deriving the area to install the induction fence from the analysis of the vulnerability to the harmful birds and animals according to claim 5 , the method comprising:

a first step in which an image data provision module collects information whether or not animal species appear in a target region, and appearance trends using a large number of monitoring cameras from the target region for which the analysis of the vulnerability to the harmful birds and animals;

a second step in which a harmful bird and animal-based vulnerability analysis module collects inhabitant species information that inhabit the target region by analyzing environmental DNA information based on a sample sampled in the target region;

a third step in which the image data provision module establishes a land cover map and a land gradient using image data obtained from photographing by a drone with respect to the target region, and collects a feed source information of animals;

a fourth step in which the image data provision module collects data on the canopy structure of vegetation and a topographical structure from LiDAR scanning data with respect to the target region; and

a fifth step of selecting a location to install the induction fence, by the harmful bird and animal-based vulnerability analysis module, based on calculating the vulnerability index based on the information obtained through the first step to the fourth step, and classifying a vulnerable area according to the vulnerability index.

8 . The method of claim 7 , wherein the first step to the fourth step are realized simultaneously or successively.

9 . The method of claim 8 , wherein the fifth step shows that the vulnerability index calculation part calculates the vulnerability index through a program of realizing {Formula 1} below:

Vulnerability

Index

=

Exposure

Level

+

Sensitivity

Level

-

Adaptability

.

{

Formula

1

}

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 30, 2023
From: SONG, YOUNG KEUN; KIM, JI HWAN; SOHN, HEE JUNG; SHIN, WON HYEOP; KIM, DO HEE; PARK, EUN HEE
To: SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION
Reel/Frame 065715/0344 →
Priority Claims (1)
KR 10-2021-0071063 · Jun 1, 2021 · national
Continuity (1)
Related Publication 20240276974A1 · Aug 22, 2024
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