KR20220111900A - Rescue system and method using drone - Google Patents

Abstract

Disclosed are a system and a method for a sufferer rescue using a drone. In accordance with the present invention, the system includes: a camera photographing a distress zone to generate image data, and including pre-stored coordinate information; a server receiving the image data and the coordinate information, and acquiring sufferer occurrence information based on the image data; and a drone receiving a control command from the server, and moving to the pre-stored coordinate information in accordance with the control command. The drone moves based on the pre-stored coordinate information to photograph the distress zone, locates the sufferer in the distress zone to acquire state information of the sufferer, and transmits the state information to the server. Therefore, the present invention is capable of more accurately determining whether a sufferer occurs by acquiring high-quality image data.

Description

Distress rescue system and method using drones {RESCUE SYSTEM AND METHOD USING DRONE}

The present invention relates to a system and method for rescue of a survivor using a drone. More particularly, it relates to a distress rescue system and method for recognizing a person in distress in a distress area through a drone, a camera, and a server and using a drone to rescue a person in distress in the distress area.

In the era of the Fourth Industrial Revolution, the drone-related industry, which refers to unmanned aerial vehicles (UVA), is emerging as a new industry that will lead the future.

Drones were developed for military use in the early 20th century and have performed military missions such as reconnaissance, surveillance, and bombing. Utilization is becoming common in a wide variety of fields such as collecting information by being put into difficult points (regions) or dangerous areas, shooting dramas and movies, and logistics and delivery.

In recent years, drones are not only used to overcome the limitations of existing surveying device methods for land, river, and facility inspection and surveying, but also use drones for various purposes by utilizing the mobility of drones. Recently, technologies for rescue of victims by utilizing the maneuverability of drones are being developed.

In particular, in the case of a mountain accident, it is often difficult to know the location of the shipwreck because of a tripping. Even if rescuers are dispatched, the so-called 'golden time' is often missed because it is difficult to know the location of the survivors. This is because, in general, a person who has fallen must report his/her location by directly reporting it. In the case of mountains, communication is difficult, so it is difficult for a person who has fallen who has fallen to report on their own, and if a person who has fallen unconscious loses consciousness, the reality is that it is very difficult to rescue without a target. Accordingly, there is a need for a system for more effectively knowing the location of a person in distress.

Republic of Korea Patent Publication No. 10-2200679 (Title of Invention: Distance Surveying Drone)

SUMMARY OF THE INVENTION It is an object of the present invention to provide a system and method that can more effectively rescue a lost person who has tripped in a mountain accident.

In addition, it is an object of the present invention to provide a system and method for increasing the survival probability of a survivor in a mountain accident by acquiring status information of the survivor through the drone and taking appropriate measures with the drone based on the manual according to the condition of the survivor. will be.

Another object of the present invention is to provide a system and method capable of more accurately measuring whether a person in distress occurs by securing clear image data when a camera is installed near a distress zone.

In order to solve the above problems, the present invention generates image data by photographing a distress zone, receives a camera including pre-stored coordinate information, the image data and coordinate information, and information on the occurrence of victims based on the image data and a drone that receives a control command from the server and receives a control command from the server, and moves to the pre-stored coordinate information according to the control command, wherein the drone moves based on the pre-stored coordinate information to photograph the distress zone and to find the person in distress in the distress zone, obtain status information of the person in distress, and transmit the status information to the server.

In addition, the drone includes a communication module for communicating with the server, a microphone and speaker for communication with the distressed person, a GPS module for measuring the position of the drone, and a column for generating thermal image data by photographing the distressed person and an image camera, and the communication module may transmit the thermal image data to the server.

Also, the server may receive the image data and the thermal image data, and obtain the state information based on the image data and the thermal image data.

Also, the server may obtain corresponding manual information for the distressed person based on the status information, and control the drone based on the corresponding manual information.

In addition, the camera may include a camera module for generating a video image from an optical image, and the camera module may include a housing including a through hole in a sidewall, a lens installed in the through hole, and a driving unit for driving the lens .

In addition, in order to solve the above-described problem, the present invention provides a method for rescue of a person in distress using a drone, comprising: receiving image data photographed in a distress zone and coordinate information for the distress zone; The method may include obtaining generation information, generating a control command to move the drone to the coordinate information, and controlling the drone to obtain state information of the distressed person.

In addition, in order to solve the above problems, the present invention provides a non-transitory computer-readable medium storing instructions, which, when executed by a processor, cause the processor to perform the above-described structure method. It may be a transitory computer readable medium.

According to the present invention, by synthesizing image data and thermal image data acquired through a camera and a drone to search for a person in distress, it is possible to more accurately determine whether a person in distress has occurred.

In addition, the present invention has the effect of further increasing the survival probability of the survivors by taking appropriate measures to the survivors through the drone.

In addition, the present invention has the effect of rescuing a person in distress from a mountain accident at a lower cost by using a server, a camera, and a drone.

In addition, the present invention installs a camera near the distress zone and acquires image data by using a lens including a coating layer to acquire image data of higher quality, so that it is possible to more accurately determine whether a person in distress has occurred. .

The effects obtainable according to the present invention are not limited to the above-mentioned effects, and other effects not mentioned may be clearly understood by those of ordinary skill in the art to which this specification belongs from the description below. will be.

1 is a view showing a rescue system for survivors using a drone according to the present invention.
2 is a view showing a camera according to the present invention.
3 and 4 are views showing a drone according to the present invention.
5 is a view showing a rescue method for a survivor according to the present invention.
BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are included as a part of the detailed description to help the understanding of the present specification, provide embodiments of the present specification, and together with the detailed description, explain the technical features of the present specification.

Hereinafter, the embodiments disclosed in the present specification will be described in detail with reference to the accompanying drawings, but the same or similar components are assigned the same reference numerals regardless of reference numerals, and redundant description thereof will be omitted.

In addition, in describing the embodiments disclosed in the present specification, if it is determined that detailed descriptions of related known technologies may obscure the gist of the embodiments disclosed in this specification, the detailed description thereof will be omitted.

In addition, the accompanying drawings are only for easy understanding of the embodiments disclosed in this specification, and the technical idea disclosed herein is not limited by the accompanying drawings, and all changes included in the spirit and scope of the present invention , should be understood to include equivalents or substitutes.

Terms including ordinal numbers such as first, second, etc. may be used to describe various elements, but the elements are not limited by the terms. The above terms are used only for the purpose of distinguishing one component from another.

The singular expression includes the plural expression unless the context clearly dictates otherwise.

In the present application, terms such as “comprises” or “have” are intended to designate that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, but one or more other features It is to be understood that this does not preclude the possibility of the presence or addition of numbers, steps, operations, components, parts, or combinations thereof.

Hereinafter, based on the above-mentioned contents, a detailed description will be given of a rescue system for a survivor using a drone according to a preferred embodiment of the present specification.

1 is a view showing a rescue system for a survivor using a drone according to the present invention.

Referring to FIG. 1 , a system 130 according to the present invention may include a drone 133 , a server 131 , and a camera 132 . The server 131 may exchange data with the drone 133 and the camera 132 through communication. The server 131 may wirelessly communicate with the drone 133 , and may wirelessly or wiredly communicate with the camera 132 . The server 131 may receive image data from the camera 132 and transmit control data for controlling the camera 132 . The server 131 may receive various information such as image data and location data from the drone 133 , and transmit control data for controlling the drone 133 .

According to FIG. 1 , a camera 132 according to the present invention may photograph a distress zone A2 . The distress zone A2 may mean an area other than the safety zone. The distress zone A2 may mean an area photographed by the camera 132 . The distress zone A2 is an outer zone outside the hiking trail, etc., and may collectively refer to an area that is not suitable for people, such as hikers, to travel. The distress zone A2 may be designated in advance in consideration of the movement of the climber, etc., and the presence of the climber in the distress zone A2 may be defined as that the climber is in distress.

Referring to FIG. 1 , the safe zone may collectively refer to a zone suitable for hikers and the like to travel. Accordingly, the camera 132 may not photograph the safe area.

The camera 132 may generate image data by photographing the distress zone A2, and may include coordinate information stored in advance. The coordinate information may indicate a location where the camera 132 is installed or may be information indicating a location where the camera 132 shoots.

The server 131 may receive the captured image data and coordinate information from the camera 132 , and may acquire the distress occurrence information by detecting whether a survivor has occurred based on the received image data. In this case, the server 131 may utilize a vision recognition technology. The server 131 may store the identity information of the distressed in advance, and detect the distressed person included in the image data based on the previously stored identity information.

The server 131 may recognize a person in distress located in the distress zone A2 without previously stored identity information. The server 131 may detect the movement of the person in distress in the distress area A2, and if the person in distress does not move for a predetermined time, it may detect that the person is in distress.

When a distress state is detected, the server 131 may transmit coordinate information stored in the camera 132 to the drone 133 and move the drone 133 to the corresponding coordinate information. The drone 133 may move to a location indicated by the corresponding coordinate information and obtain detailed state information of the person in distress in the distress area A2.

The drone 133 moves based on the coordinate information to take a picture of the distress area A2, finds the distressed person in the distress zone A2, obtains the status information of the person in distress, and transmits the acquired status information to the server 131 can

The drone 133 may use a vision recognition technology to find a survivor. However, since the power of the drone 133 is limited, it is possible to find a survivor by using the vision recognition rough.

Also, the drone 133 may find a survivor through the thermal imaging camera 1332 . Since the body temperature of a person is generally around 36.5 degrees Celsius, it is possible to find a survivor based on this. However, in the case of a cold season, the body temperature may be rapidly lowered due to hypothermia, and thus the reference temperature may be set differently depending on the season.

The drone 133 may find a survivor through the thermal imaging camera 1332 , and transmit an image photographed by the person in distress to the server 131 . The server 131 may classify whether the survivor is a wild animal or a human by using a vision recognition technology. When the person in distress is classified as a person, the server 131 may control the drone 133 to obtain information on whether or not the person is conscious. The detailed method will be described later.

2 is a view showing a camera according to the present invention.

According to FIG. 2 , the camera 132 of the present invention may include a camera module 1320 . The camera module 1320 may generate a video image from the optical image. The mamera module 1320 may generate an image image by receiving an optical image and converting it into image data. The camera module 1320 may further include a housing including a through hole in a sidewall, a lens 1321 installed in the through hole, and a driving unit 1323 for driving the lens 1321 . The through hole may be formed to have a size corresponding to the diameter of the lens 1321 . The lens 1321 may be inserted into the through hole.

The driving unit 1323 may be configured to control the lens 1321 to move forward or backward. The lens 1321 and the driving unit 1323 may be connected in a conventionally known manner, and the lens 1321 may be controlled by the driving unit 1323 in a conventionally known manner.

In order to obtain various video images, the lens 1321 needs to be exposed to the outside of the camera module 1320 or the housing.

In particular, the camera 132 according to the present invention has to be installed outside because the distress zone (A2 in Fig. 1, hereinafter the same) must be taken directly, and an engineer enters the distress zone A2 every time to check the camera 132. It can be difficult. In addition, since the camera 132 located in the distress zone A2 may be vulnerable to contaminants such as soil and sand, special protection of a lens exposed to the outside of the housing is required in order to take an image. Therefore, the present invention is to solve this problem by proposing a coating layer for coating the lens.

Preferably, the lens 1321 may include an acrylic compound represented by the following Chemical Formula 1 on its surface; It may be coated with a coating composition containing an organic solvent, inorganic particles and a dispersing agent.

[Formula 1]

here,

n and m are the same as or different from each other, and are each independently an integer from 1 to 100,

L ₁ is a biphenylene group.

When the lens 1321 is coated with the coating composition, it can exhibit excellent water repellency and stain resistance, so even if the lens 1321 installed outside the vehicle is exposed to a polluted environment for a long time, images or images that can be used as road information are collected. can do.

The inorganic particles may be selected from the group consisting of silica, alumina, and mixtures thereof. The average diameter of the inorganic particles is 70 to 100 μm, but is not limited to the above example. After the inorganic particles are formed as a coating layer 1322 on the surface of the lens 1321 , physical strength may be improved, and the viscosity may be maintained within a certain range to increase moldability.

The organic solvent is selected from the group consisting of methyl ethyl ketone (MEK), toluene, and mixtures thereof, and preferably methyl ethyl ketone may be used, but is not limited thereto.

As the dispersant, a polyester-based dispersant may be used, and specifically, as a polyester-based dispersion stabilizer composed of a copolymer of 2-methoxypropyl acetate and 1-methoxy-2-propyl acetate, TEGO-Disperse 670 (manufacturer : EVONIK), but is not limited to the above examples and any dispersing agent apparent to those skilled in the art can be used without limitation.

The coating composition may further include a stabilizer as other additives, and the stabilizer may include a UV absorber, an antioxidant, etc., but is not limited to the above examples and may be used without limitation.

For forming the coating layer 1322, the coating composition may include an acrylic compound represented by Chemical Formula 1; organic solvents, inorganic particles and dispersants.

The coating composition may include 40 to 60 parts by weight of the acrylic compound represented by Chemical Formula 1, 20 to 40 parts by weight of inorganic particles, and 5 to 15 parts by weight of a dispersant based on 100 parts by weight of the organic solvent. In the case of the above range, a synergistic effect is expressed to the extent that the water repellency effect due to the interaction of each component has a critical significance, and when it is out of the above range, the synergistic effect is rapidly reduced or almost absent.

More preferably, the viscosity of the coating composition is 1500 to 1800 cP, and when the viscosity is less than 1500 cP, when applied to the surface of the lens 1321, it flows down and the formation of the coating layer 1322 is not easy, and it exceeds 1800 cP In this case, there is a problem in that the formation of a uniform coating layer 1322 is not easy.

[Preparation Example 1: Preparation of coating layer]

1. Preparation of coating composition

A coating composition was prepared by mixing the acrylic compound represented by the following formula (1), inorganic particles and a dispersing agent in methyl ethyl ketone:

[Formula 1]

here,

n and m are the same as or different from each other, and are each independently an integer from 1 to 100,

L ₁ is a biphenylene group.

A more specific composition of the antistatic composition is shown in Table 1 below.

TX1 TX2 TX3 TX4 TX5 organic solvent 100 100 100 100 100 acrylic compound 30 40 50 60 70 inorganic particles 10 20 30 40 50 dispersant One 5 10 15 20

(unit parts by weight)

2. Preparation of coating layer

The coating composition of DX1 to DX5 was applied to one surface of the lens 1321 and cured to form a coating layer 1322 .

[Experimental example]

1. Evaluation of surface appearance

Due to the viscosity difference of the coating composition, after the coating layer 1322 was prepared, a sensory evaluation was performed as to whether a uniform surface was formed. Whether or not a uniform coating layer 1322 was formed was evaluated, and evaluation was performed according to the following criteria.

○: uniform coating layer formation

×: Formation of a non-uniform coating layer

TX1 TX2 TX3 TX4 TX5 sensory evaluation Х ○ ○ ○ Х

When the coating layer 1322 is formed, if the viscosity is less than a certain level, a flow occurs on the surface of the lens 1321 , so that it is difficult to form a uniform coating layer 1322 after the curing process. Accordingly, there may be a problem in that the production yield is lowered. In addition, even when the viscosity is too high, it is difficult to uniformly apply the composition to form a uniform coating layer 1322 .

2. Measurement of water repellency angle

After forming the coating layer 1322 on the surface of the lens 1321, the results of measuring the water repellency angle are shown in Table 3 below.

)advancing contact angle (

) stop contact angle (

) receding contact angle (

) TX1 117.1±2.9 112.1±4.1 < 10 TX2 132.4±1.5 131.5±2.7 141.7±3.4 TX3 138.9±3.0 138.9±2.7 139.8±3.7 TX4 136.9±2.0 135.6±2.6 140.4±3.4 TX5 116.9±0.7 115.4±3.0 < 10

As shown in Table 3, after forming the coating layer 1322 using the coating composition of TX1 to TX5, the result of measuring the contact angle was confirmed. For TX1 and TX5, the receding contact angle was measured to be less than 10 degrees. That is, when it is out of the optimal range for preparing the coating composition, it was confirmed that a phenomenon in which water droplets are pinning occurs. On the other hand, it was confirmed that the peening phenomenon did not occur in TX2 to 4, thereby exhibiting an excellent waterproof effect.

3. Pollution resistance evaluation

The lens 1321 having the coating layer 1322 formed according to the embodiment on the outside of the facility was attached to the model camera, and exposed to the driving environment on a general road for 4 days. As the comparative example (Con), the same lens 1321 on which the coating layer 1322 was not formed was used, and in each embodiment, the model camera was attached to the same position of the vehicle.

Thereafter, the degree of contamination of the lens 1321 before and after the experiment was evaluated as related, and for objective comparison, the result was evaluated as an index of 1 to 10 in comparison with the comparative example in which the coating layer 1322 was not formed. shown in In the following index, the lower the number, the better the stain resistance.

Con TX1 TX2 TX3 TX4 TX5 stain resistance 10 7 3 3 3 8

(Unit: Index)

Referring to Table 4, when the coating layer 1322 is formed on the lens 1321, the high contamination resistance is easily analyzed for a long period of time even when the lens 1321 is exposed to the outside while the camera is installed in an external environment. It can be seen that image data can be collected. In particular, in the case of TX2 to TX4, it can be seen that the stain resistance by the coating layer 1322 is very excellent.

3 and 4 are views showing a drone according to the present invention.

According to FIG. 3 , a drone 133 according to the present invention includes a communication module 1331 , a thermal imaging camera 1332 , a GPS module 1333 , a microphone 1334 , and a speaker 1335 , and controls the corresponding configurations. It may further include a processor 1336 and a memory 1337 for doing so.

The communication module 1331 may be configured to communicate with the server 131 . The thermal imaging camera 1332 may be configured to find a survivor. The GPS module 1333 may be configured to detect the current location of the drone 133 . The microphone 1334 and the speaker 1335 may be configured to communicate with a person in distress. The processor 1336 may be a configuration for controlling the aforementioned configurations. The processor 1336 may control the above-described configurations based on instructions stored in the memory 1337 . The thermal imaging camera 1332 may generate thermal image data by photographing a person in distress. The communication module 1331 may transmit the generated thermal image data to the server 131 .

In the case of the communication module 1331 , information is transmitted and received with a base station or a server 131 including a communication function through an antenna. The communication module 1331 may include a modulator, a demodulator, a signal processor, and the like.

Wireless communication may refer to communication using a communication facility installed by telecommunication companies and a wireless communication network using a frequency of the communication facility. At this time, the communication module 1331 is CDMA (code division multiple access), FDMA (frequency division multiple access), TDMA (time division multiple access), OFDMA (orthogonal frequency division multiple access), SC-FDMA (single carrier frequency division multiple) access), etc., may be used in various wireless communication systems, and the communication module 1331 may also be used in 3rd generation partnership project (3GPP), long term evolution (LTE), and the like. In addition, not only 5G communication that is being commercialized recently, but also 6G, which is scheduled to be commercialized in the future, may be used. However, in the present specification, a pre-installed communication network may be utilized without being limited by such a wireless communication method.

The processor 1336 is a component capable of performing calculations and controlling other devices. Mainly, it may mean a central processing unit (CPU), an application processor (AP), a graphics processing unit (GPU), or the like. In addition, the CPU, AP, or GPU may include one or more cores therein, and the CPU, AP, or GPU may operate using an operating voltage and a clock signal. However, a CPU or AP may consist of a few cores optimized for serial processing, whereas a GPU may consist of thousands of smaller and more efficient cores designed for parallel processing.

The processor 1336 may provide or process appropriate information or functions to the user by processing signals, data, information, etc. input or output through the above-described components or by driving an application program stored in the memory 1337 .

The memory 1337 stores data supporting various functions of the drone 133 . The memory 1337 may store a plurality of application programs (or applications) driven by the drone 133 , data for operation of the drone 133 , and commands. At least some of these application programs may be downloaded from an external server through wireless communication. Also, the application program may be stored in the memory 1337 , installed on the drone 133 , and driven by the processor 1336 to perform an operation (or function) of the drone 133 .

The memory 1337 is a flash memory type, a hard disk type, a solid state disk type (SSD), a silicon disk drive type (SDD), and a multimedia card micro type. ), card-type memory (such as SD or XD memory), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read (EEPROM) -only memory), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, and an optical disk may include at least one type of storage medium. Also, the memory 1337 may include a web storage that performs a storage function on the Internet.

1 and 3 , the server 131 obtains status information of the survivor based on the image data received from the camera 132 and the thermal image data received from the thermal imager 1332 of the drone 133 . can do. The server 131 obtains information on whether the victim is bleeding or not based on the image data, and obtains information on the body temperature of the victim based on the thermal image data to obtain information on whether or not hypothermia is present. .

The server 131 may increase the recognition rate of a person in distress by applying a vision recognition technology to each of the image data and the thermal image data. For example, when the server 131 searches for a person in distress only with image data, an object that looks similar to a person may be mistaken for a person in distress. Conversely, when the server 131 searches for a person in distress only with the thermal image data, it may mistake a tree or object heated during the day as a person in distress. Accordingly, the server 131 may acquire information on the existence of a person in distress by synthesizing the result of vision recognition of the image data and the thermal image data. That is, when both the vision recognition result based on the image data and the vision recognition result based on the thermal image data are the survivors, the server 131 may determine that a person in distress exists.

The server 131 may acquire corresponding manual information for the distressed person based on the acquired state information. The status information may include information on whether the person in distress has hypothermia, whether he is unconscious, and whether he can move.

Since hypothermia means a state in which the body temperature has dropped to 35 degrees or less, the server 131, based on the thermal image data, defines the survivor as a hypothermic state if the body temperature of the survivor has fallen to 35 degrees or less based on the thermal image data, and related to hypothermia. Thus, the corresponding manual information stored in advance can be loaded from a storage device (or an external server).

The server 131 reproduces a predetermined phrase through the speaker 1335 of the drone 133 and receives the feedback of the victim through the microphone 1334 of the drone 133 to obtain information on whether the victim is unconscious. can do. When there is no feedback from the distressed in the microphone 1334 of the drone 133 or the feedback of the distressed is not a predetermined feedback, the server 131 may define the distressed person as an unconscious state.

For example, if the predetermined phrase is 'If you hear this sound, please answer "yes", the distressed feedback is set to 'yes', and the server 131 analyzes the distressed feedback to determine whether it is 'yes'. can sense When it is sensed that 'yes' is included in the feedback of the distressed, the server 131 may define the distressed as a state of being conscious and load corresponding manual information. In this case, the response manual information may include content that reproduces a phrase reassuring the distressed person, reproduces a phrase inducing feedback of the shipwreck so that the shipper does not lose consciousness, and waits for rescuers to arrive.

Conversely, if it is sensed that 'yes' is not included in the feedback of the distressed, the server 131 may define the distressed as an unconscious state and load corresponding manual information. In this case, the corresponding manual information may include content that increases the sensitivity of the microphone 1334 of the drone 133 to obtain breathing information of the survivor and transmits it to the server 131 .

According to FIG. 4 , the drone 133 connects the thermal imaging camera 1332 , the body 1339a , the wing 1338 , the leg 1337 and the thermal imaging camera 1332 to the body 1339a. A connection part 1339b may be included.

The main body 1339a may be configured to include components necessary for driving the drone 133 therein. Specifically, the configuration of the communication module 1331 , the GPS module 1333 , the processor 1336 , and the memory 1337 of FIG. 3 may be included in the main body 1339a. In addition, the body portion 1339a may include a battery therein.

The wing unit 1338 is configured to generate a propulsive force for driving the drone 133 , and the drone 133 may include a plurality of wing units 1338 . The wing 1338 may include a propeller and an electric motor driving the propeller. The plurality of wing parts 1338 included in the drone 133 may be an even number, and the corresponding wing parts 1338 may rotate the propeller in opposite directions.

When the drone 133 is landed, the leg unit 1337 is configured to support the drone 133 on the floor, and a plurality of leg parts 1337 may be provided for stability. The connection part 1339b is a configuration for connecting the thermal imaging camera 1332 to the body part 1339a and may include a wiring therein. In addition, the power of the battery may be transmitted to the thermal imaging camera 1332 through the wiring. In addition, the power of the battery may also be transmitted to the electric motor of the wing portion 1338 .

In addition, the drone 133 may further include a general optical camera as well as a thermal imaging camera 1332 . The drone 133 may use the optical camera to capture the surrounding terrain of the coordinates of the distressed person, and transmit it to the server (131 in FIG. 1, hereinafter the same). The server 131 may assist rescue workers in their rescue activities by transmitting an image of the surrounding terrain to a terminal provided by the rescuers.

Also, the drone 133 may further include an auxiliary light. The drone 133 may secure the view of the victim by illuminating the auxiliary light around the victim. In addition, the drone 133 may further include a heart rate sensor. Accordingly, the drone 133 may sense the heartbeat of the victim by using the heartbeat sensor.

Hereinafter, based on the above-mentioned contents, a method for rescue of a survivor using a drone according to another preferred embodiment of the present specification will be described in detail as follows.

In addition, the subject performing the method of rescue using a drone according to the present invention may be a server according to an embodiment of the present invention. In addition, in the description of the method for rescue of a survivor according to the present invention, the same or overlapping description of the system described above may be omitted.

5 is a view showing a rescue method for a survivor according to the present invention.

According to Figure 5, in the present invention, in the method of rescue using a drone, receiving image data photographed in a distress area and coordinate information on the distress area (S1100), based on the received image data, information on the occurrence of distress It may include obtaining (S1200), generating a control command to move the drone to the received coordinate information (S1300), and controlling the drone to obtain status information of the distressed (S1400).

Acquiring the distress occurrence information based on the received image data ( S1200 ) may include acquiring the distress occurrence information based on the thermal image data received from the drone as well as the image data.

In addition, the distress rescue method according to the present invention may further include loading corresponding manual information based on the obtained status information (S1500) and controlling the drone based on the loaded corresponding manual information (S1600). .

The operation of the server in each step described above is the same as the description in the system according to an embodiment of the present invention, and thus is omitted.

The present invention described above can be modeled as computer readable code on a medium in which a program is recorded. The computer-readable medium includes all types of recording devices in which data readable by a computer system is stored. Examples of computer-readable media include Hard Disk Drive (HDD), Solid State Disk (SSD), Silicon Disk Drive (SDD), ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage device, etc. It also includes modeling in the form of a carrier wave (eg, transmission over the Internet). Accordingly, the above detailed description should not be construed as restrictive in all respects but as exemplary. The scope of this specification should be determined by a reasonable interpretation of the appended claims, and all modifications within the equivalent scope of this specification are included in the scope of this specification.

Any or other embodiments of the present invention described above are not mutually exclusive or distinct. Any of the above-described embodiments or other embodiments of the present invention may be combined or combined with each configuration or function.

The above detailed description should not be construed as restrictive in all respects and should be considered as illustrative. The scope of the present invention should be determined by a reasonable interpretation of the appended claims, and all modifications within the equivalent scope of the present invention are included in the scope of the present invention.

130: system
131: server
132; camera
133: drone
A1: Safe Zone
A2: Distress Area

Claims (7)

a camera that generates image data by photographing a distress zone, and includes coordinate information stored in advance;
a server for receiving the image data and coordinate information, and obtaining distress occurrence information based on the image data; and
A drone that receives a control command from the server and moves to the pre-stored coordinate information according to the control command; includes,
The drone is
A person in distress using a drone, which moves based on the pre-stored coordinate information to photograph the distress area, finds the distressed person in the distress zone, acquires the status information of the distressed, and transmits the status information to the server rescue system.
According to claim 1,
The drone is
a communication module for communicating with the server;
a microphone and a speaker for communication with the distressed person;
a GPS module for measuring the position of the drone; and
Including; a thermal imaging camera that generates thermal image data by photographing the survivors,
The communication module is
A rescue system using a drone that transmits the thermal image data to the server.
3. The method of claim 2,
The server is
Receiving the image data and the thermal image data, and obtaining the state information based on the image data and the thermal image data, a rescue system using a drone.
4. The method of claim 3,
The server is
A rescue system using a drone to obtain corresponding manual information for the distressed person based on the status information, and to control the drone based on the corresponding manual information.
According to claim 1,
The camera is
A camera module that generates the image data from an optical image;
The camera module,
a housing including a through hole in the side wall;
a lens installed in the through hole; and
A driving unit for driving the lens; comprising, a rescue system using a drone.
In the method of rescue of a shipwreck using a drone,
Receiving image data of the distress zone and coordinate information for the distress zone;
obtaining information on the occurrence of survivors based on the image data;
generating a control command to move the drone to the coordinate information; and
Controlling the drone to obtain status information of the survivor; including, a method for rescue of a survivor using a drone.
A non-transitory computer-readable medium having stored thereon instructions, comprising:
The non-transitory computer-readable medium, wherein the instructions, when executed by a processor, cause the processor to perform the method of claim 6 .

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