KR20230077565A - Collaboration-based intelleigent video security system, server, cooperating server and method of analyzing video based on cooperation thereof - Google Patents

Abstract

A collaboration-based intelligent video security system is provided. The system captures an image and receives and manages one or more edge cameras that generate first image analysis information by analyzing the captured image, the image, first image analysis information, and edge camera detailed information from the edge camera, An integrated control server that performs collaborative processing for interworking between the edge camera and the video analysis server, and video analysis that receives the video and edge camera detailed information from the integrated control server and generates second video analysis information obtained by analyzing the video. The first video analysis information and edge camera detailed information are received from the server and the integrated control server, the second video analysis information is received from the video analysis server, and collaboration control information is generated, and the collaboration control information is converted into the video analysis information. It includes a server and an intelligent collaboration server provided to the edge camera through the integrated control server.

Description

Collaboration-based intelligent video security system, intelligent collaboration server, and collaboration-based video analysis method thereof

The present invention relates to a collaboration-based intelligent video security system, an intelligent collaboration server, and a collaboration-based video analysis method thereof.

For interworking between cameras and integrated control systems, ONVIF (Open Network Video Interface Forum) standard is mainly applied at home and abroad. In addition, standardization of system requirements for image security systems, video transmission protocols, analog and digital interfaces, etc. is promoted by the International Electrotechnical Commission (IEC) and TTA.

However, domestic and foreign standards and methods for operating an intelligent video security system for collaboration between edge cameras, integrated control systems, and video analysis systems are insufficient.

Accordingly, there is a need for a technology that enables edge camera control and event collision determination by collaborating with the analyzed information from the edge camera and video analysis system in an intelligent video security system and applying a collaboration technology based on this.

Patent Publication No. 10-2015-0072255 (2015.06.29)

In developing an intelligent video security system that provides high video analysis accuracy, an embodiment of the present invention secures high reliability of video analysis by providing an intelligent video analysis method through collaboration between an edge camera, an integrated control server, and a video analysis server. And it provides a collaboration-based intelligent video security system, an intelligent collaboration server, and a collaboration-based video analysis method capable of adaptively linking and controlling collaboration to various situational information.

However, the technical problem to be achieved by the present embodiment is not limited to the technical problem as described above, and other technical problems may exist.

As a technical means for achieving the above-described technical problem, the collaboration-based intelligent video security system according to the first aspect of the present invention captures an image and generates first image analysis information obtained by analyzing the captured image at least one edge camera. , An integrated control server that receives and manages the video, first video analysis information, and edge camera detailed information from the edge camera, and performs collaborative processing for interworking between the edge camera and the video analysis server, from the integrated control server A video analysis server that receives video and edge camera detailed information and generates second video analysis information by analyzing the video, and receives the first video analysis information and edge camera detailed information from the integrated control server, and the video analysis server and an intelligent collaboration server for generating collaboration control information by receiving second video analysis information from the video analysis server and providing the collaboration control information to the edge camera through the video analysis server and the integrated control server.

In some embodiments of the present invention, when there are a plurality of edge cameras, the integrated control server may store and manage the image, first image analysis information, and detailed edge camera information for each of the plurality of edge cameras.

In some embodiments of the present invention, the image analysis server may generate second image analysis information obtained by analyzing object information and event information by analyzing the image based on deep learning.

In some embodiments of the present invention, the intelligent collaboration server determines whether control of the edge camera is necessary based on the first and second image analysis information, and if necessary as a result of the determination, collaborative control for the edge camera. Information is generated and provided to the integrated control server, but the collaboration control information may include an ID of the edge camera, internal function control information of the edge camera, and PTZ setting information of the edge camera.

In some embodiments of the present invention, the intelligent collaboration server determines whether a collision between events detected in the first and second video analysis information has occurred based on the first and second video analysis information, and the determination When a resultant event collision occurs, the collaboration control information for requesting a reanalysis of the video may be generated by the video analysis server.

In addition, the intelligent collaboration server for collaboration-based video analysis and edge camera control according to the second aspect of the present invention includes a communication module for transmitting and receiving data to and from the integrated control server and video analysis server, a program for collaboration-based analysis and edge camera control As the stored memory and the program stored in the memory are executed, edge camera detailed information corresponding to first image analysis information analyzed by one or more edge cameras is received from the integrated control server through the communication module, and the edge camera details are received. Receiving second image analysis information obtained by analyzing an image based on an image captured by a camera and edge camera detailed information from the image analysis server, and generating collaboration control information based on the first and second image analysis information, , A processor providing the collaboration control information to the edge camera through the video analysis server and the integrated control server.

In some embodiments of the present invention, the processor determines whether control of the edge camera is necessary based on the first and second image analysis information, and if necessary as a result of the determination, provides collaborative control information for the edge camera. Created and provided to the integrated control server, the collaboration control information may include an ID of the edge camera, internal function control information of the edge camera, and PTZ setting information of the edge camera.

In some embodiments of the present invention, the processor determines whether a collision between events detected in the first and second image analysis information has occurred based on the first and second image analysis information, and the event as a result of the determination When a collision occurs, reanalysis of the image may be requested to the image analysis server.

In addition, a collaboration-based video analysis method in an intelligent collaboration server according to a third aspect of the present invention includes the steps of receiving first video analysis information analyzed by one or more edge cameras through an integrated control server; Receiving second image analysis information obtained by analyzing an image based on the image captured by the edge camera and detailed information of the edge camera from the image analysis server; generating collaboration control information based on the first and second image analysis information; and providing the collaboration control information to the edge camera through the video analysis server and the integrated control server.

In addition to this, another method for implementing the present invention, another system, and a computer readable recording medium recording a computer program for executing the method may be further provided.

According to one embodiment of the present invention described above, it is possible to enable collaborative interworking between the edge camera, the video analysis server, and the integrated control server.

In particular, it has the advantage of being able to secure the reliability of image analysis in environments that require accuracy and real-time of image analysis, such as national defense and security fields, and to respond adaptively to various environments. This has the advantage of maximizing personal safety and crime prevention effects.

The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

1 is a diagram for explaining an intelligent video analysis system according to the prior art.
2 is a diagram for schematically explaining a collaboration-based intelligent video security system according to an embodiment of the present invention.
3 is a block diagram of a collaboration-based intelligent video security system according to an embodiment of the present invention.
4 is a block diagram of an intelligent collaboration server according to an embodiment of the present invention.
5 is a flowchart of a collaboration-based video analysis method performed by a collaboration-based intelligent video security system according to an embodiment of the present invention.
6 is a diagram for explaining contents of generating control information for PTZ control of an edge camera.
7 is a diagram illustrating event recognition results before and after performing PTZ control of an edge camera.
8 is a diagram for explaining contents of generating information for requesting image reanalysis upon event collision.

Advantages and features of the present invention, and methods of achieving them, will become clear with reference to the detailed description of the following embodiments taken in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, only these embodiments are intended to complete the disclosure of the present invention, and are common in the art to which the present invention belongs. It is provided to fully inform the person skilled in the art of the scope of the invention, and the invention is only defined by the scope of the claims.

Terminology used herein is for describing the embodiments and is not intended to limit the present invention. In this specification, singular forms also include plural forms unless specifically stated otherwise in a phrase. As used herein, "comprises" and/or "comprising" does not exclude the presence or addition of one or more other elements other than the recited elements. Like reference numerals throughout the specification refer to like elements, and “and/or” includes each and every combination of one or more of the recited elements. Although "first", "second", etc. are used to describe various components, these components are not limited by these terms, of course. These terms are only used to distinguish one component from another. Accordingly, it goes without saying that the first element mentioned below may also be the second element within the technical spirit of the present invention.

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used with meanings commonly understood by those skilled in the art to which the present invention belongs. In addition, terms defined in commonly used dictionaries are not interpreted ideally or excessively unless explicitly specifically defined.

Hereinafter, in order to help the understanding of those skilled in the art, the background in which the present invention is proposed will be described first, and then the embodiments of the present invention will be described.

1 is a diagram for explaining an intelligent video analysis system according to the prior art.

An intelligent video analysis system according to the prior art includes one or more edge cameras 10, an integrated control server 20, and a video analysis server 30.

This intelligent video analysis system performs server-based video analysis and edge camera (device)-based video analysis according to the subject of analysis.

At this time, the server-based image analysis method refers to a centralized method in which an image captured by the edge camera 10 is received by the image analysis server 30 and image analysis is performed. This server-based video analysis method is easy to improve algorithms and has high analysis accuracy, but there are problems in that excessive server construction costs occur and it is heavily influenced by surrounding infrastructure such as networks and platforms. In addition, if an error occurs in the server itself, there is a problem in that image analysis of the entire system is impossible.

The edge camera-based image analysis method refers to a method of performing image analysis at a terminal stage by embedding an image analysis algorithm in the edge camera 10 . This image analysis method has the advantage of being able to perform image analysis even when the server is not operating, but has a problem in that the range and performance of spiritual analysis are limited and it is difficult to rapidly improve the analysis algorithm compared to the server-type image analysis method.

Therefore, there is a need for a technology capable of supplementing the disadvantages of each other by using both the server-based image analysis method and the edge camera-based image analysis method.

In order to solve this problem, an embodiment of the present invention is a composite method combining a server-based image analysis method and an edge camera-based image analysis method, and supplements the disadvantages of the two methods, and in particular, video analysis such as defense boundary surveillance In an environment where accuracy and real-time analysis are required, multi-processing of image analysis ensures high reliability of image analysis and enables cooperative linkage and control adaptively to situational information.

Hereinafter, a collaboration-based intelligent video security system and an intelligent collaboration server according to an embodiment of the present invention will be described with reference to FIGS. 2 to 4 .

2 is a diagram for schematically explaining a collaboration-based intelligent video security system according to an embodiment of the present invention. 3 is a block diagram of a collaboration-based intelligent video security system according to an embodiment of the present invention. 4 is a block diagram of an intelligent collaboration server 100 according to an embodiment of the present invention.

An intelligent video security system according to an embodiment of the present invention includes one or more edge cameras 400, an integrated control server 200, a video analysis server 300, and an intelligent collaboration server 100. Meanwhile, each server can be linked based on REST API.

One or more edge cameras 400 may be provided, and images are captured at the installation location. Each of these edge cameras 400 has an algorithm for image analysis built-in to generate first image analysis information obtained by analyzing an image captured by the edge camera 400 .

Each edge camera 400 transmits the image capturing and first image analysis information to the integrated control server 200 as they are generated. Here, the first image analysis information may include identification information of the edge camera 400, a frame number, and information (size information, location information, event type information, etc.) of a detected object or event.

In addition, when each edge camera 400 transmits the video and the first video analysis information to the integrated control server 200, it provides its own edge camera detailed information together. Here, the edge camera detailed information may include an edge camera ID, a camera installation location, PTZ (Pan, Tilt, and Zoom) information and camera type information during shooting.

The integrated control server 200 receives and manages video, first video analysis information, and edge camera detailed information from the edge camera 400 . At this time, when there are a plurality of edge cameras 400, the integrated control server 200 stores and manages images, first image analysis information, and detailed edge camera information for each of the plurality of edge cameras 400. In addition, collaboration processing for interworking between the edge camera 400 and the image analysis server 300 is performed.

The video analysis server 300 receives the video captured by the edge camera 400 and detailed edge camera information from the integrated control server 200, and based on this, performs video analysis based on deep learning to provide object information and event information. Analyzing the second image analysis information is generated. The video analysis server 300 provides the second video analysis information to the integrated control server 200 and the intelligent collaboration server 100, respectively.

Here, the second image analysis information includes edge camera ID, frame number, anomaly symptom type, anomaly symptom area of interest, weather type, number of detected objects, object ID, object type, X, Y coordinates of the detected object, and detected object area. Information such as width and height information, ratio, color, shape, and movement speed of the detected object may be included.

For reference, the first image analysis information analyzed by the edge camera 400 generates lower performance analysis information than the second image analysis information analyzed through the image analysis server, but is not necessarily limited thereto.

The intelligent collaboration server 100 receives first video analysis information and edge camera detailed information from the integrated control server 200 and receives second video analysis information from the video analysis server 300 . In addition, collaboration analysis is performed based on the first and second image analysis information to generate collaboration control information. The collaborative control information generated in this way is provided to the video analysis server 300 and also provided to the corresponding edge camera 400 through the integrated control server 200.

In this case, the collaboration control information includes control information for controlling one or more edge cameras 400 through edge camera detail information based on the collaboration analysis result. The intelligent collaboration server 100 determines whether control of the edge camera 400 is necessary based on the first and second image analysis information, and generates collaboration control information for the edge camera 400 if necessary as a result of the determination. It can be provided as an integrated control server (200). Here, the collaboration control information for the edge camera 400 may include an ID of the edge camera, internal function control information of the edge camera 400, and PTZ setting information.

In addition, it includes control information for requesting re-analysis of the video to the video analysis server 300 according to the collaborative analysis result. That is, the intelligent collaboration server 100 determines whether a collision between events detected in the first and second image analysis information has occurred based on the first and second image analysis information, and as a result of the determination, if an event collision occurs. , Collaboration control information for requesting reanalysis of an image may be generated by the image analysis server 300 .

Meanwhile, referring to FIG. 4 , the intelligent collaboration server 100 includes a communication module 110 , a memory 120 and a processor 130 . On the other hand, in one embodiment of the present invention, the integrated control server 200 and the image analysis server 300 can also be implemented as a communication module, memory and processor like the intelligent collaboration server 100, of course.

The communication module 110 transmits and receives data with the integrated control server 200 and the image analysis server 300 . Here, the communication module 110 may include both a wired communication module and a wireless communication module. The wired communication module may be implemented as a power line communication device, a telephone line communication device, cable home (MoCA), Ethernet, IEEE1294, an integrated wired home network, and an RS-485 control device. In addition, the wireless communication module may be implemented with the above-described UNB, wireless LAN (WLAN), Bluetooth, HDR WPAN, UWB, ZigBee, Impulse Radio, 60 GHz WPAN, Binary-CDMA, wireless USB technology, and wireless HDMI technology.

Programs for collaboration-based analysis and control of the edge camera 400 are stored in the memory 120 , and the processor 130 executes the programs stored in the memory 120 . Here, the memory 120 collectively refers to a non-volatile storage device and a volatile storage device that continuously retain stored information even when power is not supplied.

For example, the memory 120 may include a compact flash (CF) card, a secure digital (SD) card, a memory stick, a solid-state drive (SSD), and a micro SD card. NAND flash memory such as cards, magnetic computer storage devices such as hard disk drives (HDD), and optical disc drives such as CD-ROMs and DVD-ROMs. can

The processor 130 receives first image analysis information analyzed by one or more edge cameras 400 and detailed edge camera information corresponding to the integrated control server 200 through the communication module 110 . In addition, the processor receives second image analysis information obtained by analyzing the image based on the image captured by the edge camera 400 and the edge camera detailed information from the image analysis server 300, and the first and second image analysis information Based on this, collaborative control information is created. The collaborative control information generated in this way is provided to the edge camera 400 through the video analysis server 300 and the integrated control server 200.

Hereinafter, an operating method performed by a collaboration-based intelligent video security system according to an embodiment of the present invention will be described with reference to FIGS. 5 to 9 .

5 is a flow chart of a collaboration-based video analysis method performed by a collaboration-based intelligent video security system according to an embodiment of the present invention. 6 is a diagram for explaining contents of generating control information for PTZ control of the edge camera 400. 7 is a diagram showing event recognition results before and after PTZ control of the edge camera 400 is performed. 8 is a diagram for explaining contents of generating information for requesting image reanalysis in case of event collision.

In the collaboration-based video analysis method according to an embodiment of the present invention, first, image information captured through an edge camera 400 is acquired (S101), and at least one of an object and an event is detected by analyzing the captured image. 1 Image analysis information is generated (S103).

Next, the edge camera 400 transmits the captured image, first image analysis information, and edge camera detailed information to the integrated control server 200 (S105), and the integrated control server 200 sends them to the edge camera 400 It is stored and managed separately (S107).

The integrated control server 200 transmits the first video analysis information and edge camera detailed information to the intelligent collaboration server 100 (S109), and transmits the video and edge camera detailed information to the video analysis server 300 (S111). . At this time, the edge camera detailed information includes camera ID, installation location information, and PTZ control information.

The video analysis server 300 analyzes the video received from the integrated control server 200 based on deep learning and generates second video analysis information by analyzing object information and events (S113). Here, the object information refers to object type (human, vehicle, animal, etc.), color, and size information, and the event may be a security event such as assault, fall, or abandonment.

Thereafter, the intelligent collaboration server 100 receives second video analysis information from the video analysis server 300 and generates collaboration control information through collaboration analysis with the first video analysis information (S115).

As an embodiment, the intelligent collaboration server 100 determines whether it is necessary to perform control of the edge camera 400 based on the collaboration control information (S117).

For example, the intelligent collaboration server 100 controls the edge camera 400 when the location of an object or event is out of the center of the image frame or the size of the object or event affects the accuracy of video analysis. judge it necessary That is, if the object or event is located outside the frame rather than at the center, or if the size is too large or too small, the image analysis accuracy is reduced, so it is determined that the control of the edge camera 400 is necessary.

Accordingly, the intelligent collaboration server 100 generates control information for PTZ control and function control of the edge camera 400 (S119) and transmits it to the integrated control server 200.

Referring to FIG. 6, the intelligent collaboration server 100 generates control information for controlling Pan and Tilt values so that the location of an object or event is located in the center of an image frame, and the size is a size that is easy to analyze an image (300x300) It is possible to generate control information for controlling the zoom value with .

Upon receiving the collaboration control information, the integrated control server 200 controls the corresponding edge camera 400 based on the PTZ information or function control information of the edge camera 400 (S121).

For example, through PTZ control of the edge camera 400, false positives in image analysis can be reduced and accurate image analysis results can be provided. In addition, before controlling the PTZ of the edge camera 400, the violent event was mistakenly recognized as a loitering event, but after controlling the PTZ of the camera, it is possible to recognize it as a normal violent event (see FIG. 7).

As another example, in the case of function control of the edge camera 400, a separate function control such as performing a defog function among functions built into the edge camera 400 on a foggy day or operating a thermal imaging camera in a dark environment can be performed.

In addition, the intelligent collaboration server 100 determines whether an event collision occurs between the first and second image analysis information (S123).

For example, as shown in FIG. 8, the intelligent collaboration server detects an event called 'loitering' in the first image analysis information at the same time point, but detects an event called 'violence' in the second image analysis information, and a collision between events occurs. If it occurs, it is determined that collaborative control is necessary.

Then, the intelligent collaboration server 100 generates collaboration control information for requesting a reanalysis of the video to the video analysis server 300 when a conflict between events occurs, and transmits it to the video analysis server 300 (S125). The image analysis server 300 generates second image analysis information again based on the image received according to the reanalysis request (S127).

Finally, the integrated control server 200 displays the image captured by the edge camera 400, the derived object, and event information as the collaborative control is completed (S129).

Meanwhile, in the above description, steps S101 to S129 may be further divided into additional steps or combined into fewer steps, depending on the implementation of the present invention. Also, some steps may be omitted if necessary, and the order of steps may be changed. In addition, even if other omitted contents, the contents described in FIGS. 2 to 4 are also applied to the collaborative image analysis method of FIGS. 5 to 9 .

The above-described collaboration-based image analysis method according to an embodiment of the present invention may be implemented as a program (or application) to be executed in combination with a server, which is hardware, and stored in a medium.

The aforementioned program is C, C++, JAVA, machine language, etc. It may include a code coded in a computer language of. Such codes may include functional codes related to functions defining necessary functions for executing the methods, and include control codes related to execution procedures necessary for the processor of the computer to execute the functions according to a predetermined procedure. can do. In addition, these codes may further include memory reference related code for determining where (address address) of the computer's internal or external memory the additional information or media required for the computer's processor to execute the functions should be referenced. there is. In addition, when the processor of the computer needs to communicate with any other remote computer or server in order to execute the functions, the code uses the communication module of the computer to determine how to communicate with any other remote computer or server. It may further include communication-related codes for whether to communicate, what kind of information or media to transmit/receive during communication, and the like.

The storage medium is not a medium that stores data for a short moment, such as a register, cache, or memory, but a medium that stores data semi-permanently and is readable by a device. Specifically, examples of the storage medium include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage device, etc., but are not limited thereto. That is, the program may be stored in various recording media on various servers accessible by the computer or various recording media on the user's computer. In addition, the medium may be distributed to computer systems connected through a network, and computer readable codes may be stored in a distributed manner.

Steps of a method or algorithm described in connection with an embodiment of the present invention may be implemented directly in hardware, implemented in a software module executed by hardware, or implemented by a combination thereof. A software module may include random access memory (RAM), read only memory (ROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, hard disk, removable disk, CD-ROM, or It may reside in any form of computer readable recording medium well known in the art to which the present invention pertains.

Although the embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art to which the present invention pertains can be implemented in other specific forms without changing the technical spirit or essential features of the present invention. you will be able to understand Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive.

1: Collaboration-based intelligent video security system
100: intelligent collaboration server
200: integrated control server
300: video analysis server
400: edge camera

Claims (9)

In a collaboration-based intelligent video security system,
One or more edge cameras that capture an image and generate first image analysis information obtained by analyzing the captured image;
An integrated control server that receives and manages the video, first video analysis information, and edge camera detailed information from the edge camera, and performs collaborative processing for interworking between the edge camera and the video analysis server;
A video analysis server for receiving the video and edge camera detailed information from the integrated control server and generating second video analysis information by analyzing the video; and
Receives the first video analysis information and edge camera detailed information from the integrated control server, receives second video analysis information from the video analysis server, generates collaboration control information, and transmits the collaboration control information to the video analysis server and Including an intelligent collaboration server provided to the edge camera through the integrated control server,
Collaboration-based intelligent video security system.
According to claim 1,
The integrated control server stores and manages the image, first image analysis information, and edge camera detailed information for each of the plurality of edge cameras when the number of edge cameras is plural.
Collaboration-based intelligent video security system.
According to claim 1,
The image analysis server analyzes the image based on deep learning to generate second image analysis information obtained by analyzing object information and event information.
Collaboration-based intelligent video security system.
According to claim 1,
The intelligent collaboration server determines whether control of the edge camera is necessary based on the first and second video analysis information, and generates collaboration control information for the edge camera if necessary as a result of the determination, and the integrated control server Provided as
The collaborative control information includes an ID of the edge camera, internal function control information of the edge camera, and PTZ setting information of the edge camera.
Collaboration-based intelligent video security system.
According to claim 1,
The intelligent collaboration server determines, based on the first and second video analysis information, whether or not a collision between events detected in the first and second video analysis information has occurred, and as a result of the determination, if an event collision occurs, the video Generating the collaboration control information for requesting reanalysis of the image with an analysis server,
Collaboration-based intelligent video security system.
In an intelligent collaboration server for collaboration-based video analysis and edge camera control,
A communication module that transmits and receives data with the integrated control server and image analysis server,
Memory and storage of programs for collaboration-based analysis and edge camera control
As the program stored in the memory is executed, edge camera detailed information corresponding to first image analysis information analyzed by one or more edge cameras is received from the integrated control server through the communication module,
Second image analysis information obtained by analyzing an image based on the image captured by the edge camera and the edge camera detailed information is received from the image analysis server, and collaboration control information is provided based on the first and second image analysis information. And a processor for generating and providing the collaboration control information to the edge camera through the video analysis server and the integrated control server,
Intelligent collaboration server.
According to claim 6,
The processor determines whether control of the edge camera is necessary based on the first and second image analysis information, and generates collaborative control information for the edge camera if necessary as a result of the determination and provides the information to the integrated control server. but
The collaborative control information includes an ID of the edge camera, internal function control information of the edge camera, and PTZ setting information of the edge camera.
Intelligent collaboration server.
According to claim 6,
The processor determines whether a collision between events detected in the first and second image analysis information has occurred based on the first and second image analysis information, and if an event collision occurs as a result of the determination, the image analysis server To request reanalysis of the image with
Intelligent collaboration server.
In the collaboration-based image analysis method in an intelligent collaboration server,
Receiving first image analysis information analyzed by one or more edge cameras through an integrated control server;
Receiving second image analysis information obtained by analyzing an image based on the image captured by the edge camera and detailed information of the edge camera from the image analysis server;
generating collaboration control information based on the first and second image analysis information; and
Providing the collaborative control information to the edge camera through the video analysis server and the integrated control server,
Collaboration-based video analysis method in intelligent collaboration server.

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