KR101420006B1 - System and Method for Camera Image Service based on Distributed Processing - Google Patents

Abstract

A distributed processing-based camera image service system and method are provided. The camera image service system according to an embodiment of the present invention includes an image storage DB for providing a space for storing images, an image storage server for receiving images taken by the cameras, dividing the images into cameras, An image search server for distributing and searching images stored in the image storage DB, and an image analysis server for distributing and analyzing images stored in the image storage DB. In this way, the storage and computation functions are removed from the camera side and the images are moved to the server side, which can be distributed and processed by the distributed processing system. Thus, many images generated from cameras installed and managed by various users You can quickly store, search and analyze.

Description

Technical Field [0001] The present invention relates to a camera image service system based on distributed processing,

The present invention relates to a camera image service system and method, and more particularly, to a system and method for storing various images taken through a camera in a distributed processing system and providing various image related services using the stored images.

In recent years, large and small crimes have become more frequent, and the importance and demand for CCTV cameras (Closed Circuit TeleVision Cameras) tends to increase as well as to investigate them.

In the conventional CCTV camera, the image analysis function is installed in the CCTV camera side, and the image processing such as the target detection or tracking is performed in real time on the CCTV camera side. However, since image analysis requires a lot of computation and time, there is difficulty in accurate analysis and real-time image analysis is not performed in the past.

In addition, since the image analysis function is dependent on the camera, it is impossible to add the image analysis function after the camera production.

On the other hand, CCTV cameras are expensive and require a lot of people to purchase and install. It is somewhat difficult for individuals to store and manage images taken by a CCTV camera. This is more so at this point.

SUMMARY OF THE INVENTION The present invention has been conceived to solve the above problems, and it is an object of the present invention to provide a camera image service system which receives images photographed by cameras and distributes the images, And a method.

According to an aspect of the present invention, there is provided a distributed video camera service system comprising: an image storage DB (DataBaes) for providing a space for storing images; An image storage server for receiving images photographed by cameras and dividing the images into the cameras and distributing the images to the image storage DB; An image search server for distributing and searching images stored in the image storage DB; And an image analysis server that analyzes and analyzes images stored in the image storage DB.

The cameras may be installed and managed by different users.

In addition, the distributed processing-based camera image service system according to an embodiment of the present invention may further include a camera management server for delivering camera-related commands input through the user's mobile device to the user's camera.

The camera management server can automatically control the camera operation of the user based on the position of the user.

In addition, the location of the user may be determined based on whether the user's mobile device is scanned by an Access Point (AP) located at a location where the user's camera is installed.

The image storage server may store an image photographed by the user's camera according to a storage environment set by the user.

In addition, the storage environment can be automatically set based on the use of the image input by the user.

In addition, the storage environment may include at least one of color, resolution, and storage space distribution of an image, and the storage space distribution may be such that a storage space allocated to a recent image is larger than a storage space allocated to a past image .

Also, the storage space distribution may be such that the storage space for the recent image gradually increases from the past image.

In the storage space distribution, the resolution of the image may be lowered and re-stored, the number of frames per unit time of the image may be reduced and re-stored, and only the images in which the event is generated may be extracted. It is possible to reduce the storage space through at least one of extracting only the contents and deleting the rest.

In addition, the image search server may search the image storage DB for a photographed image of a specific camera requested by the user, and provide the photographed image to the user's mobile device.

The specific camera may be a camera whose ID or S / N is specified by the user or a camera associated with the user.

In addition, the image analysis server may analyze images stored in the image storage DB to determine occurrence of an event, extract a specific image, and calculate statistical information.

When the event is determined, the image analysis server can notify the user of the camera or the camera of the camera that captured the image in which the event occurred.

In addition, the cameras transmit images and position information together, and the image storage server stores images and positional information received from the cameras together in the image storage DB, The image retrieved from the image storage DB is provided to the user's mobile device together with the position information, and the mobile device can display the image and the map in which the position information is displayed together.

When the camera detects the occurrence of the event, the camera can contact the hot line and request action.

According to another aspect of the present invention, there is provided a distributed processing-based camera image service method, comprising: receiving images taken by cameras and dividing and storing the images by the cameras; Distributing and storing the stored images; And distributing and analyzing the stored images.

As described above, according to the present invention, the storage and calculation functions are removed from the camera side, and the storage and calculation functions are removed from the camera side, and are distributed to the server side and distributed and processed by the distributed processing system. It is possible to quickly store, search, and analyze a large number of images generated from a plurality of images.

This distributed processing system has an advantage that all the cameras installed / managed by different users can be used together, and collects many camera images to enable a rich search.

In addition, since the complex functions can be transferred to the server by the distributed processing system and the basic functions can be installed only in the camera, it is possible to drastically reduce the cost and effort required for camera manufacture and installation.

In addition, it is possible to search / monitor external devices through a mobile device, and it is possible to discriminate and measure an event occurrence through image analysis and generate various statistical data and use it.

1 is a view illustrating a distributed processing-based IP-CCTV camera image service system according to a preferred embodiment of the present invention;
2 is a block diagram showing a detailed configuration of the IP-CCTV cameras shown in FIG. 1,
3 is a diagram illustrating a path through which a user controls an IP-CCTV camera as a relay of a camera management server through a smart phone,
FIG. 4 is a diagram schematically showing paths in which photographed images are distributed and stored,
5 is a diagram illustrating a storage space distribution scheme,
6 is a diagram illustrating a process of searching only a desired image among stored images through a video search server and monitoring it with a smartphone,
7 is a diagram schematically illustrating a user alarm process by a video analysis server via a smart phone,
8 is a diagram schematically illustrating an alarm process through the IP-CCTV camera by the image analysis server.

Hereinafter, the present invention will be described in detail with reference to the drawings.

1. System Configuration

FIG. 1 is a diagram illustrating a distributed processing-based IP-CCTV camera video service system according to a preferred embodiment of the present invention.

1, the 'IP-CCTV camera image service system based on distributed processing' (hereinafter abbreviated as 'camera image service system') according to the present embodiment includes a plurality of IP-CCTV cameras 100 The camera management server 200, the smart phone 300 and the distributed processing system 400 are connected to each other via the Internet so that they can be established do.

The camera image service system according to the present embodiment is configured to distribute a large number of images photographed through a plurality of IP-CCTV cameras 100-1, 100-2, 100-3, ..., 100-n to a distributed processing system 400).

In the camera image service system according to the present embodiment, the IP-CCTV cameras 100-1, 100-2, 100-3, ..., 100-n are controlled through the smartphone 300 It is possible to provide various image services to the distributed processing system 400. Since the provided video service is provided on a distributed processing basis, it can be provided quickly despite handling many images.

2. IP - CCTV  camera

As shown in FIG. 1, the IP-CCTV cameras 100-1, 100-2, 100-3,... 100-n are installed and used in different places. In addition, users installing and using the IP-CCTV cameras 100-1, 100-2, 100-3, ..., 100-n may be different.

The images photographed and generated by the IP-CCTV cameras 100-1, 100-2, 100-3, ..., 100-n are all distributed to the distributed processing system 400, and the IP-CCTV cameras 100-1, 100-2, 100-3, ..., 100-n are all controllable by the camera management server 200. [

The internal configurations of the IP-CCTV cameras 100-1, 100-2, 100-3, ..., 100-n shown in FIG. 1 can be implemented in the same manner. 2 shows the detailed configuration of the IP-CCTV cameras 100-1, 100-2, 100-3,... 100-n represented by the reference numeral "100".

2, the IP-CCTV camera 100 includes a GPS (global positioning system) receiving unit 110, a photographing unit 120, an output unit 130, a storage unit 140, a processor 150, An operation unit 160, a universal serial bus (USB) interface 170, a communication unit 180, and a sensing unit 190.

The GPS receiver 110 receives the GPS signals from the GPS satellites and transmits them to the processor 150. Using the GPS signals received by the GPS receiving unit 110, the processor 150 can generate position information on which the IP-CCTV camera 100 is installed.

The generated position information is transmitted to a distributed processing system 400, which will be described later, together with the image generated by the photographing unit 120, and is used for position-based image search, image analysis reflecting the position information, and the like.

The photographing unit 120 transmits the image generated through the photographing to the output unit 130 and the processor 140.

Output 130 includes a display for visual output and a speaker for audible output. The output unit 130 is capable of outputting an image photographed through the photographing unit 120.

In addition, the output unit 130 outputs the operation state and the environment setting state of the IP-CCTV camera 100 so that the user can confirm the state. In addition, when an alarm message is received from a distributed processing system to be described later, the alarm message is output to inform people around the alarm message.

The processor 150 compresses the image photographed by the photographing unit 120 and stores the compressed image in the storage unit 140. In addition, the processor 150 may transmit the compressed image stored in the storage unit 140 to a host connected to the USB interface 170.

The processor 150 transfers the compressed image to the distributed processing system 400 through the communication unit 180 and transmits the compressed image to the image capturing unit 120 according to a command received from the camera management server 200 through the communication unit 180. [ And sets the shooting environment.

The operation unit 160 receives a user command for the IP-CCTV camera 100 and transmits the user command to the processor 150.

The sensing unit 190 includes a fire sensor, a motion sensor, and an infrared sensor. Using the sensing result of the sensing unit 190, the processor 150 can directly grasp the occurrence of a fire or an emergency situation. Emergency occurrence is detected when there is no movement of the patient or elderly person being protected by the motion detection sensor or when the body temperature abnormality is detected by the infrared sensor. In this case, the processor 150 can contact the emergency service agency through the hot line of the communication unit 180 to request emergency measures.

The IP-CCTV camera 100 shown in FIG. 2 is merely an example for convenience of explanation, and it is possible to extend the function by further adding a component, while it is also possible to reduce the function by excluding a component. According to the latter, it is possible to simplify the operation of the IP-CCTV camera 100 and reduce the manufacturing cost.

The GPS receiver 110, the output unit 130, the storage unit 140, the operation unit 160, and the operation unit 160 may be omitted from the configuration of the image pickup unit 120, the processor 150, and the communication unit 180, The USB interface 170, and the sensing unit 190 may be omitted as needed.

The main function of the IP-CCTV camera 100, regardless of the format, is to create and transmit a photographed image, and the installation work is completed by simply connecting to the Internet. The IP-CCTV camera 100 is registered in the camera management server 200 and the distributed processing system 400. The former is for controlling the IP-CCTV camera 100 and the latter is for the IP-CCTV camera 100 of the present invention.

3. IP - CCTV  Camera remote control

As described above, the IP-CCTV cameras 100-1, 100-2, 100-3, ..., 100-n can be remotely controlled through the smart phone 300. The IP- Control is performed under the control of the camera management server 200.

3, a user installing / managing the IP-CCTV camera-1 (100-1) and the IP-CCTV camera-n (100-n) (100-1) and the IP-CCTV camera-n (100-n) are shown in FIG. The path shown in FIG. 3 corresponds to a path through which a user's IP-CCTV camera control command is transmitted.

The control command includes operation control commands such as shooting start, shooting stop, pan, tilt, zoom and the like, setting of shooting resolution, shooting mode (video + audio shooting mode, Configuration commands are included.

On the other hand, IP-CCTV camera remote control may be performed automatically. For example, when 1) the user arrives at the home where the IP-CCTV camera-1 (100-1) is installed, the camera management server 200 determines that the IP-CCTV camera- 2) When the user leaves the house where the IP-CCTV camera-1 (100-1) is installed, the camera management server 200 determines that the IP-CCTV camera-1 (100-1) It is possible to perform remote control.

Whether the user is in the house or outside the home is determined based on whether the smart phone 300 carried by the user is scanned by an access point (AP) (not shown) installed in the house, .

The remote automatic control of this technique corresponds to remote control of IP-CCTV camera shooting based on the location of the smartphone 300 and IP-CCTV camera-1 (100-1) carried by the user.

1) When the user arrives at home, the camera management server 200 remotely controls the IP-CCTV camera-1 100-1 to "start" shooting, and 2) It is also possible to remotely control the IP-CCTV camera-1 (100-1) to "stop"

IP-CCTV camera remote control should be restricted to IP-CCTV cameras installed or users who are authorized to manage them. However, in special situations such as crime tracking or disaster situation identification, smart phones (300 It is preferable that the IP-CCTV camera-1, n (100-1, n) of the user is controlled through the camera management server 200 even if there is no user command through the IP camera.

4. IP - CCTV  Camera image storage

The images photographed by the IP-CCTV cameras 100-1, 100-2, 100-3, ..., 100-n are stored in the image storage DB 410 by the image storage server 410 of the distributed processing system 400 (440). FIG. 4 schematically shows paths in which photographed images are distributed and stored.

Since both the server 410 for performing image storage and the DB 440 for storing images are implemented as a plurality of servers and a plurality of DBs on the basis of the distributed processing, both the storage operation and the storage space are dispersed and the IP-CCTV cameras 100 -1, 100-2, 100-3, ..., 100-n) can be stored quickly and sufficiently.

The image storage server 410 stores the images in the image storage DB 440 by dividing the images into IP-CCTV cameras. The classification criteria include information for specifying the IP-CCTV cameras (for example, IP-CCTV camera IDs S / N).

In addition to being divided into IP-CCTV cameras, the images in the image storage DB 440 can be stored separately for each shooting date and time. In addition, the resolution, contrast, sharpness and size of the stored image can be changed differently from the photographed image, which is preferably according to the user's setting.

5. Video storage management

The distributed processing system 400 is capable of storing a large number of images due to the application of a big data processing technique, but it does not secure an unlimited storage space. Accordingly, the IP-CCTV camera image storage service provided to the user is operated in a weighted manner.

The user can set all the images photographed by his / her IP-CCTV camera to be stored according to a first-in first-out (FIFO) system. However, in order to effectively utilize the limited image storage space allocated to the user, the user preferably sets the image storage environment. The image storage environment can be set through the smartphone 300.

It is a settable image storage environment, including image color, image resolution, and storage space allocation. The image storage environment can be set by the user directly. However, if the input of the image (for example, crime detection, disaster detection, flow rate detection, etc.) is input, the image storage environment is automatically set It is possible.

In the case of an image taken for the purpose of recognizing an emerging person / object and preventing / post-processing the crime, the image is set to be stored in a high color resolution, and the image is photographed for the purpose of detecting a disaster / It is preferable to set it to be stored in a low resolution of black and white.

On the other hand, it is desirable to set the images to be captured at a high monitoring resolution in the event that an incident / accident occurs frequently or a large number of characters / objects are stored at a high resolution, and in the opposite case, the images are stored at a low resolution.

The storage space allocation is set so that a lot of storage space is distributed to the latest image than the past image. For example, as shown in FIG. 5, 50 GB of the image storage space allocated to the user is divided into 5 equal parts, such as (1) a video of the shooting day, (2) a video for a week before the shooting, Video, ④ "③" video for the previous 3 months, ⑤ "④" 10GB for the videos for the previous 6 months.

Since the recent image is important, it should be noted that in FIG. 5, the storage space for the recent image is gradually increased (conversely, the storage space for the past image is gradually decreased) than the past image. On the other hand, in order to store a large number of images in the same storage space, it is possible to apply 1) resolution reduction of the image, 2) reduction of the number of frames per unit time of the image, 3) event image extraction, and 4)

'2) The frame rate per unit time of the image' is converted to the lower frame rate per unit time and stored again. '3) The resolution of the image is reduced to' (4) Extraction of specific images' is a method to extract unique images (faces, images, etc.) of old past images by extracting only old images of events (crime, accident, disaster, emergency situation) Images including people, vehicles, numbers, characters, etc.) and deletes the rest, thereby reducing storage space.

The 'extracting event image' and the 'extracting specific image' are performed under the control of the image search server 420.

On the other hand, the above schemes may be applied in combination. For example, for old historical images, it is possible to reduce the resolution and the number of frames per unit time, and to reduce the storage space by deleting images that do not generate events.

Up to now, the video storage management described above can be carried out when the allocated storage space becomes short, but does not preclude the execution before that.

6. Search / monitoring

The user can monitor images distributed to the image storage DB 440 through the smart phone 300. [ FIG. 6 shows a process of searching only the desired image among the stored images through the image search server 420 and monitoring the selected image with the smartphone 300.

Since the image search server 420 is implemented as a plurality of servers on a distributed processing basis and distributedly searched, the image search service by the image search server 420 can be rapidly provided even though a large number of images are searched.

Video search can be performed based on IP-CCTV cameras or users. The image search based on the IP-CCTV camera specifies the image to be searched based on the ID or S / N of the IP-CCTV camera, and searches the images captured and stored in the corresponding IP-CCTV camera.

For example, if the ID or S / N of the IP-CCTV camera-2 (100-2) is inputted through the smart phone 300 and is transmitted to the image search server 420, It is possible to retrieve only images captured and stored by the IP-CCTV camera-2 (100-2) among the images stored in the DB 440 and transmit the retrieved images to the smartphone 300.

At this time, it is possible to further restrict the search target image by further adding the shooting date and time of the images, the shooting location, and the like.

On the other hand, the user-based image search is to identify an image to be searched based on the ID or telephone number of the user, and searches images stored and stored in the IP-CCTV camera installed / managed by the user.

For example, when the user ID is input through the smart phone 300 and is transmitted to the image search server 420, the image search server 420 associates the user ID with the user ID of the images stored in the image storage DB 440 It is possible to retrieve only the images captured and stored by the IP-CCTV camera-1 (100-1) and the IP-CCTV camera-n (100-n) and transmit them to the smartphone 300.

In addition, the image search server 420 may search for and provide images based on the location input through the smartphone 300. For example, when the user selects a specific distance through the smart phone 300, the image search server 420 searches only the images captured and stored by the IP-CCTV camera-3 (100-3) And transmit it to the smartphone 300.

At this time, the smartphone 300 may display the image received from the image search server 420 and the map in which the IP-CCTV camera-3 (100-3) is installed together on the screen and provide it to the user.

7. Image analysis

The image analysis server 430 analyzes the images stored in the image storage DB 440, and can identify a specific event occurrence or extract a specific image in the image. Since the image analysis server 430 is implemented by a plurality of servers based on distributed processing and distributed and analyzed, the image analysis service by the image analysis server 430 is fast and provides a large number of images.

The occurrence of an event in an image refers to occurrence of a disaster such as a motion, a fire / smoke, an accident, or an emergency in the security area. For example, when it is analyzed that the home is stolen from the image photographed by the IP-CCTV camera-1 (100-1), (2) (3) when a traffic accident is detected at a distance from the image taken by the IP-CCTV camera-3 (100-3); (4) when the IP-CCTV camera-n A case where a patient in a hospital collapses from an image photographed by the camera 100-n and does not move for a long period of time can be treated as an event in the image.

A specific image refers to a video that contains specific information such as face, person, vehicle, number, and character.

Meanwhile, the image analysis server 430 can analyze the images stored in the image storage DB 440 and calculate statistical information. For example, the image analysis server 430 may calculate the traffic volume (flow / number of visited people) through human recognition and the traffic volume through vehicle recognition.

The statistical information calculated by the image analysis server 430 may be utilized for marketing, as well as for policy establishment. On the other hand, at the time of calculating the statistical information, it is possible to generate the statistical information classified by the time / place by considering the positional information on the IP-CCTV camera together with the photographing time.

8. Image analysis based alarm

The image analysis server 430 provides an alarm function for notifying an event when the event is determined through image analysis. For example, the image analysis server 430 may notify the user of the determined event via the smartphone 300. [

7, the image analysis server 430 analyzes the images stored in the image storage DB 440 to determine that an event has occurred, and notifies the user through the smartphone 300. [

The content transmitted from the image analysis server 430 to the smartphone 300 includes an image in which an event is displayed, an event occurrence point, an event occurrence place, and an event content. The time of event occurrence is the shooting time, and the place where the event occurs is the place where the IP-CCTV camera is installed. The event content refers to the event (theft, fire, traffic accident, emergency situation, etc.) estimated by the image analysis server 430 by analyzing the event image.

The image analysis server 430 can notify the IP-CCTV camera in addition to the smartphone 300. In this case, the IP-CCTV camera outputs an alarm message through the display and the speaker.

8, when the image analysis server 430 analyzes the images stored in the image storage DB 440, it is determined that an event has occurred in the IP-CCTV camera-n (100-n) and the camera management server 200 (100-n) through the IP-CCTV camera-n (100-n).

Alarming through the IP-CCTV camera -n in which the event occurs is to notify the people at the scene where the event occurred and to induce caution or action.

9. Variation example

Up to now, preferred embodiments have been described in detail for a distributed processing based IP-CCTV camera image service system and various services provided thereby.

In the above embodiments, it is assumed that the positions of the IP-CCTV cameras 100-1, 100-2, 100-3, ..., 100-n are fixed. However, And the technical idea of the present invention can also be applied to a portable camera. In this case, the location information of the camera transmitted with the image becomes more significant.

In the case of the mobile camera, it is preferable to implement the image transmission to the distributed processing system 400 through a wireless Internet connection or a USB-connected host.

The IP-CCTV cameras 100-1, 100-2, 100-3, ..., 100-n, the camera management server 200, the smart phone 300, and the distributed processing system 400 are connected The Internet may be replaced by a combination of different types of networks or networks.

In addition, the smartphone 300 mentioned in the above embodiments can be replaced with other types of mobile devices as well as stand-alone devices such as a desktop PC.

In addition, it is possible to link the distributed processing system 400 with the SNS server, the blog server, and the portal server so that the images stored in the image storage DB 440 of the distributed processing system 400 can be uploaded to the SNS, It is also possible to implement.

It goes without saying that the technical idea of the present invention can also be applied to a computer-readable recording medium having a computer program for performing the functions of the apparatus and method according to the present embodiment. In addition, the technical idea according to various embodiments of the present invention may be embodied in computer-readable code form recorded on a computer-readable recording medium. The computer-readable recording medium is any data storage device that can be read by a computer and can store data. For example, the computer-readable recording medium may be a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, an optical disk, a hard disk drive, or the like. In addition, the computer readable code or program stored in the computer readable recording medium may be transmitted through a network connected between the computers.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the present invention.

100-1, 100-2, 100-3, ..., 100-n: IP-CCTV cameras
200: camera management server 300: smart phone
400: distributed processing system 410: video storage server
420: image search server 430: image analysis server
440: Image storage DB

Claims (17)

An image storage DB (DataBaes) for providing a space in which images are stored;
An image storage server for receiving images photographed by cameras and dividing the images into the cameras and distributing the images to the image storage DB;
An image search server for distributing and searching images stored in the image storage DB;
An image analysis server for distributing and analyzing images stored in the image storage DB; And
And a camera management server for transmitting a camera-related command input through a user's mobile device to the user's camera,
Wherein the image storage server stores images photographed by the user's camera according to a storage environment set by a user,
Wherein the storage environment comprises storage space distribution,
Wherein the storage space allocation is such that a storage space allocated to a recent image is distributed larger than a storage space allocated to a past image,
Wherein the image storage server reconstructs the past image to reduce its capacity and then restores the past image,
The reconstruction is to reduce the capacity of the past image by extracting only the images in which the event occurs and deleting the remaining images,
The camera management server automatically controls the camera operation of the user based on the location of the user, and the location of the user is determined by an AP (Access Point) located at a place where the user's camera is installed It is determined based on whether or not it has been scanned,
The image search server searches the image storage DB for an image taken by the camera associated with the user and provides the image to the mobile device of the user,
The cameras transmit images and positional information together, and the image storage server stores images and positional information received from the cameras together with the image storage DB. The image search server searches for images And provides the image to the user's mobile device along with the location information, and the mobile device displays the image together with the map on which the location information is displayed.
The method according to claim 1,
The cameras,
Wherein the plurality of users are installed and managed by different users.
delete delete delete delete The method according to claim 1,
Wherein the storage environment comprises:
Based on the usage of the image input by the user, is automatically set.
The method according to claim 1,
Wherein the storage environment comprises:
Wherein the at least one of the color and the resolution of the image is at least one of a color and a resolution of the image.
9. The method of claim 8,
Wherein the storage space distribution comprises:
Wherein the distribution is performed so that the storage space for the latest image gradually increases from the past image.
10. The method of claim 9,
Wherein the storage space distribution comprises:
Wherein the storage space is reduced through at least one of re-storing and re-storing the past image by converting the resolution of the image to a lower resolution and re-storing the image and lowering the number of frames per unit time of the image.
delete delete The method according to claim 1,
Wherein the image analysis server comprises:
Wherein the image processing unit analyzes the images stored in the image storage DB to determine occurrence of an event, extracts a specific image, and calculates statistical information.
14. The method of claim 13,
Wherein the image analysis server comprises:
Wherein when the event is determined, an alarm is notified to the user of the camera or the camera that has photographed the image in which the event occurred.
delete The method according to claim 1,
The camera comprises:
And when the occurrence of an event is detected, a contact is made via a hot line to request an action.
The image storage server receiving the images taken by the cameras and dividing and storing the images by the cameras;
The image search server distributes and stores the stored images;
The image analysis server distributes and analyzes the stored images; And
And the camera management server automatically controlling the camera operation of the user based on the position of the user,
Wherein the storing step stores an image photographed by the user's camera according to a storage environment set by the user,
Wherein the storage environment comprises storage space distribution,
Wherein the storage space allocation is such that a storage space allocated to a recent image is distributed larger than a storage space allocated to a past image,
Wherein the reconstructing step reduces the capacity of the past image by extracting only the images in which the event occurred and deleting the remaining images,
The location of the user is determined based on whether the user's mobile device is scanned by an Access Point (AP) located at a location where the user's camera is installed,
Wherein the searching step searches the photographed image of the camera associated with the user and provides the photographed image to the user's mobile device,
Wherein the storing step stores the images and the position information received from the cameras together, and the searching step searches the searched images together with the position information and provides the searched images to the user's mobile device, And displaying a map in which position information is displayed together.

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