KR102236965B1 - Remote travel support device using drone - Google Patents

Abstract

The present invention relates to a remote travel support device using a drone, and more particularly, relates to a remote travel support device using a drone that provides a travel course in a specific country desired by a user, and remotely controls the movement of the drone through a body motion interface using artificial intelligence deep learning technology to allow a user to appreciate the surrounding travel scenery photographed by the drone. Through the present invention, a more realistic travel is provided because the traveler (user) instead of the drone operator operates the drone at a remote location using a body motion. The remote travel support device includes a travel course management server, a drone,, a drone controller, a traveler terminal, and a rover.

Description

Remote travel support device using drone}

The present invention relates to a remote travel support device using a drone, and more particularly, provides a travel course for a specific country desired by a user, and controls the movement of a drone through a body motion interface using artificial intelligence deep learning technology. Thus, it relates to a remote travel support device using a drone that enables a user to enjoy the surrounding travel landscape photographed by a drone.

Motion recognition-based interaction technologies have begun to be commercialized in virtual reality and games, and are spreading to various product fields such as TV.

In addition, with the popularization of 3D technology, it is being applied as a variety of interactive experience technologies in the home entertainment industry.

Motion-experience-type contents that can maximize the sense of life and realism are also being developed by fusion of 3D images and interaction technologies that allow users to view 3D contents in the same way as they are in the real world.

In other words, the development of experience-type content in fields such as sports, games, entertainment, and education is underway using a motion tracking-based three-dimensional or 360-degree viewing interface through which a user can directly interact with a virtual object.

However, technology development is focused only on allowing the user's motion tracking to be reflected in the content, and development for providing services in a more diverse sports environment is lacking.

On the other hand, people prepare for a trip with the anticipation of a break in life or to experience a new area.

In particular, economic margins have increased with the improvement of economic development and living standards, the frequency of travel to domestic or overseas is increasing every year, and the range of travel areas is gradually expanding.

Travelers have to decide the appropriate time and destination to visit in order to travel to a new place, but choosing a destination far away from the current place in busy daily life is not an easy task due to time conditions.

In particular, if the destination you want to visit is a dangerous area such as a superb view or a rugged mountain of geography, even if time conditions allow and you visit in person, you will have to look at only some areas from a distance due to the risk factors.

In addition, if the place to travel is a well-known attraction in a limited area, for example, a limited space such as an art gallery, the virtual travel service disclosed in Korean Patent Application Publication No. 10-2016-0096281 may be used, but this is a fixed course provided by the system. It stays at the level of unilateral viewing of the bay.

In addition, Google Maps, which are currently being serviced on the Internet, provides data such as photos and videos of specific buildings and attractions uploaded by travelers in addition to simple map data, which can meet the needs of travelers to some extent, but vast amounts of data. Depending on the amount, the screen update speed is significantly slow, there is a limitation on the viewpoint of the video to be provided, and there is a limitation in feeling the feeling of leaving the actual travel by freely moving to the desired travel destination.

Therefore, it is possible to feel the feeling of going on an actual trip while traveling through a specific travel course of the country where you want to travel in a specific country through a drone, and without using a drone controller, which is difficult to manipulate the drone control, it recognizes the user's motion. Through this, a technology that allows users to enjoy travel while freely moving the desired travel course by controlling the drone was proposed.

Republic of Korea Patent Publication No. 10-2016-0043705 (2016.04.22) Republic of Korea Patent Publication No. 10-2016-0096281 (2016.08.16)

Accordingly, the present invention has been proposed in consideration of the problems of the prior art as described above, and an object of the present invention is to provide a travel course for a specific country desired by the user, and use artificial intelligence deep learning technology to provide a drone through a body motion interface. The purpose is to control the movement from a remote location so that the user can enjoy the surrounding travel scene photographed by the drone.

Another object of the present invention is to enable real-time control of a drone's vertical movement, stop, and speed through a body motion interface using artificial intelligence deep learning technology.

Another object of the present invention is to allow a user to freely view the surrounding scenery within a set distance range in a predetermined travel course by adding a degree of freedom by modifying a travel course provided by default.

In order to achieve the problem to be solved by the present invention, a remote travel support apparatus using a drone according to an embodiment of the present invention,

A travel course management server 100 for storing travel course information and providing travel course information selected by the traveler terminal to the traveler terminal,

A drone 200 that photographs the travel course and transmits it to a traveler's terminal, and moves up, down, left and right under the control of a drone controller,

A drone controller 300 for remotely controlling a drone by acquiring drone control information of a traveler's terminal,

By analyzing user actions through the camera 410, drone control information including movement, stop, and speed increase/decrease information is provided to the drone controller, and drone control subtitles are provided through the display panel 420, and the travel course provided by the drone By including the traveler terminal 400 for outputting the surrounding landscape information on the screen, the problem of the present invention is solved.

A remote travel support device using a drone according to the present invention having the above configuration and action,

A drone tour that provides a travel course for a specific country that the user wants, and uses artificial intelligence deep learning technology to control the movement of the drone from a remote location through the body motion interface so that the user can enjoy the surrounding travel landscape photographed by the drone. Service will be provided.

That is, the traveler (user) operates the drone at a remote location using body motion, not by the drone operator, thereby providing a more realistic effect of the trip.

In addition, by using artificial intelligence deep learning technology, the drone's vertical movement, stop, and speed can be controlled in real time through the body motion interface, eliminating the inconvenience of pressing the operation button to control the drone. It provides the convenience of controlling the drone with only the movement of the user who enjoys the travel service.

Specifically, with the advancement of digital wireless communication and imaging technology and the rapid development of artificial intelligence, remote control operations performed by humans are made possible by computer learning of the server with artificial intelligence in real time with the camera for the user's gestures. This will provide the effect of controlling the movement, stop, and speed of the drone in real time with only the human body gesture information.

In addition, the user can modify the basically provided travel course and add a degree of freedom to provide an effect of allowing the user to freely see the surrounding scenery within a set distance range in the determined travel course.

In addition, a user can design a travel course in advance and select only a place he or she wants to see, thereby providing an effect of enjoying the travel.

1 is a schematic configuration diagram of a remote travel support apparatus using a drone according to an embodiment of the present invention.
2 is an exemplary diagram of setting points when selecting a travel course of a remote travel support apparatus using a drone according to an embodiment of the present invention.
3 is an exemplary view in which altitude, location, and speed are set according to points of a remote travel support apparatus using a drone according to an embodiment of the present invention.
4 is an exemplary view in which a travel course screen is output to a traveler terminal of a remote travel support apparatus using a drone according to an embodiment of the present invention.
5 is an exemplary diagram illustrating commands for each user pose of a remote travel support apparatus using a drone according to an embodiment of the present invention.
6 is an exemplary view showing points of human body parts of a remote travel support apparatus using a drone according to an embodiment of the present invention.
7 is a photograph of a face, a body, and a hand by finding a face, a body, and a hand using computer vision technology of artificial intelligence in a captured image of a remote travel support device using a drone according to an embodiment of the present invention, It is an example diagram of coordinated.

Hereinafter, since the present invention can apply various transformations and can have various embodiments, specific embodiments will be illustrated in the drawings and described in detail.

However, this is not intended to limit the present invention to a specific embodiment, it should be understood to include all conversions, equivalents, and substitutes included in the spirit and scope of the present invention.

The present embodiments are provided to explain the present invention in more detail to those of ordinary skill in the art to which the present invention pertains.

Therefore, the shape of each element shown in the drawings may be exaggerated in order to emphasize a more clear description, and in describing the present invention, when it is determined that a detailed description of a related known technology may obscure the gist of the present invention, the Detailed description is omitted.

Terms such as first and second may be used to describe various components, but the components should not be limited by terms.

The terms are used only for the purpose of distinguishing one component from other components.

The terms used in the present invention are used only to describe specific embodiments, and are not intended to limit the present invention.

Singular expressions include plural expressions unless the context clearly indicates otherwise.

In the present invention, terms such as "comprise" or "have" are intended to designate the presence of features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, but one or more other features. It is to be understood that the presence or addition of elements or numbers, steps, actions, components, parts, or combinations thereof does not preclude in advance.

A remote travel support apparatus using a drone according to an embodiment of the present invention,

A travel course management server 100 for storing travel course information and providing travel course information selected by the traveler terminal to the traveler terminal,

A drone 200 that photographs the travel course and transmits it to a traveler's terminal, and moves up, down, left and right under the control of a drone controller,

A drone controller 300 for remotely controlling a drone by acquiring drone control information of a traveler's terminal,

By analyzing user actions through the camera 410, drone control information including movement, stop, and speed increase/decrease information is provided to the drone controller, and drone control subtitles are provided through the display panel 420, and the travel course provided by the drone It characterized in that it is configured to include a traveler terminal 400 for outputting the surrounding landscape information on the screen.

At this time, according to an additional aspect, as a balloon-type drone filled with helium or hydrogen gas and floating in the air, it performs GPS position correction of the drone, and includes a wireless charging function so that the drone can perform wireless charging in an emergency. , When the drone is located in a communication degradation area, it is characterized in that it is configured to further include a rover 500 for resolving communication inability by performing communication of the drone.

At this time, according to another additional aspect, the course program is mounted, and the travel course is set using the course program, but the point setting page is provided to set the point, and the altitude setting, location setting, and speed setting are set according to the point. It characterized in that it is configured to further include a drone travel course design device 600 to perform.

Hereinafter, it will be described in detail through an embodiment of a remote travel support device using a drone according to the present invention.

1 is a schematic configuration diagram of a remote travel support apparatus using a drone according to an embodiment of the present invention.

As shown in Figure 1, the remote travel support device using a drone according to an embodiment of the present invention includes a travel course management server 100, a drone 200, a drone controller 300, a traveler terminal 400 It will be composed.

Specifically, the travel course management server 100 stores travel course information and performs a function of providing travel course information selected by the traveler terminal to the traveler terminal.

As shown in FIG. 3, when a traveler exists in the United States and the country to travel to is located in Korea, the travel course information for Mt. Seorak is stored, and when the traveler selects Mt. Seorak, the traveler takes a tour of Mt. Seorak. It is printed on the terminal.

The travel course information for each point includes parameter information such as latitude, longitude, height, right angle, and speed.

The drone 200 photographs the periphery of the travel course and transmits it to the traveler's terminal, and provides a function of moving up, down, left and right under the control of a drone controller.

In order to provide the above functions, the drone,

A camera unit for photographing a subject in the direction of travel and the surrounding landscape in the travel course; And

A wireless communication unit for transmitting image information captured through the camera unit to a traveler's terminal; and

A battery power monitoring unit for monitoring battery power and transmitting information on a corresponding power shortage to the traveler's terminal when a power less than the set level is detected; And

A peer communication unit for transmitting current location information to a traveler terminal by performing communication between nearby drones or a rover; And

It is configured to include a travel course storage unit that stores altitude, location, and speed parameters of the travel course provided by the drone controller and location information of the rover.

Specifically, when a subject in the travel course and the surrounding landscape in the travel course is photographed through the camera unit, the photographed image information is transmitted to the traveler's terminal through the wireless communication unit.

Accordingly, as shown in FIG. 4, the traveler terminal can check the surrounding landscape and the subject in the travel direction within the travel course provided by the drone through the screen.

In addition, the battery power monitoring unit monitors the battery power, and when a power less than the set level is detected, the corresponding power shortage information is transmitted to the traveler's terminal.

That is, when the set power threshold is 30%, when the remaining power falls below 30%, the power shortage information is transmitted to the traveler's terminal so that the current state of the power of the drone can be checked at a remote location.

At this time, according to an additional aspect, the remote travel support apparatus using a drone according to the present invention,

As a balloon-type drone filled with helium or hydrogen gas and floating in the air, it performs the GPS position correction of the drone, and includes a wireless charging function to enable the drone to perform wireless charging in an emergency, and the drone is located in a communication degradation area. If so, it may be configured to further include a rover 500 for solving communication inability by performing communication of the drone.

Therefore, when the power of the drone cannot complete the travel course for moving, the traveler terminal transmits a charging request signal to the rover, and when the drone obtains this, the location information of the rover is transmitted from the travel course storage unit. It is configured to further include a; rover location check unit for performing the drone control to the extracted location.

By configuring the rover location check unit, the power shortage phenomenon of the drone is solved so that the travel course can be completed without problems.

At this time, the peer communication unit transmits the current location information to the traveler's terminal by performing communication between the neighboring drones or the rover.

Therefore, the rover position check unit configured in the drone analyzes the current position of the drone and the position of the rover through the peer communication unit, secures the altitude and position to reach the rover, and transmits the drone control signal to the drone controller according to the control of the drone controller. You will be moved to the rover.

Meanwhile, the rover 500 is a balloon-type drone filled with helium or hydrogen gas and floating in the air, and performs GPS position correction of the drone, and includes a wireless charging function so that the drone can perform wireless charging in an emergency. If the drone is located in a communication deterioration area, it performs a function to solve the communication failure by performing communication of the drone.

In other words, by performing the position correction of the drone through the rover, it is possible to accurately determine the current position of the drone.

In addition, in order to provide a wireless charging function, a dock is generally formed in the rover, and a wireless charging unit is configured on the lower surface of the dock to automatically perform charging when the drone is seated in the dock.

In addition, if the drone passes through a communication-degraded area, for example, a forested travel course, communication with a satellite is impossible, so that communication failure can be resolved using a rover.

On the other hand, according to another additional aspect, the remote travel support apparatus using a drone of the present invention,

It is equipped with a course program, and a drone travel course design device (600) that sets a travel course using the course program, provides a point setting page to set points, and performs altitude setting, location setting, and speed setting according to the point. ) Can be included.

As shown in Fig. 3, the drone travel course design device 600 provides a point setting page to the traveler terminal using the installed course program. When points are set, the altitude setting, location setting, and speed are set according to the point. You will be performing the setup.

At this time, the drone travel course design device,

Point number setting unit for providing a setting page for setting the number of points and obtaining the set number of points; And

A degree of freedom setting unit for providing a setting page for setting the degree of freedom range and obtaining a set degree of freedom range; and

And a travel range setting unit for each point for resetting the travel altitude range and the travel location range according to the set degree of freedom for each point.

Specifically, as shown in FIG. 3, the number of points designed by the traveler is acquired through the point number setting unit and provided to the traveler's terminal screen.

Thereafter, the range of degrees of freedom designed by the traveler is acquired through the degree of freedom setting unit and provided to the traveler's terminal screen.

Thereafter, the travel altitude range and the travel location range are reset according to the degree of freedom for each point set through the travel range setting unit for each point, and these are provided to the traveler's terminal screen.

Accordingly, the altitude range for each point and the travel location range as shown in FIG. 3 are provided to the traveler.

When configured as described above, the user can modify the basically provided travel course and add a degree of freedom to provide the effect of allowing the user to freely see the surrounding scenery within the set distance range in the specified travel course.

The drone controller 300 acquires drone control information of a traveler's terminal and performs a function of remotely controlling a drone.

A feature of the present invention is that the drone operator is not located within the travel course, but the traveler controls the movement of the drone through the body motion interface of his traveler's terminal from a remote location, so that the traveler can enjoy the surrounding travel landscape photographed by the drone. It will provide a drone travel service.

The traveler terminal 400 is characterized in that it comprises a camera 410 and a display panel 420.

Therefore, by analyzing user actions through the camera 410, drone control information including movement, stop, and speed increase/decrease information is provided to the drone controller, and drone control subtitles are provided through the display panel 420, and It performs a function of outputting information on the landscape surrounding the provided tour course on the screen.

Specifically, the technology for analyzing user actions through the camera 410 is described in detail in the Korean Patent Registration No. 10-2099123 registered by the applicant of the present application,'Water sports device control method using artificial intelligence'. Therefore, even if the description thereof is omitted, the process of controlling the movement of the drone from a remote location through the body motion interface using artificial intelligence deep learning technology will be sufficiently understood by those skilled in the art.

For example, as shown in FIG. 5, in advance, the user can first determine a pose and set it to correspond to various commands. For example, the user can command the right, slightly right, speed increase, stop, etc. Is defined as the pose of the user, and the defined user pose-specific command is stored and processed in the pose command storage unit.

At this time, the traveler terminal 400,

It is configured to further include an artificial intelligent body motion control means for controlling movement, stop, and speed increase or decrease of the drone through the body motion interface using an artificial intelligence deep learning algorithm.

At this time, the artificial intelligence body motion control means,

A gesture acquisition unit that acquires an image according to the user's posture from the camera; and

An outline extracting unit for extracting an outline by camera image processing; And

Human body leg recognition unit for recognizing face, body, and hands using an artificial intelligence algorithm; and

A coordinate value acquisition unit for acquiring the recognized position value of each part of the human body; and

An extracting unit for extracting a value having the most similar weight by comparing the coordinate value with a regularized database; and

A command derivation unit for deriving a command by comparing the extracted value with the command for each pose stored in the pose command storage unit; and

A pose command storage unit for pre-defined commands for each user pose; And

And a drone control unit that provides drone control information to a drone controller in order to control a drone according to the derived command.

Specifically, the gesture acquisition unit acquires an image according to the user's posture from the camera unit.

In this case, the outline extracting unit extracts the outline of the gesture that the user is taking through camera image processing.

Thereafter, the human body leg recognition unit recognizes a face, a body, and a hand using an artificial intelligence algorithm.

In other words, it is meaningful in that the result obtained by learning by deep learning is selected for the human body parts and the current position value of each part is derived.

Specifically, learning to distinguish each part of the human body by extracting the contour of the human body and making it recognized by artificial intelligence deep learning is built into a neural network.

The purpose is to select each part of the human body as a result value, and to extract the coordinate values corresponding to each part as a result value.

Thereafter, the coordinate value acquisition unit acquires the recognized position value of each part of the human body, and the extraction unit extracts a value having the most similar weight by comparing the coordinate value with a regularized database.

For example, when the outline of the human body is extracted, the main points of the pose are identified as follows.

The points of each part may be different depending on the method of learning by artificial intelligence.

Distinguish 7 pairs and 3 center points, draw a connecting line for each part, and express 17 points as coordinates with the center point as the origin (0,0) in the (x,y) coordinate.

That is, looking at the image of Fig. 6, the three center points are (8,0) (4,0) (0,0), respectively, from top to bottom, and each is (6, -1) (6,1) and (4, -2) (4,2), (1,-3) (1,3), both hands are left hand (-1,-4) right hand (- 1,4) and the following is expressed as (-2.-1) (-2,1) and (-4,-1) (-4, 1) and (-6, -1) (-6, 1) Can be.

Programming of an embodiment of the present invention is as follows.

import numpy as npclass DeepNeuralNetwork:

def __init__(self, input_layers, middle_layers, hidden_layers, output_layers):

self.inputs = input_layers-> body_motion_picture input layer-> body motion picture

self.middles=middle_layers->pose_dot_analysys middle layer->body posture analysis

self.hiddens = hidden_layers hidden layers (recognition by deep learning)

self.outputs = output_layers-> multiple_coordinates output layer->17 coordinates

self.test_data = big_body_motion_pictures (more than 5000 body motion picture data)

# Contrast with the database.

call database_comparison

# Calculate the weight.

call self = weight_calculation

pass

# Print the command of the current machine.

def print_accuracy(self):

pass

As, it is characterized by being coded in Python.

That is, the command deriving unit derives a command by comparing the extracted value with the command for each pose stored in the pose command storage unit.

For example, when the user raises the right hand, the command for each user pose stored in the pose command storage unit is extracted. When the right hand is raised, the command for changing the drone direction to the right is extracted.

Thereafter, the drone control unit provides drone control information to the drone controller in order to control the drone according to the derived command.

For example, a signal to change the direction of the drone movement to the right is provided to the drone.

In summary, according to the present invention, it is possible to determine the movement, stop, speed increase or decrease of a drone using an artificial intelligence algorithm for hand, arm, and body movements actually captured by a camera.

Specifically, the drone control unit,

import numpy as npclass DeepNeuralNetwork:

def __init__(self, input_layers, middle_layers, hidden_layers, output_layers):

self.inputs = input_layers-> body_motion_picture input layer-> body motion picture

self.middles=middle_layers->pose_dot_analysys middle layer->body posture analysis

self.hiddens = hidden_layers hidden layers (recognition by deep learning)

self.outputs = output_layers-> machine_command output layer-> machine command

self.test_data = big_body_motion_pictures (more than 5000 body motion picture data)

# Proceed feed-forward.

def predict(self, x): x is a command from a drone (ex) left, right, stop, speed increase)

pass

# Proceed with training with training_data.

def train(self, training_data, lr=0.01, epoch=1): Learning body movement posture representation

pass

# Print the command of the current machine.

def print_accuracy(self):

pass

As, it is characterized by being coded in Python.

In the present invention, various gestures are input (X) at the time of learning, and a human gives a weight (W) to the answer (Y) to the input to compensate (reward).

An example of how to make AI learn about various commands is as follows.

The command set is as follows.

Examples include stop (S), speed reduction (D), speed increase (I), left turn (L), right turn (R), and no command (N).

One thing to watch out for is that there is no command (N), and the state without any command is also an important factor.

The reinforcement given to artificial intelligence is given on a scale of 100 points.

On the other hand, the technology applied in the present invention is to first determine data on the shape of hand gestures, arms, and body in advance, and then connect it to the previously determined data through artificial intelligence recognition of various hand gestures, arms, and body shapes. Is used as a variable for the operation (control) of another system, that is, the drone, and this is defined as BUI (Body Motions User Interface).

Referring to FIG. 7, a face, body, and hands are found in a photographed photograph using computer vision technology of artificial intelligence, and a photograph taken with the face and body as an axis is coordinated. For, f(a,b))

Thereafter, f(a,b) is determined based on the coordinate values set for the position of the hand.

Thereafter, the change in the position of the hand is detected, and a new position value of the hand is found (for example, f(a1) -> f(a2)).

Meanwhile, after connecting the x-axis value to the drone direction control motor and the y-axis value to the propulsion motor, f(a1) = f(-2, -3) -> f(a2) = f(-2, 3) If the,

Here, you can see that the value of the y-axis has changed from (-3) -> (3).

By transmitting this change value to the propulsion motor, the speed is increased by Δ(6) in the future.

And, when the position change of the hand is f(b1) to f(b2), for example, f(b1) = (1, -2) -> f(b2) = (4, 2) In the x-axis value change △(3) to propel the propulsion motor forward.

In this way, after sensing that the position of the hand changes to various positions, the change values of the x and y values are connected to the direction control motor and the propulsion motor to adjust the moving direction and speed of the drone.

Through the configuration and operation of the present invention, a travel course of a specific country desired by the user is provided, and the movement of the drone is controlled at a remote location through the body motion interface using artificial intelligence deep learning technology, It will provide a drone travel service that allows you to enjoy the travel scenery.

Those skilled in the art to which the present invention with the above contents pertains will be able to understand that the present invention can be implemented in other specific forms without changing the technical spirit or essential features of the present invention. Therefore, the embodiments described above are exemplified in all respects and should be understood as non-limiting.

The scope of the present invention is indicated by the claims to be described later rather than the detailed description, and all changes or modified forms derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present invention. do.

100: travel course management server
200: drone
300: drone controller
400: traveler's terminal

Claims (3)

In the remote travel support device using a drone,
A travel course management server 100 for storing travel course information and providing travel course information selected by the traveler terminal to the traveler terminal,
A drone 200 that photographs the travel course and transmits it to a traveler's terminal, and moves up, down, left and right under the control of a drone controller,
A drone controller 300 for remotely controlling a drone by acquiring drone control information of a traveler's terminal,
By analyzing user actions through the camera 410, drone control information including movement, stop, and speed increase/decrease information is provided to the drone controller, and drone control subtitles are provided through the display panel 420, and the travel course provided by the drone A traveler's terminal 400 for outputting surrounding landscape information on a screen,
As a balloon-type drone filled with helium or hydrogen gas and floating in the air, it performs the GPS position correction of the drone, and includes a wireless charging function to enable the drone to perform wireless charging in an emergency, and the drone is located in a communication degradation area. It is configured to include a rover 500 for solving the communication inability by performing the communication of the drone,
The drone,
A camera unit for photographing a subject in the direction of travel and the surrounding landscape in the travel course; And
A wireless communication unit for transmitting image information captured through the camera unit to a traveler's terminal; and
A battery power monitoring unit for monitoring battery power and transmitting information on a corresponding power shortage to the traveler's terminal when a power less than a setting is detected;
A peer communication unit for transmitting current location information to a traveler terminal by performing communication between nearby drones or a rover; And
And a travel course storage unit that stores altitude, location, and speed parameters of the travel course provided by the drone controller and location information of the rover; and
The traveler terminal 400,
Consists of including; artificial intelligence body motion control means for controlling movement, stop, and speed increase or decrease of the drone through the body motion interface using an artificial intelligence deep learning algorithm,
The artificial intelligent body motion control means,
A gesture acquisition unit that acquires an image according to the user's posture from the camera; and
An outline extracting unit for extracting an outline by camera image processing; And
Human body leg recognition unit for recognizing face, body, and hands using an artificial intelligence algorithm; and
A coordinate value acquisition unit that acquires the recognized position value of each part of the human body; And
An extracting unit that compares the coordinate values with a regularized database and extracts a value having the most similar weight; and
A command derivation unit for deriving a command by comparing the extracted value with the command for each pose stored in the pose command storage unit; and
A pose command storage unit for pre-defined commands for each user pose; And
A remote travel support device using a drone, comprising: a drone control unit that provides drone control information to a drone controller to control a drone according to the derived command.
delete The method of claim 1,
It is equipped with a course program, and a drone travel course design device (600) that sets a travel course using the course program, provides a point setting page to set points, and performs altitude setting, location setting, and speed setting according to the point. ), a remote travel support device using a drone, characterized in that it is configured to include.

Images