KR101827249B1 - Intelligent system for object detection drone based on smart device using VPN, and Intelligent object detection method for the same - Google Patents

Intelligent system for object detection drone based on smart device using VPN, and Intelligent object detection method for the same Download PDF

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KR101827249B1
KR101827249B1 KR1020160011674A KR20160011674A KR101827249B1 KR 101827249 B1 KR101827249 B1 KR 101827249B1 KR 1020160011674 A KR1020160011674 A KR 1020160011674A KR 20160011674 A KR20160011674 A KR 20160011674A KR 101827249 B1 KR101827249 B1 KR 101827249B1
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drones
smart device
control server
drone
user
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KR1020160011674A
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KR20170090826A (en
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이수호
박우철
임효택
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동서대학교산학협력단
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B64—AIRCRAFT; AVIATION; COSMONAUTICS
    • B64C—AEROPLANES; HELICOPTERS
    • B64C27/00—Rotorcraft; Rotors peculiar thereto
    • B64C27/04—Helicopters
    • B64C27/08—Helicopters with two or more rotors
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B64—AIRCRAFT; AVIATION; COSMONAUTICS
    • B64C—AEROPLANES; HELICOPTERS
    • B64C39/00—Aircraft not otherwise provided for
    • B64C39/02—Aircraft not otherwise provided for characterised by special use
    • B64C39/024—Aircraft not otherwise provided for characterised by special use of the remote controlled vehicle type, i.e. RPV
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B64—AIRCRAFT; AVIATION; COSMONAUTICS
    • B64D—EQUIPMENT FOR FITTING IN OR TO AIRCRAFT; FLIGHT SUITS; PARACHUTES; ARRANGEMENT OR MOUNTING OF POWER PLANTS OR PROPULSION TRANSMISSIONS IN AIRCRAFT
    • B64D47/00—Equipment not otherwise provided for
    • B64D47/08—Arrangements of cameras
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/12—Messaging; Mailboxes; Announcements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/60—Subscription-based services using application servers or record carriers, e.g. SIM application toolkits
    • B64C2201/127—
    • B64C2201/146—

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Abstract

The present invention relates to a smart device-based intelligent object recognition drones system and an intelligent object tracking method using a VPN network. In the present invention, when an open source computer vision mode (OpenCV) is requested by a user in a flight start mode for a dron according to a user's selection on a touch screen, a drones A smart device having an Android application that receives and displays an object recognition notification push message through a control server on a touch screen; And 3G / 4G data communication of the smart device that acts as a router in configuring the VPN network to track the object by matching the learned image and the captured image in advance, A drone that provides an object tracking process through the drones control server without being limited by distance, where possible; .
As a result, images received by a small aircraft type drones can be analyzed by pattern recognition and object detection by automatically analyzing images rather than simply recognized by Android smart devices. By providing intelligent CCTVs that replace conventional CCTVs, Detection, and so on.
In addition, the present invention is applicable to a general mode for general control of a drone as a flight start mode of a drone, a streaming mode for providing a real time image taken from a drone, an open source computer By providing vision mode (OpenCV), the user has the advantage of utilizing the drones for various purposes.
In addition, the present invention provides convenience for terrestrial exploration and job execution without being limited by the distance where a 3G / 4G data communication of a smart device acting as a router on the same network is possible using a VPN network It provides an effect that can be done.

Description

TECHNICAL FIELD [0001] The present invention relates to a smart device-based intelligent object recognition drones system and an intelligent object tracking method using a VPN network,

The present invention relates to a smart device-based intelligent object recognition drones system and an intelligent object tracking method using a VPN network. More particularly, the present invention relates to a smart device- Intelligent Object Recognition Drones System and Intelligent Object Based on Smart Device Using VPN Network to Trace Registered Dictionary Information by Matching and Tracking the Recorded Image by Using Intelligent Object Recognition Drone Tracking method.

FIG. 1 is a diagram illustrating a conventional unmanned aerial vehicle and image recognition technology. First, as shown in FIG. 1A, unmanned aerial vehicles (UAVs), which have been developed for military purposes, have been exploiting the explosive growth of the Internet of Things (IOT) Etc.), and it is possible to overcome the problems of various environments where human access is restricted like population density due to various terrain problems.

In addition, as shown in FIG. 1B, computer vision and image processing, which are progressing in research and development around the world as a core technology of future robotics along with development of science and technology, It is a field of intelligence that computers are used in various fields such as shooting, security task, CCTV control system, etc., by recognizing, judging, classifying, and tracking objects.

Korean Patent Laid-Open Publication No. 10-2015-0097274 entitled " Subject Tracking System and Method Using Self-contained Space Mobile Camera " Korean Patent Laid-Open Publication No. 10-2014-0030610 "Surveillance Method Using Unmanned Aerial Vehicle Coupled with Ground Surveillance Equipment" Korean Patent Registration No. 10-1461482 entitled " Method for Tracking Unmanned Aircraft Position "

SUMMARY OF THE INVENTION The present invention has been made to solve the above problems and it is an object of the present invention to provide a smart device-based intelligent object using a VPN network to enable drones movement and camera control through a smart device in cooperation with a smart device such as a smart phone, A recognition drone system and an intelligent object tracking method.

However, the objects of the present invention are not limited to the above-mentioned objects, and other objects not mentioned can be clearly understood by those skilled in the art from the following description.

According to an embodiment of the present invention, there is provided a smart device-based intelligent object recognition drones system using a VPN network, the intelligent object recognition drones system comprising: A smart device having an Android application for receiving an object recognition notification push message via a drones control server connected to a wireless AP and displaying it on a touch screen when a source computer vision mode (OpenCV) is requested; And 3G / 4G data communication of the smart device that acts as a router in configuring the VPN network to track the object by matching the learned image and the captured image in advance, A drone that provides an object tracking process through the drones control server without being limited by distance, where possible; .

According to an embodiment of the present invention, there is provided a smart device-based intelligent object recognition drones method using a VPN network, wherein an Android application of a smart device displays a fly start mode for a dron according to a user's selection on a touch screen A first step of performing the first step; And when the Android application receives an open source computer vision mode (OpenCV) from the user, the object recognition notification push message is received through the drones control server connected to the wireless AP and displayed on the touch screen during the object recognition by the drones A second step; .

A third step of receiving and displaying an object search push message through the drones control server in the object estimation process by the drones of the object recognized by the Android application after the second step; .

Also, in the third step, when the Android application is able to perform 3G / 4G data communication of the smart device serving as a router in configuring the VPN network, it is possible to transmit the object through the drones control server It is desirable to perform a tracking process.

The smart device-based intelligent object recognition drones system and intelligent object tracking method using a VPN network according to an embodiment of the present invention is an intelligent object recognition dron system and an intelligent object tracking method using a VPN network, And detecting and analyzing the object to provide an effect that can be used in various forms such as a missing person and a criminal detection using the intelligent CCTV that replaces the conventional CCTV.

 In addition, the smart device-based intelligent object recognition drones system and the intelligent object tracking method using the VPN network according to another embodiment of the present invention include a general mode for general control of a drone as a flight start mode of a drone, (OpenCV), which performs tracing on the learned object. The user can utilize the drone for various purposes.

In addition, according to another embodiment of the present invention, a smart device-based intelligent object recognition drones system and an intelligent object tracking method using a VPN network can be applied to a smart device that acts as a ROUTER on the same network using a VPN network, 4G data communication, it is possible to provide convenience for terrain surveillance and work without restriction of distance.

FIG. 1 is a view showing an unmanned aerial vehicle and image recognition technology according to the prior art. FIG.
2 is a diagram illustrating a smart device-based intelligent object recognition drones system using a VPN network according to an embodiment of the present invention.
3 is a block diagram illustrating a class that constitutes an application of a smart device in a smart device-based intelligent object recognition drones system using a VPN network according to an embodiment of the present invention.
FIG. 4 is a diagram illustrating a class of a drones control server in a smart device-based intelligent object recognition drones system using a VPN network according to an embodiment of the present invention;
5 is a diagram illustrating a program class of a smart device based intelligent object recognition drones system using a VPN network according to an exemplary embodiment of the present invention.
6 to 9 are views showing a UI screen implemented in a smart device among smart device-based intelligent object recognition drones systems using a VPN network according to an embodiment of the present invention.
FIG. 10 is a flowchart illustrating an intelligent object tracking method based on a smart device-based intelligent object recognition drones system using a VPN network according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a detailed description of preferred embodiments of the present invention will be given with reference to the accompanying drawings. In the following description of the present invention, detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

In the present specification, when any one element 'transmits' data or signals to another element, the element can transmit the data or signal directly to the other element, and through at least one other element Data or signal can be transmitted to another component.

2 is a diagram illustrating a smart device-based intelligent object recognition drones system using a VPN network according to an embodiment of the present invention. Referring to FIG. 2, a smart device 10, a wireless AP 20, a drones control server 30, and a drone 40 are included.

3 is a view showing a class constituting an application on the smart device 10 based on the Android OS among the smart device based intelligent object recognition drones system using the VPN network according to the embodiment of the present invention. Block diagram.

3, the smart device 10 includes a CreatedID 10a, a LoginActivity 10b, a SecurityCode 10c, a SeachIdpass 10d, a MainActivity 10e, an NSK 10f, a Phtosaver 10g, A DroneManager 10h, an HttpCommunication 10i, an IMG Downloader 10j, an OpenCVLibrary 10k, a Detection 10l, and a GCM (Google Cloud Messaging: 10m) class.

The CreatedID 10a accesses the drones control server 30 via the wireless AP 20 to generate an ID for controlling the drones 40. [

The LoginActivity 10b performs login to the drones control server 30 through the wireless AP 20 using the ID and password generated by the CreatedID 10a and generates a security number through the SecurityCode 10c, Authentication can be performed.

The SeachIdpass 10d can perform the search through access to the database 31 of the drone control server 30 at the time of performing the login by the LoginActivity 10b for the ID and the password generated by the CreatedID 10a .

The MainActivity 10e controls the drones 40 using the VPN network through the interlocked class with the Phtosaver 10g, the NDK 10f and the DroneManager 10h and the UIs on the touch screen of the smart device 10, (User Interface) screen.

The NDK (Native Development Kit: 10f) provides a work environment utilizing the Java Native Interface (JNI) based on the Android application. The NDK (10f) can act as a tool for inserting the library created according to the native code building process into the Android application package in the Android OS.

The Phtosaver 10g corresponds to a class for capturing an image screen provided from a camera of the drones 40 in a real-time streaming mode and provided as a UI (User Interface) interface screen implemented with a touch screen of a smart device.

The DroneManager 10h corresponds to the class for the drone 40 flying operation under the control of the MainActivity 10e. The DroneManager 10h not only controls the takeoff and landing of the drones 40 but also can provide a direction control process after takeoff.

The HttpCommunication 10i receives from the drones control server 30 an authenticated user via the user information stored in the database 31 by the drones control server 30 And corresponds to a class for processing a push message.

The IMG Downloader 10j receives the image photographed by the drones 40 and provides the image as a class of the required Android application.

The OpenCVLibrary (10k) controls the object tracking that is recognized through the control of the detection (101) through real-time image processing from an open source computer vision library corresponding to OpenCV (Open Computer Vision).

Detection (10l) corresponds to a class for tracking by object recognition and object search using the drones (40).

The GCM 10m corresponds to a class for receiving a recommendation message for a recognized object through the wireless AP 20 or the VPN network by the drones control server 30 when the object is recognized by the detection unit 10l .

FIG. 4 is a diagram illustrating a program class of a drone control server 30 in a smart device-based intelligent object recognition drones system using a VPN network according to an embodiment of the present invention. 4, the drone control server 30 includes a first server 30a, a MySQL 30b, a JDK (Java Development Kit) 30c, and a JSP 30d class .

The first server 30a controls the MySQL 30c, the JDK 30c and the JSP 30d to provide the smart device 10 with the images photographed by the drones 40 stored in the database 31 do.

MySQL (30c) is an open source relational database management class that uses SQL (Structured Query Language), a standard database query language. The MySQL 30c performs database management for providing a push message to be transmitted to the authenticated user through the user information stored in the database 31 in accordance with the access of the smart device 10 through the wireless AP 20 .

The JDK 30c is a Java program execution set class on a drone control server 30 and provides a web page containing codes using Java through JSP (Java Server Pages) to the smart device 10 Class.

The JSP 30d extracts tracking information on an image matched with the dictionary information learned by the drones 40 from the database 31 and provides the extracted information to the smart device 10 that is authenticated by the user.

FIG. 5 is a diagram illustrating a program class of a drone 40 in a smart device-based intelligent object recognition drones system using a VPN network according to an embodiment of the present invention. Referring to FIG. 5, a drone 40 includes a second server 40a, a camera 40b, a WiFi module 40c, and a VPN 40d.

The second server 40a controls the camera 40b, the WiFi-Module 40c and the VPN 40d to provide a video shot through the at least one wireless AP 30 to the drones control server 30 But is a class for controlling the tracking after recognizing an object that matches pre-registered information from a photographed image.

The camera 40b provides the photographed image using the camera of the drones 40 to the 2nd server 40a so that access to the wireless AP 30 by the WiFi module 40c under the control of the 2nd server 40a So that data transfer to the drone control server 34 is performed.

The WiFi module 40c transmits data to the drones control server 30 through the wireless AP 20 requesting access in response to an access request to the wireless AP 20 having the strongest signal among the plurality of wireless APs 20 .

The VPN 40d establishes a private network on the public network, and performs 3G / 4G data communication of the smart device 10 serving as a router in configuring the VPN network to provide a virtual private communication network for use as a private network or a private network The object tracking process is performed through the drones control server 30 from the drones 40 without being limited by the distance.

In another embodiment of the present invention, the VPN 40d includes a plurality of wireless APs 20 and a software program that defines their network configuration and provides a plurality of smart devices 10 and drones 40, It may be a class for building a numbering system for identification.

6 to 9 are views showing a UI screen implemented in the smart device 10 among smart device-based intelligent object recognition drones systems using a VPN network according to an embodiment of the present invention. First, FIG. 6 shows a main UI screen implemented in the smart device 10, and may include flight record data, a flight start and an initialization menu. Upon selection of the flight record data, the smart device 10 may view the flight record data of the drones 40 through access to the database 31 of the drones control server 30 via the wireless AP 20.

On the other hand, upon selection for flight start, the smart device 10 may provide control commands for the drones 40 via the wireless AP 20 and the wireless AP 20 may send control commands to the drones control server 30 And automatically stores the image taken by the camera of the drones 40 during the flight according to the control command and transmits the image to the drones control server 30 to be stored in the database 31. [ As shown in FIG.

On the main UI screen, the flight start mode provided by the flight start menu is made up of three modes: a general mode, a streaming mode, and an open source computer vision mode (OpenCV).

The normal mode corresponds to a mode for control using the smart device 10 for the drones 40 only.

7 illustrates a streaming mode in which the Android application of the smart device 10 is linked with the drones 40 to display a real-time screen on a touch screen.

In this case, four button buttons a1, a2, a3, and a4 are displayed on the touch screen by the Android application.

On the other hand, the real-time screen provided on the touch screen of the smart device 10 provides an advantage that a high-resolution image can be smoothly reproduced by video decoding using the FFMPEG library.

In the OpenCV UI screen as shown in FIG. 8, object recognition is performed through objection detection through a texture displayed on a touch screen, and the drones 40 are connected to the wireless AP 20 And provides the object recognition completion notification to the drones control server 30 to extract the user information desired to be recognized by the drones control server 30 from the database 31. [

Accordingly, since the drone control server 30 corresponds to the host of the drones 40 and the smart devices 10, the above-described JSP (Java Server Pages ) 30d to transmit the object recognition completion notification to the authenticated user stored in the database 31 via the JSP 30d in the form of a push message transmission scheme.

8, when the Android application of the smart device 10 displays Synchro on the touch screen as 0 indicating that the object recognized by the drones 40 corresponds to the object tracking object through real-time image processing, And informs that the preparation process for object tracking is completed.

FIG. 9 shows a case where an object recognized during the flight process of the drone 40 is searched after object recognition through the open source computer vision mode (OpenCV), a push message from the drone control server 30 using the GCM 10m described above Fig. 9, when a recognized object is searched in the flight of the drone 40, after the search time is counted, when the counted time exceeds a preset time, the Android application serving as a router is notified to the drones 40 according to the control of the drones control server 30 which receives the object search push notification.

According to another embodiment of the present invention, when searching for a recognized object during the flight of the drones 40, after the search time is counted, the smart device 10, which acts as a router when the counted time exceeds a preset time, The Android application can receive an object discovery push message from the drones control server 30 via another wireless AP 20 located in the direction of travel on the VPN.

10 is a flowchart illustrating an intelligent object tracking method based on a smart device-based intelligent object recognition drones system using a VPN network according to an embodiment of the present invention. Referring to FIG. 10, in order to provide the UI screen of FIGS. 6 to 9, the Android application of the smart device 10 performs a flight start mode according to the user's selection on the touch screen (S110).

After step S110, the Android application of the smart device 10 determines whether the user requests the stream mode during the flight start mode (S120).

If it is determined in step S120 that the streaming mode is requested, the Android application of the smart device 10 receives the real-time photographed image according to the relay of the wireless AP 20 from the drones 40 and provides the real- (S130).

If the open source computer vision mode (OpenCV) is requested instead of the stream mode as a result of the determination in step S120, the Android application of the smart device 10 receives the request from the wireless AP 20 in the object recognition process by the drones 40, And displays the object recognition notification push message on the touch screen (S140).

To this end, the drone 40 recognizes an object in the real-time image to be photographed in step S140. If the object is a person, it recognizes the face and then stores it in the database 31 of the drones control server 30 After matching with the face data of the person, if the matching is successful, the object can be traced.

According to another embodiment of the present invention, in step S140, by using the image recognition technology with the drone 40, which is an unmanned airplane, the movement of the drones 40 is controlled by an application developed in cooperation with the smart device 100 So that the image can be confirmed.

After step S140, the Android application of the smart device 10 receives and displays an object search push message through the drones control server 30 in the object estimation process by the drones 40 for the object recognized in step S140 (S150). In step S150, the drones 40 learn a video image of the object in advance, match the learned video image with the video to be photographed, and track and track the object by a plurality of wireless APs 20 (Virtual Private Network) network.

The present invention can also be embodied as computer-readable codes on a computer-readable recording medium. A computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored.

Examples of the computer-readable recording medium include a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device and the like, and also implemented in the form of a carrier wave (for example, transmission over the Internet) .

The computer readable recording medium may also be distributed over a networked computer system so that computer readable code can be stored and executed in a distributed manner. And functional programs, codes, and code segments for implementing the present invention can be easily inferred by programmers skilled in the art to which the present invention pertains.

As described above, preferred embodiments of the present invention have been disclosed in the present specification and drawings, and although specific terms have been used, they have been used only in a general sense to easily describe the technical contents of the present invention and to facilitate understanding of the invention , And are not intended to limit the scope of the present invention. It is to be understood by those skilled in the art that other modifications based on the technical idea of the present invention are possible in addition to the embodiments disclosed herein.

10: Smart Device 10a: CreatedID
10b: LoginActivity 10c: SecurityCode
10d: SeachIdpass 10e: MainActivity
10f: NSK 10g: Phtosaver
10h: DroneManager 10i: HttpCommunication
10j: IMG Downloader 10k: OpenCVLibrary
10l: Detection 10m: GCM
20: Wireless AP 30: Drones control server
30a: 1st Server 30b: MySQL
30c: JDK 30d: JSP
31: Database 40: Drones
40a: 2nd Server 40b: Camera
40c: WiFi-Module 40d: VPN

Claims (4)

When a user requests an open source computer vision mode (OpenCV) in the flight start mode of the dron according to the user's selection on the touch screen, the dron control server connected to the wireless AP during the object recognition process by the drone A smart device having an Android application for receiving and displaying an object recognition notification push message on a touch screen;
A wireless AP that receives a user request from the smart device and transmits the user request to the drones control server, and provides the smart device with the image data and the drones' flight record data transmitted from the drones control server;
A drones control server for storing image data photographed by a drone in a database, extracting trace information on the stored images, and providing the extracted trace data to a smart device of a user through a wireless AP; And
It provides the drone control server through the wireless AP to notify the photographed video and object recognition, learns the video image of the object in advance, tracks the object by matching the learned video image with the photographed video, A dron that provides an object tracking process through the drones control server without being restricted by distances where the 3G / 4G data communication of the smart device serving as a router in the network can be performed; A smart device based intelligent object recognition drones system using a VPN network.
A first step in which the Android application of the smart device performs a flight start mode for a dron according to a user's selection on a touch screen;
When the Android application receives an open source computer vision mode (OpenCV) from a user, the mobile terminal receives an object recognition notification push message through a drones control server connected to a wireless AP in the object recognition process by the dragon, Step 2; And
And a third step of receiving and displaying an object search push message through the drones control server in the object estimation process by the drones of the object recognized by the Android application,
In the third step,
The object tracking process is performed from the drones through the drones control server without being limited by the distance where the Android application can perform 3G / 4G data communication of the smart device serving as a router in configuring the VPN network A Smart Device Based Intelligent Object Tracking Method Using a VPN Network.
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KR1020160011674A 2016-01-29 2016-01-29 Intelligent system for object detection drone based on smart device using VPN, and Intelligent object detection method for the same KR101827249B1 (en)

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KR102028622B1 (en) * 2018-01-31 2019-10-04 주식회사 에디테크놀로지 Method and system for automatically tracking object using drone
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