KR102339782B1 - Apparatus for sharing information and method for sharing information - Google Patents

Abstract

The present invention relates to an information providing apparatus and an information sharing method. According to the present invention, the information providing apparatus comprises: a signal receiving unit for receiving a signal transmitted from a target; an information acquisition unit for acquiring information on whether the target is a friend or foe from the signal received by the signal receiving unit using artificial intelligence; and an information sharing unit for sharing information on the target acquired by the information acquisition unit to a plurality of users.

Description

Apparatus for sharing information and method for sharing information

The present invention relates to an information providing apparatus and information providing method, and to an information providing apparatus and information sharing method capable of detecting a target through artificial intelligence-based learning and sharing information about the target to a plurality of users will be.

The battlefield of the future is changing from a platform-oriented battlefield for each unit weapon system to a network-oriented operational environment where all weapon systems share necessary information through technical connectivity and interoperability. That is, the battlefield situation can be recognized or the battlefield situation can be shared through the network. Accordingly, it is possible to maximize the power in the battlefield situation.

In general, in a network-centric operational environment, sensor nodes are used as a means to monitor the battlefield situation. In other words, it is possible to monitor or reconnaissance the battlefield situation through the one-dimensional information collected by the sensor node. To this end, sensor nodes were pre-arranged in an area where a battlefield situation could occur, and when a battlefield situation occurred, information about the area was collected and transmitted.

However, in performing a network-oriented operational environment, there was a problem in that it was not possible to collect battlefield situation information in an area where a sensor node was not deployed. In addition, since information is collected by sensor nodes, when nearby obstacles interfere with information collection, there is a problem in that information in the relevant area cannot be smoothly collected. In addition, there is a problem in that information cannot be smoothly shared between power sources only with one-dimensional information collected through the sensor node. Accordingly, there is a need for a device or method capable of performing a network-oriented operation environment even in an area where a sensor node is not installed, and enabling smooth information sharing between power sources.

KR 10-0660025 B1

The present invention relates to an information providing apparatus and information sharing method capable of detecting and identifying a target located in a battlefield situation by learning about a target in advance with artificial intelligence.

The present invention relates to an information providing apparatus and an information sharing method capable of sharing information on a target in a battlefield situation to a plurality of users.

The present invention is a signal receiving unit for receiving a signal transmitted from the target; an information acquisition unit for acquiring information about a peer of a target from a signal received by the signal reception unit using artificial intelligence; and an information sharing unit for sharing the information on the target acquired by the information acquisition unit to a plurality of users.

The present invention is a signal receiving unit for receiving a signal transmitted from the target; an information acquiring unit for learning in advance about the peer information of the target using artificial intelligence, and acquiring information about the peer of the target from the signal received by the signal receiving unit through the learned information; and an information sharing unit for sharing the information on the target acquired by the information acquisition unit to a plurality of users.

The information obtaining unit may detect whether the target is an enemy target or a friendly target, and when the target is an enemy target, determine the type of the enemy target, and the information sharing unit may use the information of the information obtaining unit Thus, information on the target is shared with non-received users who have not received the signal transmitted from the target.

The information acquisition unit stores and extracts the image data stored using the artificial intelligence-based deep neural network and the image data set converted from the signal received by the signal receiving unit, and the deep neural network, through the superposition process and the integration process, The stored image data and features of the converted image data are extracted and classified.

The information acquisition unit may include: an image storage unit configured to pre-store the stored image data for a set enemy target or to pre-store the converted image data; an image conversion unit for converting the signal received from the signal receiving unit into image data; and an image identification unit for extracting the stored image data from the image storage unit and matching the converted image data to identify a type of an enemy target.

The image storage unit separately stores the image of the converted image data for the friendly team and the converted image data image for the enemy target.

The image identification unit compares the images of each of the stored image data for the friendly and the enemy targets with the images of the converted image data to determine the target's peer information and types.

The information sharing unit sets a priority among the non-received users, and shares the target information according to the set priority.

The information sharing unit may include: a reception determination unit for determining a non-received user among the plurality of users; a friendly position measuring unit for measuring the positions of each of the non-received users based on the user who sensed the target; and a friendly transmission unit that sets priorities in the communication network of the non-received users and transmits information through a data link.

The signal receiving unit may include: an optical measuring unit for receiving an infrared signal in a battlefield situation of each of the plurality of users; and a transmitting unit that converts the information of the optical measuring unit into image data and transmits the converted information to the information obtaining unit.

The present invention provides a method for providing information on a target by being provided to a plurality of users, respectively, the process comprising: one user receiving a signal transmitted from the target; a process of acquiring information about the peer information of the target using a signal acquired in real time based on artificial intelligence; and a process of sharing information about the target to a plurality of users.

The process of acquiring the information on the target may include: storing information on the enemy target in advance using preset information on the enemy target and the acquired signal; A process of comparing pre-stored image data for an enemy target with image data converted from a received signal based on an artificial intelligence-based deep neural network; and determining the relative position of the enemy target with respect to the one user by using the signal acquisition direction.

The process of comparing the stored image data and the image data converted from the received signal may include: converting the received signal into the converted image data; and matching the converted image data with the stored image data. and determining the type of the enemy target corresponding to the matched image data.

The determining of the type of the enemy target may include: extracting an image of the target from the stored image data; and a process of matching the type of the enemy target corresponding to the extracted image.

In the process of sharing the information on the target to a plurality of users, a priority is set among the plurality of users, and information on the type of the enemy target is sequentially shared according to the set priority.

The process of displaying the information on the target to the one user; further comprising, the process of displaying the information on the target to the one user includes, to the one user, the location of the target and the type of the target image data and This includes the process of displaying text data.

According to an embodiment of the present invention, it is possible to detect and identify a target in a battlefield situation by learning in advance about friendly and enemy targets based on artificial intelligence.

In addition, information on a target may be automatically acquired in a visible region to which one user's gaze is directed and a region other than the visible region among a plurality of users located in the battlefield situation.

In addition, information on the acquired target may be displayed to one user and other users. Accordingly, information on a target located in a battlefield situation can be effectively shared.

In addition, by displaying the acquired information on the target as image data or text data, a plurality of users can effectively grasp information on the target.

1 is a diagram illustrating a relationship between an information providing apparatus and a user according to an embodiment of the present invention.
2 is a diagram illustrating a structure of an information providing apparatus according to an embodiment of the present invention.
3 is a diagram illustrating a state in which target information is acquired in a battlefield situation.
4 is a view showing a state of identifying information on a target and sharing information.
5 is a diagram illustrating a state in which information on a target is learned by artificial intelligence.
6 is a flowchart illustrating an information sharing method according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in more detail with reference to the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but will be implemented in various different forms, and only these embodiments allow the disclosure of the present invention to be complete, and the scope of the invention to those of ordinary skill in the art completely It is provided to inform you. In order to explain the invention in detail, the drawings may be exaggerated, and like reference numerals refer to like elements in the drawings.

1 is a diagram illustrating a relationship between an information providing apparatus and a user according to an embodiment of the present invention, and FIG. 2 is a diagram illustrating a structure of an information providing apparatus according to an embodiment of the present invention.

The information providing apparatus 100 according to an embodiment of the present invention uses the signal receiving unit 110 for receiving a signal transmitted from the target P, and artificial intelligence to receive information about the target peer from the signal received from the signal receiving unit. The information acquisition unit 120 for acquiring and the information sharing unit 130 for sharing the information on the target acquired by the information acquisition unit 120 to a plurality of users (User 1, User 2, User 3, User 4) may include

A device that is provided to a plurality of users to share information on the battlefield situation, the signal receiver 110 for acquiring information on the battlefield situation, learns in advance about the target based on artificial intelligence, detects the target using the learned information, , the information acquisition unit 120 for identifying the peer information of the detected target, and the information sharing unit 130 for sharing the identification result of the information acquisition unit 120 to a plurality of users through a data link. In addition, the information providing apparatus 100 converts information about the target into image data or text data to obtain information by a user (eg, user 2) and a plurality of users (user 1, user 2, user 3, user 4) It may further include a display unit 140 to display to.

In addition, the information providing apparatus 100 may further include a display unit 140 that converts information on the determined enemy target P into image data or text data and displays it to a user (user 2) who obtains a signal. may be

Meanwhile, the aforementioned enemy target P may be an object recognizable by a user, for example, a military vehicle or a tank.

Meanwhile, the information providing apparatus 100 may be provided to a plurality of users (User 1 , User 2 , User 3 , and User 4 ), respectively. That is, a plurality of users may each have the signal receiving unit 110 , the information obtaining unit 120 , the information sharing unit 130 , and the display unit 140 . Alternatively, only the signal receiving unit 110 and the display unit 140 are provided to a plurality of users (User 1, User 2, User 3, and User 4), respectively, and the information obtaining unit 120 and the information sharing unit 130 are centrally located. It can also be provided as a control system. That is, a plurality of users may share the information obtaining unit 120 and the information sharing unit 130 . In an embodiment of the present invention, the signal receiving unit 110, the information obtaining unit 120, the information sharing unit 130, and the display unit 140 are provided to a plurality of users (User 1, User 2, User 3, User 4), respectively. A case in which it is provided will be described as an example.

1 and 2 , the signal receiver 110 may acquire a signal related to a battlefield situation. That is, the signal receiver 110 may acquire a signal containing information about the enemy target P in a battlefield situation. The signal receiving unit 110 may include an optical measuring unit 111 and a transmitting unit 114 . That is, the signal receiving unit 110 acquires a signal by capturing an actual image of the visible region to which the user's gaze is directed through the optical measuring unit 111 , so that it is possible to obtain information about the presence or location of the enemy target P.

Hereinafter, a user who has obtained a signal regarding the enemy target P among a plurality of users is referred to as a sensing user (user 2), and a user who has not obtained a signal regarding the enemy target P is referred to as a non-received user (user 1, user). 3, User 4). That is, the sensing user sees the enemy target P in the visible area, or does not see the enemy target P in the visible area, but through the signal receiving unit 110, information on the presence and location of the enemy target P It may be a user who has obtained a signal related to the On the other hand, the non-received user may be a user in which the enemy target P does not exist in the visible region and does not acquire a signal related to the enemy target P.

More specifically, the optical measurement unit 111 may acquire a signal regarding the enemy target P by photographing an actual image of the visible region toward which the user's gaze is directed. That is, the optical measurement unit 111 may acquire a visualized signal. Here, the visible area may be an area that the user can see with his or her eyes based on the true north direction to which each user's gaze is directed. That is, the visible area may be a predetermined space radially extending along the true north direction with respect to the user. Meanwhile, in the following description, a direction in which the user's gaze is directed is referred to as a true north direction. Accordingly, through the optical measurement unit 111, the user can acquire the presence or absence of the enemy target P and the location information through the actual image.

In addition, the signal receiving unit 110 may further include an electromagnetic measuring unit 112 and a sound wave measuring unit 113 . In addition, since the signal receiver 110 detects a region other than the visible region through the electromagnetic measurement unit 112 and the sound wave measurement unit 113 to obtain a signal of the enemy target P, the presence of the enemy target P and location information.

The electromagnetic measurement unit 112 may acquire a signal regarding the enemy target P through the straightness of the radio wave. That is, the electromagnetic measurement unit 112 may acquire an electromagnetic signal. For example, the electromagnetic measuring unit 112 periodically emits radio waves and measures the time until the time when the ejected radio waves receive the reflected reflected wave to determine the presence of the enemy target P and the direction and distance of the enemy target. can be measured. For example, the electromagnetic measurement unit 112 may include a radar. Accordingly, the user may acquire information on the enemy target P in a region other than the visible region through the electromagnetic measurement unit 112 . That is, it is possible to provide suitable information to the user by acquiring information on a nearby area of the visible area, rather than monitoring only a specific area.

The sound wave measurement unit 113 may acquire a signal regarding the enemy target P by emitting ultrasonic waves. That is, the sound wave measurement unit 113 may obtain an audio signal. For example, the sound wave measurement unit 113 may generate high-frequency sound vibrations and acquire information on the enemy target P based on a principle in which the resonance is captured. For example, the sound wave measurement unit 113 may include a sonar sensor. Accordingly, the user may acquire information on the enemy target P in an area other than the visible area through the sound wave measurement unit 113 .

The transmitter 114 is connected to the optical measurement unit 111, the electromagnetic measurement unit 112, and the sound wave measurement unit 113, respectively, and the optical measurement unit 111, the electromagnetic measurement unit 112, and the sound wave measurement unit 113. A signal obtained through , may be transmitted to the information obtaining unit 120 . Meanwhile, the transmitter 114 may transmit the acquired signal to the information acquisition unit 120 without converting it into image data, or may convert the acquired signal into image data and then transmit it to the information acquisition unit 120 . Hereinafter, a case in which the transmitter 114 transmits the acquired signal to the information acquirer 120 without converting it into image data will be exemplarily described.

Meanwhile, the signal receiver 110 may further include an auxiliary information acquirer (not shown) capable of acquiring status information of a plurality of users. As described above, the auxiliary information obtainer is provided to a plurality of users (User 1, User 2, User 3, User 4), respectively, and may be connected to each other over a network communication network. For example, the auxiliary information obtainer may obtain status information of a plurality of users (User 1, User 2, User 3, and User 4) by using the Internet of Things (Iot). Here, the auxiliary information acquirer converts information on the presence or absence of each of the plurality of users, the amount of ammunition, and the driving state of the weapon into power data through the Internet of Things (IoT) method, and can classify the converted power data for each set section. Here, the auxiliary information acquirer may divide the power data of each of the plurality of users into, for example, grades 1 to 4 and classify them. Accordingly, the auxiliary information obtainer may divide the power information of each of the plurality of users for each section and obtain each power data.

3 is a view showing a state of acquiring information on a target in a battlefield situation, FIG. 4 is a diagram showing a state of identifying information on a target and sharing information, and FIG. 5 is a diagram illustrating information on a target with artificial intelligence It is a drawing showing the appearance.

1 to 5 , the information acquisition unit 120 learns in advance about the enemy target P and the ally based on artificial intelligence, and detects the enemy target P using the learned information, and detects It is possible to identify the enemy of the enemy target (P). Here, the peer of the enemy target P may relate to whether the identity of the enemy target P is a friend or an enemy.

Referring to FIG. 5 , the information acquisition unit 120 can learn by collecting image data and storing and extracting the collected image data using an artificial intelligence-based deep neural network. In addition, the information acquisition unit 120 ) can detect the enemy target (P) to determine the enemy to the enemy target (P).

Here, artificial intelligence may include deep learning to cluster or classify image data. In addition, the deep neural network may include a convolutional neural network that extracts features of image data and learns patterns of features through an overlapping process and an integration process. To this end, the information acquisition unit 120 may include an image storage unit 121 , an image conversion unit 122 , an image identification unit 123 , and an image identification unit 124 .

The image storage unit 121 may pre-store image data for information of the enemy target P, or may store in advance a signal converted into image data through the image conversion unit 122 . That is, the image storage unit 121 may know in advance the general shape and structure of the enemy target P through image data regarding the enemy target P.

In addition, the image storage unit 121 may additionally store image data transmitted in real time from the signal receiving unit 110 , in which the signal is converted into image data through the image converting unit 122 . That is, in addition to the preset image data for the enemy target P, the image data for the floating target P may be updated and stored.

In addition, the image storage unit 121 may additionally store image data used in the identification process after the identification of the enemy target P through the image identification unit 123 is finished. That is, the image data used in the identification process can be used to learn after the identification process is completed. Accordingly, the image storage unit 121 may have clearer image data of the enemy target through the image data transmitted from the signal receiving unit 110 .

On the other hand, the image storage unit 121 may store the image data for the ally while including the image in the image data of the enemy target (P). That is, the image storage unit 121 may divide and store the image data of the enemy target P by dividing the image of the friendly target or the image of the enemy target in the image data of the enemy target P.

Also, the image storage unit 121 may store power data together with image data for friendly and enemy targets P. That is, the image storage unit 121 may store power data by including power data in the image data of friendly and enemy targets, respectively. Here, the power data may refer to information on the presence or absence of weapons, the amount of ammunition held, and the driving state of the weapon. Accordingly, the storage member can classify the friendly and enemy targets P according to the power data, for each set section. Here, the set section may be, for example, grades 1 to 4.

As described above, the image converter 122 may convert the signal transmitted from the signal receiver 110 into image data. Here, the image conversion unit 122 may convert at least one of a visualized signal, an audio signal, and an electromagnetic signal into image data. Accordingly, even if any signal among the visualized signal, the auditory signal, and the electromagnetic signal is transmitted through the transmitter 114, it can be easily converted into image data.

The image identification unit 123 compares the image data previously stored in the image storage unit 121 with the image data transmitted in real time from the signal receiving unit 110 to detect whether there is a target in the battlefield situation (ie, the presence of a target). can do. More specifically, the image identification unit 123 may extract image data previously stored in the image storage unit 121 to learn about the friendly and enemy targets P. As described above, based on artificial intelligence, image data previously stored in the image storage unit 121 may be grouped. Thereafter, the process of overlapping and integrating the clustered image data is repeated, and the friendly and enemy targets P can be learned. Thereafter, the image data transmitted in real time from the signal receiver 110 may be compared with image data for the friendly and enemy targets P learned in advance. At this time, the image identification unit 123 recognizes the pattern of the image data transmitted in real time from the signal receiving unit 110, and if it is determined that there is an overlapping pattern between the learned image data, it is detected that the target exists in the battlefield situation. can do.

The image identification unit 123 may operate when detecting a target. That is, the image identification unit 123 may determine the target peer using the sensed information. Here, the pia may relate to whether the identity of the target is a friendly target or an enemy target (P).

More specifically, the image identification unit 123 receives image data for the target from the image storage unit 121 based on artificial intelligence, and divides the image data into images for friendly and enemy targets P, respectively, and clusters them. can do it Thereafter, the process of overlapping and integrating the clustered image data is repeated, and each image of the friendly and enemy targets P can be learned according to a certain shape, form, or type. That is, it is possible to learn by patterning each image of an ally and an enemy.

Here, the image data may include an image of the target. The image identification unit 123 may identify the target peer by comparing each image of the learned target P and the image data transmitted from the image identification unit 123 . That is, the image identification unit 123 recognizes the image pattern of the input image data, finds a matching pattern among the respective image patterns for the grouped friendly and enemy targets (P), and determines whether it is a friendly or an enemy target (P). can do.

Also, the information obtaining unit 120 may further include an image determining unit 124 . The image discrimination unit 124 may compare the power data of the identified enemy target P with the power data of the non-received users (ie, allies) to determine the non-received user having superior power data. For example, when the power data of the identified enemy target P is level 2, the image discrimination unit 124 may determine a non-received user (ie, friend) whose power data is level 1.

The information sharing unit 130 uses the information determined by the information acquisition unit 120 to provide information on the enemy target P to other users (User 1, User 3, and User 4) who did not recognize the enemy target P. can be shared That is, in addition, the information providing device 100 can share information on the enemy target P to other users (eg, user 1, user 3, user 4) who do not recognize the enemy target P, so that information on the enemy target P can be shared. It may further include a sharing unit 130 , that is, the information providing apparatus 100 allows a user who senses the enemy target P to use the information sharing unit 130 to allow a plurality of users (User 1, User 2, and User). It is also possible to provide information about the enemy target P to a user located in a position within the battlefield situation among users 4) or a user located outside the battlefield situation.

The information sharing unit 130 uses the information determined by the information acquisition unit 120 to give other users (eg, user 1, user 3, user 4) that do not recognize the enemy target P to the enemy target P. information can be shared. The information sharing unit 130 may include a reception determination unit 131 , an ally position measurement unit 132 , and an ally transmission unit 133 .

The reception determination unit 131 may determine a non-received user among a plurality of users (User 1 , User 2 , User 3 , and User 4 ). As described above, the reception determination unit 131 is provided to a plurality of users (User 1, User 2, User 3, User 4), respectively, and may be connected to each other over a network communication network. Accordingly, the reception determination unit 131 determines whether the information on the enemy target P has been acquired by the signal reception unit 110, and a non-received user among a plurality of users (User 1, User 2, User 3, User 4). can be judged

The friendly position measurement unit 132 may check the positions of non-received users (eg, user 1, user 3, and user 4) based on the detected user (ie, user 2) who has obtained information about the enemy target P. . That is, the friendly position measuring unit 132 may measure the relative angles and relative distances of the non-received users (eg, user 1, user 3, and user 4) with respect to the sensing user (ie, user 2). Here, the friendly position measuring unit 132 may calculate the relative position information of the non-received users by using, for example, GPS satellite information. In addition, the friendly location measurement unit 132 may further include a GNSS or gyro sensor to measure the location of each of a plurality of users outdoors using a Bluetooth or Wi-Fi beacon method.

The friendly transmission unit 133 may set a priority for each communication network among the communication networks of non-received users, and transmit information about the identified enemy target P through the data link. Here, the priority criterion set by the friendly transmission unit 133 may follow a preset priority. That is, the friendly transmission unit 133 may set priorities among a plurality of users (User 1, User 2, User 3, User 4) in advance.

Also, the friendly transmission unit 133 may sequentially list the communication networks of non-received users according to the priority based on the set priority, and transmit information about the identified enemy target P according to the listed order. Here, the friendly transmission unit 133 may set the order in a way that sets the communication network of the user in the upper command system more superior. Accordingly, since the friendly transmission unit 133 transmits information about the enemy target from the user in the upper command system, it is possible to quickly locate a non-received user whose power data level is higher than that of the enemy target P at the corresponding location.

The friendly information conversion unit 134 may convert the data in the KVMF format into data in the C4I format. As described above, the friendly transmission unit 133 compares the power data of the non-received user (ie, friendly) with the power data of the enemy target (P) from the image discrimination unit 124 as data in KVMF format. can be sent Accordingly, the data in the KVMF format may be converted into data in the C4I format through the friendly information conversion unit 134 . Here, C4I may be a tactical command automation system that can three-dimensionally check the battlefield situation by automating command, control, communication, computer, and intelligence. Accordingly, when using C4I, power data of each of a plurality of users is integrated into one information network in a battlefield situation, and information on major battlefield situations can be shared between a plurality of users in real time through wired or wireless communication. . Meanwhile, the ally information conversion unit 134 may convert C4I format data into KVMF format data.

The display unit 140 may convert information on the determined enemy target P into image data or text data and display it to a user (eg, user 2) who has obtained a signal. The display unit 140 may include a first conversion unit 141 , a second conversion unit 142 , and a display unit 143 .

The first conversion unit 141 may convert information about the enemy target P into a picture category. That is, the first conversion unit 141 may convert the information on the enemy target P determined by the information acquisition unit 120 , that is, the type (ie, type) of the enemy target P into a picture category. Accordingly, information corresponding to the identified enemy target P may be converted into a picture image, that is, a photo of the enemy target P, and the user may check information of the enemy target P as a photograph.

The second conversion unit 142 may convert the information on the enemy target P into a text category and a number category. That is, the second conversion unit 142 converts the information on the enemy target determined by the information acquisition unit 120 , that is, the relative position (ie, relative angle and relative distance) of the enemy target P, into a text category and a number category. can do. Accordingly, information corresponding to the identified enemy target P may be converted into letters and numbers, and the user may check information on the enemy target, ie, relative angles and relative distances, in letters and numbers.

The display unit 143 may display information about the enemy target P converted into a picture category, a text category, and a number category to the user. For example, the display unit 143 may be provided as a display. That is, the display unit 143 may display the information so that the user can visually check the information. Accordingly, since the display unit 143 displays a photo of the enemy target P and displays the relative angle and relative distance information of the enemy target P in the form of letters and numbers, the user can display information about the enemy target P can be checked more effectively.

On the other hand, a method of using the information providing device 100 to search for the enemy target P and to share the searched information will be described while explaining the information sharing method.

6 is a flowchart illustrating an information sharing method according to an embodiment of the present invention.

A method of providing information on a target by being provided to a plurality of users (User 1, User 2, User 3, and User 4) according to an embodiment of the present invention, wherein one user receives a signal transmitted from the target ( S110), using a signal acquired in real time based on artificial intelligence, includes a process (S120) of acquiring information about the peer information of a target and a process of sharing information about the target to a plurality of users (S130) can do.

Also, the information providing method may include a process ( S140 ) of displaying information about the enemy target P to one user (eg, user 2 ).

First, in a battlefield situation, one user (eg, user 2) may acquire a signal (S110). That is, the optical measuring unit 111 , the electromagnetic measuring unit 112 , and the sound wave measuring unit 113 of the signal receiving unit 110 may obtain a visualized signal, an electromagneticized signal, and an auditory signal, respectively. Thereafter, the signal obtained through the optical measurement unit 111 , the electromagnetic measurement unit 112 , and the sound wave measurement unit 113 may be transmitted to the information acquisition unit 120 by using the acquired signal transmission unit 114 .

Thereafter, the information acquisition unit 120 can learn in advance about the friendly target and the enemy target P by using the information of the preset enemy target P and the image information photographed from the signal receiving unit 110 based on artificial intelligence. There is (S120). That is, through the information acquisition unit 120 , each of the friendly target and the enemy target P may be separately learned. Here, the information acquisition unit 120 extracts a pattern of image data by repeating the process of overlapping the preset information of the friendly and enemy target P and the captured image information, and extracting the pattern of the image data, and can learn the extracted pattern. have.

Thereafter, a target in a battlefield situation may be detected using the information obtained in real time, and a foe of the target may be identified according to the detection result. That is, the image identification unit 123 may be used to compare the pre-stored enemy target P information with the acquired target information. Here, the image pattern of the image data transmitted in real time through the image identification unit 123 is recognized, and the matching pattern is found among the image patterns of the grouped friendly and enemy targets P to determine whether the target is a friendly or an enemy target. can be identified.

Thereafter, when the target is the enemy target P, information on the enemy target P may be shared with non-received users (eg, User 1, User 3, and User 4) who do not detect the enemy target P (S140). ). In this case, the information sharing unit 130 may sequentially list the communication networks of non-received users according to the priority based on the set priority, and transmit information about the identified enemy target P according to the listed order. Here, the information sharing unit 130 may set the ranking in such a way that the communication network of the user in the upper command system has a higher priority. Accordingly, since the information sharing unit 130 transmits information about the enemy target from the user in the upper command system, it is possible to quickly locate a non-received user whose power data level is higher than that of the enemy target P at the corresponding location.

In addition, information about the identified enemy target P may be displayed using the display unit 140 . That is, it is possible to convert the position of the enemy target P and the type (ie, type) of the enemy target P into image data and text data to be displayed on the display to the sensing user. Accordingly, the sensing user can confirm the type of the identified enemy target P as a photo, and confirm the position in the form of letters and numbers.

In this way, it is possible to detect and identify targets in battlefield situations by learning in advance about friendly and enemy targets based on artificial intelligence. In addition, information on a target may be automatically acquired in a visible region to which one user's gaze is directed and a region other than the visible region among a plurality of users located in the battlefield situation. In addition, information on the acquired target may be displayed to one user and other users. Accordingly, information on a target located in a battlefield situation can be effectively shared. In addition, by displaying the acquired information on the target as image data or text data, a plurality of users can effectively grasp information on the target.

As such, although specific embodiments have been described in the detailed description of the present invention, various modifications are possible without departing from the scope of the present invention. Therefore, the scope of the present invention should not be limited to the described embodiments, but should be defined by the claims to be described below as well as the claims and equivalents.

100: information providing device 110: signal receiving unit
120: information acquisition unit 130: information sharing unit
140: display unit P: enemy target

Claims (16)

a signal receiving unit for receiving a signal transmitted from the target;
Using artificial intelligence, the target friend information is obtained from the signal received by the signal receiving unit, and it is possible to detect whether the target is an enemy target or a friendly target. If the target is an enemy target, the type of the enemy target is determined capable information acquisition unit; and
and an information sharing unit for sharing the information on the target acquired by the information acquisition unit to non-received users who have not received the signal transmitted from the target among a plurality of users; and
The information acquisition unit stores and extracts the image data stored using the deep neural network based on artificial intelligence and the image data set converted from the signal received by the signal receiving unit,
The deep neural network extracts and classifies features of the stored image data and the converted image data through an overlapping process and an integration process,
The information acquisition unit,
an image storage unit configured to pre-store the stored image data for a set enemy target or to pre-store the converted image data;
an image conversion unit for converting the signal received from the signal receiving unit into image data; and
and an image identification unit for extracting the stored image data from the image storage unit and matching the converted image data to identify a type of an enemy target. a signal receiving unit for receiving a signal transmitted from the target;
It is possible to learn in advance about the enemy information of the target by using artificial intelligence, obtain information about the enemy of the target from the signal received from the signal receiving unit through the learned information, and detect whether the target is an enemy target or a friend an information acquisition unit capable of determining a type of the enemy target when the target is an enemy target; and
Including; an information sharing unit for sharing the information on the target acquired by the information acquisition unit to the non-received users who have not received the signal transmitted from the target among a plurality of users,
The information acquisition unit stores and extracts the image data stored using the deep neural network based on artificial intelligence and the image data set converted from the signal received by the signal receiving unit,
The deep neural network extracts and classifies features of the stored image data and the converted image data through an overlapping process and an integration process,
The information acquisition unit,
an image storage unit configured to pre-store the stored image data for a set enemy target or to pre-store the converted image data;
an image conversion unit for converting the signal received from the signal receiving unit into image data; and
and an image identification unit for extracting the stored image data from the image storage unit and matching the converted image data to identify a type of an enemy target. delete delete delete The method according to claim 1,
The image storage unit is an information providing device for storing the image of the converted image data for the friendly force and the image of the converted image data for the enemy target, respectively. The method according to claim 1,
The image identification unit is configured to compare the images of each of the stored image data for the friendly and the enemy targets with the images of the converted image data to determine peer information and types of targets. a signal receiver for receiving a signal transmitted from the target;
Using artificial intelligence, the target friend information is obtained from the signal received from the signal receiver, and it is possible to detect whether the target is an enemy target or a friendly target, and when the target is an enemy target, the type of the enemy target is determined capable information acquisition unit; and
and an information sharing unit for sharing the information on the target acquired by the information acquisition unit to non-received users who have not received the signal transmitted from the target among a plurality of users; and
The information acquisition unit stores and extracts the image data stored using the deep neural network based on artificial intelligence and the image data set converted from the signal received by the signal receiving unit,
The deep neural network extracts and classifies features of the stored image data and the converted image data through an overlapping process and an integration process,
The information sharing unit, an information providing apparatus for setting a priority among the non-received users, and sharing the information of the target according to the set priority. 9. The method of claim 8,
The information sharing unit,
a reception determination unit for determining a non-received user among the plurality of users;
a friendly position measuring unit for measuring the positions of each of the non-received users based on the user who sensed the target; and
An information providing device including a; a friendly transmission unit that sets priorities in the communication network of the non-received users and transmits information through a data link. a signal receiving unit for receiving a signal transmitted from the target;
Using artificial intelligence, the target friend information is obtained from the signal received from the signal receiver, and it is possible to detect whether the target is an enemy target or a friendly target, and when the target is an enemy target, the type of the enemy target is determined capable information acquisition unit; and
and an information sharing unit for sharing the information on the target acquired by the information acquisition unit to non-received users who have not received the signal transmitted from the target among a plurality of users; and
The information acquisition unit stores and extracts the image data stored using the deep neural network based on artificial intelligence and the image data set converted from the signal received by the signal receiving unit,
The deep neural network extracts and classifies features of the stored image data and the converted image data through an overlapping process and an integration process,
The signal receiving unit,
an optical measurement unit for receiving an infrared signal in the battlefield situation of each of the plurality of users;
and a transmitting unit that converts the information of the optical measuring unit into image data and transmits the converted information to the information obtaining unit. A method for providing information about a target by being provided to a plurality of users, respectively,
a process in which a user receives a signal transmitted from a target;
a process of acquiring information about the peer information of the target using a signal acquired in real time based on artificial intelligence; and
Including; sharing information about the target to a plurality of users;
The process of acquiring information on the target includes pre-stored information on the enemy target using preset enemy target information and the acquired signal, and a process of pre-stored information on the enemy target based on an artificial intelligence-based deep neural network. Comprising the process of comparing the image data and the image data converted from the received signal and the process of determining the relative position of the enemy target with respect to the one user by using the acquisition direction of the signal,
The process of comparing the stored image data and the image data converted from the received signal,
converting the received signal into the converted image data; and
matching the converted image data and the stored image data with each other;
Information sharing method comprising a; the process of determining the type of the enemy target corresponding to the matched image data. delete delete 12. The method of claim 11,
The process of determining the type of the enemy target is
extracting an image of the target from the stored image data; and
An information sharing method comprising a process of matching a corresponding type of an enemy target corresponding to the extracted image. A method for providing information about a target by being provided to a plurality of users, respectively,
a process in which a user receives a signal transmitted from a target;
a process of acquiring information about the peer information of the target using a signal acquired in real time based on artificial intelligence; and
Including; sharing information about the target to a plurality of users;
The process of acquiring information on the target includes pre-stored information on the enemy target using preset enemy target information and the acquired signal, and a process of pre-stored information on the enemy target based on an artificial intelligence-based deep neural network. Comprising the process of comparing the image data and the image data converted from the received signal and the process of determining the relative position of the enemy target with respect to the one user by using the acquisition direction of the signal,
The process of sharing information about the target to a plurality of users,
An information sharing method of setting priorities among the plurality of users, and sequentially sharing information on types of enemy targets according to the set priorities. 12. The method of claim 11,
Displaying the information about the target to the one user; further comprising,
The step of displaying the information on the target to the one user includes displaying the location of the target and the type of the target as image data and text data to the one user.

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