KR102499291B1 - Method and system for CCTV installation simulation - Google Patents

Abstract

A method of performing a simulation for CCTV installation by a server according to an embodiment of the present invention comprises: a CCTV installation configuration option selection step of obtaining information about configuration options including at least one of the classification of the place where CCTV is to be installed, the purpose of installation, and the number of devices to be installed from a user device; a product confirmation and selection step of providing a list of selectable CCTV products to the user device and receiving product selection information received from the user device; a drawing registration step of receiving drawing information of the place where CCTV is to be installed from the user device and registering the drawing; an installation and operation simulation step of performing a simulation of CCTV installation and operation based on the configuration option information, the product selection information, and the drawing information, and displaying the simulation information on the registered drawing; and a suitability evaluation and setting value change recommendation step of evaluating, based on the CCTV blind spot ratio calculated by the simulation, the suitability of a setting value for the information on the configuration option and the product selection information and, if the measured suitability is below the standard value, recommending changing the setting value. The present invention allows users to check the ratio of blind spots in advance through simulation, and thus the number of CCTV blind spots can be reduced.

Description

CCTV installation simulation method and system {Method and system for CCTV installation simulation}

The present invention relates to a system for simulating and evaluating the installation of a CCTV at a location before installing the CCTV.

The demand for installation of CCTV has been steadily increasing for reasons such as crime prevention and disaster prevention. In particular, in recent years, demand for CCTV installation has increased not only in financial institutions and crime-prone areas, but also in households and daycare centers for reasons such as caring for companion animals and analyzing causes of accidents.

In the midst of such an increasing dependence on CCTV, when a crime or accident actually occurs, the results of CCTV still often do not help in resolving the case. The main cause is CCTV blind spots. For this reason, various efforts are being made to reduce CCTV blind spots, but it is difficult to eliminate blind spots after CCTV has already been installed due to problems such as cost.

It seems that the cause of CCTV blind spots is that the design is not made by sufficiently reflecting elements such as angle of view and visual distance of CCTV before installing CCTV, and in addition, there are practical difficulties in changing the installation location after installing CCTV. Therefore, it is required to check the shooting range according to the installation location before installation to prevent blind spots from occurring as much as possible.

The present invention allows a user who wants to install CCTV to check the ratio of blind spots in advance through simulation before actual installation takes place, and through this, an object is to minimize the occurrence of CCTV blind spots.

In addition, the present invention can propose an optimal product corresponding to the purpose of using CCTV for a user who wants to install CCTV, and through this, it is possible to provide an efficient cost estimation service.

In addition, the present invention can calculate a suitable product in response to the purpose and place of use of CCTV through big data analysis and guide it to the user.

A method for a server to simulate CCTV installation according to an embodiment of the present invention provides information on configuration options including at least one of the classification of a place to install CCTV from a user device, the purpose of installation, and the number of devices to be installed. CCTV installation configuration option selection step to obtain, a product confirmation and selection step to provide a list of selectable CCTV products to the user device and receive product selection information received from the user device, a place where CCTV is to be installed from the user device Drawing registration step of receiving drawing information of and registering a drawing, performing a simulation of CCTV installation and driving based on information on the configuration option, the product selection information, and the drawing information, and on the registered drawing Based on the installation and operation simulation step of displaying simulation information and the ratio of CCTV blind spots calculated according to the simulation, the suitability of the setting values for the information on the configuration options and the product selection information is evaluated, and the measured suitability is If the value is less than or equal to the reference value, a suitability evaluation and a setting value change recommendation step of recommending a setting value change may be included.

In the simulation system for CCTV installation comprising a server and a user device according to an embodiment of the present invention, the server includes a classification of a place where CCTVs are to be installed from the user device, a purpose of installation, and the number of devices to be installed. Acquire information on configuration options and selection information of CCTV products to be installed, receive drawing information of the place where CCTV is to be installed, register the drawing, drive simulation for CCTV installation based on the acquired information, The configuration based on the ratio of CCTV blind spots calculated as a result of the simulation driven by the simulation driving unit, which provides the user device with a result of displaying simulation information on CCTV installation and driving on the registered drawing. A conformity evaluation unit that evaluates the suitability of setting values for information on options and product selection information, and if the suitability measured by the suitability evaluation unit is below the standard value, it is recommended to change the set values, but the A design change unit that automatically changes and recommends setting values including at least one of specifications, the number of devices, and installation locations may be included.

The present invention allows a user who wants to install CCTV to check the ratio of blind spots in advance through simulation before actual installation takes place, and through this, CCTV blind spots can be reduced.

1 is a flowchart illustrating a CCTV installation simulation procedure according to an embodiment of the present invention.
2 is a diagram showing a detailed sequence of a drawing registration step according to an embodiment of the present invention.
3 is a diagram showing the configuration of a server according to an embodiment of the present invention.
4 is a diagram showing the configuration of an information collection unit according to an embodiment of the present invention.
5 is a diagram showing an example of a CCTV installation configuration option selection step according to an embodiment of the present invention.
6 is an exemplary view of a product identification and selection step according to an embodiment of the present invention.
7 is a diagram showing a screen example of a drawing registration step according to an embodiment of the present invention.

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.

The term "unit" or "module" used in the specification means a hardware component such as software, FPGA or ASIC, and "unit" or "module" performs certain roles. However, "unit" or "module" is not meant to be limited to software or hardware. A “unit” or “module” may be configured to reside in an addressable storage medium and may be configured to reproduce one or more processors. Thus, as an example, a “unit” or “module” may refer to components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays and variables. Functions provided within components and "units" or "modules" may be combined into smaller numbers of components and "units" or "modules" or may be combined into additional components and "units" or "modules". can be further separated.

The spatially relative terms "below", "beneath", "lower", "above", "upper", etc. It can be used to easily describe a component's correlation with other components. Spatially relative terms should be understood as including different orientations of elements in use or operation in addition to the orientations shown in the drawings. For example, if you flip a component that is shown in a drawing, a component described as "below" or "beneath" another component will be placed "above" the other component. can Thus, the exemplary term “below” may include directions of both below and above. Components may also be oriented in other orientations, and thus spatially relative terms may be interpreted according to orientation.

In this specification, a user device means any type of personalized hardware device including at least one processor, and may be understood as encompassing a software configuration operating in a corresponding hardware device according to an embodiment. For example, a user device may be understood as including a smartphone, a tablet PC, a wearable device, and a user client and application running on each device, but is not limited thereto.

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

1 is a flowchart illustrating a CCTV installation simulation procedure according to an embodiment of the present invention.

As shown in Figure 1, the simulation method for CCTV installation according to an embodiment of the present invention, CCTV installation configuration option selection step 110, product confirmation and selection step 120, drawing registration step 130, installation and A driving simulation step 140, suitability evaluation, and setting value change recommendation step 150 may be performed.

Hereinafter, each step will be described in more detail. First, in the case of the CCTV installation configuration option selection step 110, the server 10 receives selection information for an item including at least one of the classification of a place where CCTVs are to be installed, the purpose of installation, and the number of devices to be installed from the user. It can mean the step of acquiring.

For reference, the expression that the server 10 obtains selection information from the user means that the server 10 receives user selection information input by the user to the user device. Likewise, although not shown in the drawings, the server 10 may receive information required for CCTV installation simulation in association with not only user devices but also devices (including servers) of affiliated companies or organizations, and may receive corresponding information on a regular or irregular basis. information can be updated.

In the CCTV installation configuration option selection step 110, the selection information received from the user side can be classified and selected in more diverse ways. According to an embodiment, the 'place classification' item among the selection items may be designated according to the use characteristics of a place such as a home, a store, or a factory. However, it is not limited thereto, and place classification items are designated according to the size characteristics of the place, regional characteristics (eg, classified into metropolitan areas, small local cities, rural areas, etc.), and population density characteristics (eg, classified into downtown, residential areas, trails, etc.), etc. It could be.

According to one embodiment, 'installation purpose' among the selection items may be classified into household, industrial, medical, etc., and according to various embodiments, for crime prevention, animal (Pet) observation, infant protection, fire monitoring, education, etc. It may be set in a more subdivided manner. The server 10 may perform later suitability evaluation and recommended operation of setting value change in consideration of the information on the installation purpose of the CCTV selected by the user. For example, if the server 10 determines that the 'crime prevention' item is included in the purpose of CCTV installation from the user device, it may recommend changing the product to a product having a resolution higher than a standard value to facilitate identification of a person to be photographed.

According to various embodiments, the CCTV installation configuration option selection step 110 may be selected in a simple manner as shown in FIG. 5 .

5 is a diagram showing an example of a CCTV installation configuration option selection step according to an embodiment of the present invention.

As shown in FIG. 5, the CCTV installation configuration option selection step 110 may proceed in the direction of requesting the user to select which set value in a state in which set values of a plurality of items are tied to set values. Looking at the set value 501 selected in FIG. 5 , it can be confirmed that the setting values for the installation location (home/store) of the CCTV and the number of installation devices (three or less) are bundled into one set. And next to the selected set value 501, an unselected set value is shown, indicating that the installation location is a factory and the number of installed devices is set to 3 or less. Pre-designed network configuration information may also be included in the provided set value.

In this way, the server 10 may prepare a set value so that a plurality of set value information can be selected at once with only one selection according to various embodiments, and the user can select it to conveniently proceed with the design for CCTV installation. there is. At this time, the server 10 may create or change set values using the most frequently selected setting values corresponding to each installation location by a plurality of users.

After the CCTV installation configuration option selection step 110, the server 10 provides a list of selectable CCTV products to the user, and a product confirmation and selection step of receiving information on a CCTV product selected by the user from the provided list ( 120) can be performed.

The product identification and selection step 120 will be described with reference to FIG. 6 .

6 is an exemplary view of a product identification and selection step according to an embodiment of the present invention.

As shown in FIG. 6 , the server 10 may present a list of selectable CCTV camera products to the user. In addition, the server 10, as shown in 601 of FIG. 6, allows you to select the type of CCTV device (eg, dome, night, wireless, etc.) and specifications (resolution, angle of view, viewing distance, etc.) An input window may be presented and input information may be received from the user. As the user selects or inputs information corresponding to the type and specification of the CCTV device, the server 10 may present only a list of products matching the user's selection among the list of CCTV products it possesses. At this time, the presented product list may include product model names, prices, detailed specification information, and the like. At this time, the server 10 may include and present a selection button 602 so that the user can select a specific product from the product list.

After the product confirmation and selection step 120, the server 10 may proceed with a drawing registration step 130 of receiving drawing information of a place where a CCTV is to be installed from the user and registering the drawing.

A description of the drawing registration step 130 will be described in more detail with reference to FIGS. 2 and 7 .

2 is a diagram showing a detailed sequence of a drawing registration step according to an embodiment of the present invention.

7 is a diagram showing a screen example of a drawing registration step according to an embodiment of the present invention.

As shown in FIG. 2, the drawing registration step 130 will proceed in the order of drawing input step 131, essential information omission confirmation step 132, additional information input step 133, drawing registration completion step 134. can

When entering the drawing registration step 130, the server 10 may request drawing input from the user. At this time, as shown in 701 of FIG. 7, the server 10 may guide a phrase such as 'Please upload a drawing of a CCTV installation location' on the screen, and a button that supports uploading a drawing file. can be displayed together on the same screen. In response to this, the user may upload a previously owned drawing file to the server 10 . As a result, a drawing input step 131 in which the server 10 checks whether or not a drawing is input from the user may proceed.

After the drawing input step 131, the server 10 may perform a missing essential information checking step 132 to check whether essential information is missing. At this time, the server 10 may determine whether there are essential information required to determine the size of the space in the uploaded drawing file, and the essential information means, for example, the area of the space or horizontal and vertical length information. can do. In addition, the essential information may include information required to determine a possible installation location of a CCTV camera. For example, the above essential information includes information on whether it is outdoors or indoors, existence of a structure (e.g., pillar, telephone pole, etc.) capable of installing a CCTV camera, location of a window or front door, location of an existing CCTV camera, desired CCTV installation location, etc.

The server 10 receives a drawing from the user in this way, determines whether or not the corresponding drawing includes essential information, and determines suitability for simulation of the corresponding drawing based on this. When it is confirmed that the drawing input from the user is suitable for simulation, the server 10 extracts essential information from the corresponding drawing, and then completes drawing registration. At this time, the operation of extracting essential information from the drawing input from the user may correspond to the additional information input step 133 of FIG. 2 .

Meanwhile, when the server 10 confirms that the drawing input from the user is missing essential information, the server 10 may request the user to directly input additional information in the additional information input step 133. For example, the server 10 may request the user to directly type and input the horizontal and vertical lengths of the rectangular space indicated in the drawing. The operation of requesting input of additional information from the server 10 to the user side is not limited thereto, and more various types of additional information (eg, window position, ceiling height, etc.) may be requested.

Thereafter, the server 10 may go through the additional information input step 133 and proceed with the drawing registration completion step 134 informing that the drawing registration has been normally performed.

According to various embodiments, the server 10 determines that essential information is missing in the essential information omission check step 132 even if the drawing input by the user is not in a pre-specified format or the user does not input the drawing. can do. In this case, the server 10 may support input of additional information in the additional information input step 133 by generating a new drawing. For example, the server 10 may request input of information required for generating a drawing instead of inputting a drawing file from the user, and may generate the drawing based on the information input from the user. For example, the server 10 may run a drawing generation program in the additional information input step 133 and directly arrange image elements such as straight lines and rectangles from the user to support creation of drawings. At this time, the server 10 may maintain the drawing generation operation until all essential information required to run the simulation is input, and the user may complete the drawing generation operation only when all preset essential information is secured. (e.g., activate the corresponding button so that the user can press the drawing production completion button).

In this way, the server 10 allows the user to register the drawing in the form of a file or directly produce the drawing on the program to acquire the drawing and essential information required for the simulation, and it is determined that all of the preset essential information has been secured Accordingly, the drawing registration completion step 134 may be performed. In the drawing registration completion step 134, the server 10 may set drawing information received from the user or produced by the user as a drawing for simulation.

When the drawing registration step 130 is completed in this way, the server 10 may proceed with the installation and operation simulation step 140 (hereinafter, the simulation step) of FIG. 1 . In the installation and operation simulation step 140, the server 10 simulates CCTV installation and operation based on configuration option information, product selection information, and registered drawing information, and the drawing registration step 130 This is a step of displaying simulation information on a drawing registered in .

The server 10 may perform an operation of calculating a blind spot ratio in the simulation step 140 . In addition, the server 10 can automatically analyze elements such as walls, doors, and windows in the drawing to extract 'installable locations' where CCTVs can be installed. Accordingly, it is possible to calculate not only the currently set location but also the range in which the CCTV can be moved and installed, and when a change in the set value is required in the future, the installation location of the CCTV is automatically changed within the range of the 'installable location' and the simulation is repeated. can do

And the server 10 displays the CCTV installation location on the drawing based on information such as information about the CCTV product selected by the user in the simulation step 140 and the number of products, and the CCTV product at the location can shoot View angle and viewing distance can be displayed together. The server 10 may display, for example, product information selected by the user as 702, as shown in FIG. 7, and as shown in 703, the shooting range (visible distance, (including elements of the angle of view) can be displayed.

As the simulation information is displayed as in 703, the user can first determine the suitability of the CCTV installation location desired by the user.

The server 10 may perform an operation of visually displaying simulation result information (eg, a shooting range) to the user as in step 140 of the simulation. Furthermore, the server 10 may perform an operation to check the difference between the expected shooting range and the desired shooting range in the simulation step 140, comparing the area and distance information registered in the drawing registration process with the simulation result information. Thus, the ratio of the blind spot among the desired shooting areas can be calculated.

After the installation and operation simulation step 140, the server 10 may proceed with a suitability evaluation and setting value change recommendation step 150. Step 150 evaluates the suitability of setting values related to the CCTV installation (setting values for configuration option information and product selection information) based on the ratio of CCTV blind spots calculated as a result of the simulation, and determines whether the measured suitability This is a step of performing suitability evaluation and recommending a change of the set value if the value is less than or equal to the reference value. At this time, the server 10 recommends changing the setting value when the calculated suitability value is determined to be less than or equal to the reference value, but at least one of the specifications of the device, the number of devices, and the installation location according to the pre-programmed value. You can automatically change the value for and present it as a recommended value. For example, in the setting value change recommendation step, if the setting value of the 'number of devices' is '4', the server 10 may recommend changing it to '5'.

8 will be referred to for further description of the suitability evaluation and setting value change recommendation step 150.

8 is a diagram for evaluation of simulation results and design change operations according to an embodiment of the present invention.

As shown in FIG. 8, the server 10 may display the simulation result information as in 801, and the suitability evaluation result thereof as in 802, 'The blind spot is greater than the reference value'. Can be guided. there is.

In addition, when it is determined that the suitability value is less than or equal to the reference value as a result of the simulation, the server 10 may suggest that the user directly perform design change, and the corresponding operation may be performed as in 804 . The server 10 supports, as shown in 804, so that the user can directly change the setting value in items such as CCTV installation location and CCTV camera product, and the user can directly change the setting value through this and check the simulation result again. there is.

Meanwhile, the server 10 may support application of a recommended design automatically under the operation of a preset program. The server 10 may provide a recommended design button, such as 803, and the user may select and accept the recommended setting value provided by the server instead of directly changing the design.

Hereinafter, each configuration of a system according to an embodiment of the present invention will be described.

3 is a diagram showing the configuration of a server according to an embodiment of the present invention.

Referring to FIG. 3 , a server 10 according to an embodiment of the present invention may include an information collection unit 20, a simulation driving unit 30, a suitability evaluation unit 40, and a design change unit 50.

Among them, the information collection unit 20 can be described with reference to FIG. 4 .

4 is a diagram showing the configuration of an information collection unit according to an embodiment of the present invention.

As shown in FIG. 4 , the information collection unit 20 may include a product information collection unit 20a, a feedback information collection unit 20b, and a big data management unit 20c.

The information collection unit 20 may collect, process, store, and manage various information required for driving the CCTV installation simulation from the outside.

First, the product information collection unit 20a may acquire product information of a CCTV camera from the outside. The product information collection unit 20a may obtain and manage information such as model name, price, specification, and image of the CCTV camera. The product information collected by the product information collecting unit 20a can be later confirmed by the user in the product identification and selection step 120 .

The product information collecting unit 20a may collect seller and installer information of each product. The product information collection unit 20a, for example, can interwork with a seller's device of a CCTV camera product to obtain information on products that can be sold and information on an area where installation is possible. Considering this information, the server 10 In the future, a seller or an installer corresponding to the user's local information may be recommended.

The feedback information collecting unit 20b may obtain user feedback information from a user device. The feedback information collection unit (20b) completes the operation of the CCTV installation simulation according to the embodiment of the present invention and reflects a series of processes for acquiring information about post-satisfaction from the user who has installed the product. can proceed For example, the feedback information collection unit 20b may request a satisfaction evaluation from the user device of the user who proceeded with the CCTV purchase and installation after the operation of the CCTV installation simulation was performed. In addition, the feedback information collection unit 20b may acquire information on whether or not a post-problem occurs after installing the CCTV. In this case, the post-problem occurrence means that an event to be prevented through CCTV, such as theft, fire, and damage to facilities, occurs after the installation of the CCTV.

The big data management unit 20c manages big data by an artificial intelligence algorithm based on product information and feedback information obtained from the seller side and the user side by the product information collection unit 20a and the feedback information collection unit 20b. can be performed. Furthermore, the big data management unit 20c may acquire information related to the occurrence of crime, fire, etc. from various organizations such as local governments, and perform big data management based thereon. In addition, the big data management unit 20c may perform big data management based on information about the user's simulation use history.

According to an embodiment, the big data management unit 20c may calculate the main CCTV installation purpose and post-problem occurrence rate for each place category. In addition, the big data management unit 20c can calculate CCTV camera products with high preference according to location classification (eg, by population density, by region, etc.) and provide information about them to be used when setting values are changed (step 150). there is. In addition, the big data management unit 20c can calculate the time zone and place characteristics with a high rate of actual crime and fire occurrence based on the obtained crime and fire occurrence information, and the design change unit 50 can calculate the information about this. It can be provided for use in setting value change (step 150).

The design change unit 50 may calculate and apply an optimal value in consideration of the factors calculated by the big data management unit 20c when the user wants to automatically change the previously selected setting value. For example, if a user wants a CCTV design to shoot outdoor and factory areas at night for security purposes, and in the case of a user-set design, the ratio of blind spots is high, so if the setting value needs to be changed, the design change The unit 50 may calculate and recommend preferred products in the corresponding place category (outdoor, factory area) and night shooting in consideration of the information calculated by the big data management unit 20c. Alternatively, the design change unit 50 responds to the big data analysis results for places and factors with a high fire rate, so that the corresponding place on the drawing (eg, entrance, kitchen room, etc.) is not included in the blind spot, shooting angle or installation location can be changed.

However, the values calculated by the big data management unit 20c are not limited to the examples presented above, and may be used in the operation steps of the simulation driving unit 30 and the suitability evaluation unit 40 in addition to the design change unit 50.

In the server 10 of FIG. 3 , the simulation driving unit 30 may perform overall operations related to driving the simulation according to an embodiment of the present invention. The simulation driving unit 30 may obtain from the user device information on a configuration option including classification of a place to install CCTV, purpose of installation, and number of devices to be installed, and selection information of a CCTV product to be installed. In addition, the simulation driving unit 30 may receive drawing information of a place where a CCTV is to be installed, register the drawing, and drive a simulation for CCTV installation based on the acquired information. The simulation driving unit 30 may provide a result of displaying simulation information on CCTV installation and driving on the registered drawing to the user device.

The suitability evaluation unit 40 may evaluate the suitability of the corresponding design-related set value based on the ratio of CCTV blind spots calculated as a result of the simulation driven by the simulation driving unit.

The design changer 50 recommends changing the set value when the suitability measured by the suitability evaluation unit 40 is below the reference value, but at least one of the specifications of the device, the number of devices, and the installation location according to a pre-programmed command. It is possible to recommend by automatically changing the setting value including .

In short, the method for the server to perform simulation for CCTV installation according to an embodiment of the present invention depends on configuration options including at least one of the classification of a place to install CCTV from a user device, the purpose of installation, and the number of devices to be installed. CCTV installation configuration option selection step for acquiring information about the CCTV installation, providing a list of selectable CCTV products to the user device, product selection and product confirmation and selection step for receiving product selection information received from the user device, and wanting to install CCTV from the user device. A drawing registration step of receiving drawing information of a place and registering a drawing;

Based on the information on the configuration options, the product selection information, and the drawing information, simulation of CCTV installation and operation is performed, and the installation and operation simulation step of displaying the simulation information on the registered drawing and according to the simulation Based on the calculated CCTV blind spot ratio, the suitability of setting values for the configuration option information and product selection information is evaluated, and if the measured suitability is below the standard value, suitability evaluation and setting value change are recommended. It may include a recommendation step.

In the CCTV installation configuration option selection step, the user may be presented with a choice of a place to install a CCTV, and selection items classified according to use characteristics, size characteristics, regional characteristics, and population density characteristics may be presented.

In the drawing registration step, at least one of a drawing input step of acquiring a drawing file from a user, an area of a space to be photographed in a drawing file obtained from a user, existence of a structure capable of installing a CCTV camera, and a desired CCTV installation location It may include an essential information omission confirmation step of determining whether the included essential information is missing, an additional information input step of receiving the missing essential information directly from the user, and a drawing registration completion step if the missing essential information exists. .

In addition, in the additional information input step, when the drawing file obtained from the user does not exist, a drawing production program is presented to the user and a drawing is created using the information input from the user, but the essential information required for simulation operation is As all are secured, an operation of completing drawing generation may be further included.

In addition, the conformity evaluation and setting value change recommendation step recommends changing the setting value when the measured suitability is less than or equal to the standard value, but setting the setting including at least one of the specifications of the device, the number of devices, and the installation location according to a pre-programmed value. Values can be changed automatically to make recommendations.

In addition, the suitability evaluation and setting value change recommendation steps are the result of big data analysis performed based on product information obtained from sellers, feedback information obtained from users, crime and fire occurrence information obtained from institutions, and simulation use history information of users. It is recommended to change the set value in consideration of, but the operation of calculating and recommending the most preferred CCTV product for the purpose of classifying the CCTV installation location input by the user and installation may be further included.

In the simulation system for CCTV installation comprising a server and a user device according to an embodiment of the present invention, the server includes classification of a place where CCTVs are to be installed from the user device, purpose of installation, and number of devices to be installed. Acquire information on configuration options and selection information of CCTV products to be installed, receive drawing information of the place where CCTV is to be installed, register the drawing, drive simulation for CCTV installation based on the acquired information, Based on the ratio of the CCTV blind spot calculated as a result of the simulation driven by the simulation driver for providing the user device with a result of displaying simulation information for CCTV installation and driving on the registered drawing, A conformity evaluation unit that evaluates the suitability of the setting values for information on configuration options and the product selection information, and if the suitability measured by the suitability evaluation unit is below the standard value, it is recommended to change the set values, but the device is configured according to the pre-programmed values. It may include a design change unit that automatically changes and recommends setting values including at least one of specifications, number of devices, and installation locations.

Although not shown in the drawing, the server 10 according to an embodiment of the present invention may include a memory, a communication unit, and a processor. Also, the information collection unit 20, the simulation drive unit 30, the suitability evaluation unit 40, and the design change unit 50 of FIG. 2 may be interpreted as components belonging to the processor.

The memory may store various programs and data necessary for the operation of the server 10 . The memory may be implemented as a non-volatile memory, a volatile memory, a flash-memory, a hard disk drive (HDD), or a solid state drive (SSD).

The communication unit may perform communication with an external device. In particular, the communication unit may include various communication chips such as a Wi-Fi chip, a Bluetooth chip, a wireless communication chip, an NFC chip, and a Bluetooth Low Energy (BLE) chip. At this time, the Wi-Fi chip, the Bluetooth chip, and the NFC chip perform communication in a LAN method, a WiFi method, a Bluetooth method, and an NFC method, respectively. In the case of using a Wi-Fi chip or a Bluetooth chip, various connection information such as an SSID and a session key is first transmitted and received, and various information can be transmitted and received after communication is connected using this. The wireless communication chip refers to a chip that performs communication according to various communication standards such as IEEE, ZigBee, 3rd Generation (3G), 3rd Generation Partnership Project (3GPP), and Long Term Evolution (LTE).

The processor may control the overall operation of the server 10 using various programs stored in the memory. The processor may be composed of RAM, ROM, a graphic processing unit, a main CPU, first through n interfaces, and a bus. At this time, the RAM, ROM, graphic processing unit, main CPU, first to n interfaces, etc. may be connected to each other through a bus.

RAM stores O/S and application programs. Specifically, when the server 100 is booted, O/S is stored in RAM, and various application data selected by the user may be stored in RAM.

The ROM stores instruction sets for system booting. When a turn-on command is input and power is supplied, the main CPU copies the O/S stored in the memory 110 to the RAM according to the command stored in the ROM, and executes the O/S to boot the system. When booting is completed, the main CPU copies various application programs stored in the memory 110 to RAM, and executes the application programs copied to RAM to perform various operations.

The graphic processing unit uses a calculation unit (not shown) and a rendering unit (not shown) to create a screen including various objects such as items, images, and text. Here, the calculation unit may be configured to calculate attribute values such as coordinate values, shape, size, color, etc. of each object to be displayed according to the layout of the screen by using a control command received from the input unit. And, the rendering unit may be configured to generate screens of various layouts including objects based on the attribute values calculated by the calculation unit. The screen created by the rendering unit may be displayed within the display area of the display.

The main CPU accesses the memory and performs booting using the OS stored in the memory. And, the main CPU performs various operations using various programs, contents, data, etc. stored in the memory.

The first through n interfaces are connected to the various components described above. One of the first through n interfaces may be a network interface connected to an external device through a network.

Meanwhile, furthermore, the processor may control the artificial intelligence model. In this case, of course, the processor may include a graphics-only processor (eg, GPU) for controlling the artificial intelligence model.

Meanwhile, the artificial intelligence model according to the present invention may be a model based on supervised learning or unsupervised learning. Furthermore, the artificial intelligence model according to the present invention may include a support vector machine (SVM), a decision tree, a neural network, and the like, and methodologies to which they are applied.

As an embodiment, the artificial intelligence model according to the present invention may be an artificial intelligence model based on convolutional deep neural networks (CNN) learned by inputting training data. However, it is not limited thereto, and it goes without saying that various artificial intelligence models can be applied to the present invention. For example, models such as a deep neural network (DNN), a recurrent neural network (RNN), and a bidirectional recurrent deep neural network (BRDNN) may be used as an artificial intelligence model, but are not limited thereto.

At this time, convolutional deep neural networks (CNNs) are a type of multilayer perceptrons designed to use a minimum of preprocessing. A convolutional neural network consists of one or several convolutional layers and general artificial neural network layers placed on top of them, and additionally utilizes weights and pooling layers. Thanks to this structure, convolutional neural networks can fully utilize input data with a two-dimensional structure. Also, convolutional neural networks can be trained via standard back-propagation. Convolutional neural networks are easier to train than other feedforward artificial neural network techniques and have the advantage of using fewer parameters.

In addition, deep neural networks (DNNs) are artificial neural networks (ANNs) consisting of a plurality of hidden layers between an input layer and an output layer.

At this time, the structure of the deep neural network may be composed of a perceptron. Perceptron consists of several inputs, one processor, and one output value. The processor multiplies each of a plurality of input values by a weight, and then sums all the input values multiplied by the weight. Then, the processor substitutes the summed value into the activation function and outputs one output value. If a specific value is desired as an output value of the activation function, a weight value multiplied with each input value may be modified, and an output value may be recalculated using the corrected weight value. At this time, each perceptron may use a different activation function. In addition, each perceptron accepts the outputs passed from the previous layer as inputs, and then obtains the outputs using the activation function. The obtained output is passed as input to the next layer. Through the process as described above, several output values can finally be obtained.

Recurrent Neural Network (RNN) refers to a neural network in which the connections between units constituting an artificial neural network constitute a directed cycle. Unlike feed-forward neural networks, recurrent neural networks can utilize the memory inside the neural network to process arbitrary inputs.

Deep Belief Networks (DBN) is a generative graphical model used in machine learning. In deep learning, it means a deep neural network consisting of multiple layers of latent variables. There are connections between layers, but there is no connection between units within a layer.

Due to the characteristics of a generative model, the deep trust neural network can be used for prior learning, and after learning initial weights through prior learning, the weights can be fine-tuned through backpropagation or other discrimination algorithms. This characteristic is very useful when there is little training data, because the smaller the training data, the stronger the influence of the initial weight values on the resulting model. The pre-learned initial value of the weight becomes closer to the optimal weight than the arbitrarily set initial value of the weight, which enables the performance and speed of the fine-tuning step to be improved.

The above-described artificial intelligence and its learning method are described for illustrative purposes, and the artificial intelligence and its learning method used in the embodiments described below are not limited. For example, all kinds of artificial intelligence technologies and learning methods that can be applied by a person skilled in the art to solve the same problem can be used to implement the system according to the disclosed embodiment.

The processor may include one or more cores (not shown) and a graphic processing unit (not shown) and/or a connection path (eg, a bus) for transmitting and receiving signals to and from other components.

A processor according to one embodiment performs a method described in connection with the present invention by executing one or more instructions stored in memory.

For example, the processor acquires new training data by executing one or more instructions stored in memory, performs a test on the acquired new training data using a learned model, and, as a result of the test, the labeled information is First training data obtained with accuracy equal to or higher than a predetermined first reference value is extracted, the extracted first training data is deleted from the new training data, and the new training data from which the extracted training data is deleted is used to The trained model can be re-trained.

Meanwhile, the processor further includes RAM (Random Access Memory, not shown) and ROM (ROM: Read-Only Memory, not shown) that temporarily and/or permanently store signals (or data) processed inside the processor. can include In addition, the processor 130 may be implemented in the form of a system on chip (SoC) including at least one of a graphics processing unit, RAM, and ROM.

The memory may store programs (one or more instructions) for processing and controlling the processor. Programs stored in the memory may be divided into a plurality of modules according to functions.

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.

Components of the present invention may be implemented as a program (or application) to be executed in combination with a computer, which is hardware, and stored in a medium. Components of the present invention may be implemented as software programming or software elements, and similarly, embodiments may include various algorithms implemented as data structures, processes, routines, or combinations of other programming constructs, such as C, C++ , Java (Java), can be implemented in a programming or scripting language such as assembler (assembler). Functional aspects may be implemented in an algorithm running on one or more processors.

Although the present invention has been described in detail with reference to the foregoing examples, those skilled in the art may make alterations, changes, and modifications to the examples without departing from the scope of the present invention. In short, it is not necessary to separately include all the functional blocks shown in the drawings or follow all the steps shown in the drawings in the order shown in order to achieve the intended effect of the present invention, even if not, the technical skills of the present invention described in the claims Note that it may fall within the range.

10: Server
20: information collection department
20a: product information collection unit
20b: feedback information collection unit
20c: Big data management department
30: simulation driving unit
40: Conformity evaluation unit
50: design change unit

Claims (7)

In the method for the server to perform simulation for CCTV installation,
A CCTV installation configuration option selection step of acquiring information about a configuration option including at least one of a classification of a place to install CCTVs from a user device, a purpose of installation, and the number of devices to be installed;
A product confirmation and selection step of providing a list of selectable CCTV products to the user device and receiving product selection information received from the user device;
A drawing registration step of registering a drawing by receiving drawing information of a place where a CCTV is to be installed from a user device;
An installation and driving simulation step of performing a simulation for CCTV installation and driving based on information on the configuration options, the product selection information, and the drawing information, and displaying simulation information on the registered drawing; and
Based on the CCTV blind spot ratio calculated according to the simulation, suitability evaluation of setting values for information on configuration options and product selection information is evaluated, and when the measured suitability is below the standard value, suitability evaluation recommends changing setting values. And a setting value change recommendation step; including,
In the simulation step,
In the drawing, elements such as walls, doors, and windows are automatically analyzed to extract installation locations where CCTVs can be installed, calculate not only the extracted currently set location but also the range in which CCTVs can be moved and installed, and set values later. When a change is requested, the simulation is re-executed by automatically changing the installation location of CCTV within the range of the installation possible location, and based on the information such as the number of CCTV product information and the number of products selected by the user, the CCTV installation location on the drawing. , simultaneously displaying the angle of view and viewing distance that the CCTV product can shoot at the location,
In the drawing registration step,
Drawing input step of acquiring a drawing file from a user;
Required information omission confirmation step of determining whether essential information including at least one of the area of the space to be photographed, the existence of a structure capable of installing a CCTV camera, and the desired CCTV installation location is missing in the drawing file obtained from the user. ;
Additional information input step of directly inputting the missing essential information from the user when the missing essential information exists; and
Including; drawing registration completion step;
In the omission confirmation step,
If the drawing is not in a pre-designated format or if the drawing is not acquired, it is determined that missing essential information exists,
In the step of inputting additional information,
providing a drawing generating program to a user;
Obtaining a production drawing including an image element through the drawing generation program;
Determining the simulation operation requirements of the production drawing, and maintaining the drawing generation operation by the drawing generation program when the simulation operation is impossible; and
Completing the drawing registration for the production drawing by completing the drawing generation operation for the production drawing when all simulation operation requirements of the production drawing are obtained from the user through the drawing generation program; Characterized by CCTV installation simulation method. According to claim 1,
The CCTV installation configuration option selection step is
A CCTV installation simulation method characterized by presenting selection items classified according to use characteristics, scale characteristics, regional characteristics, and population density characteristics while presenting the user to select a place to install CCTV. delete delete According to claim 1,
The suitability evaluation and setting value change recommendation steps
If the measured suitability is below the standard value, the change of the setting value is recommended, but the setting value including at least one of the specifications of the device, the number of devices, and the installation location is automatically changed and recommended according to the pre-programmed value. Characterized in that CCTV installation simulation method. According to claim 1,
The suitability evaluation and setting value change recommendation steps
It is recommended to change the set value in consideration of the results of big data analysis performed based on product information obtained from sellers, feedback information obtained from users, crime and fire occurrence information obtained from institutions, and simulation use history information of users,
CCTV installation simulation method, characterized in that it further comprises an operation of calculating and recommending the most preferred CCTV product for the purpose of classifying the CCTV installation location input by the user and installation purpose. In the simulation system for installing CCTV consisting of a server and a user device,
The server
From the user device, information on configuration options including the classification of the place where CCTV is to be installed, the purpose of installation and the number of devices to be installed, and selection information of the CCTV product to be installed are obtained, and a drawing of the place where CCTV is to be installed Simulation of receiving information, registering a drawing, driving a simulation for CCTV installation based on the acquired information, and providing a result of displaying simulation information on CCTV installation and operation on the registered drawing to the user device. driving unit;
Conformity evaluation unit for evaluating the suitability of the information on the configuration option and the setting value for the product selection information based on the ratio of CCTV blind spots calculated as a result of the simulation driven by the simulation driving unit; and
If the suitability measured by the conformity evaluation unit is below the standard value, it is recommended to change the set value, but the set value including at least one of the specifications of the device, the number of devices, and the installation location is automatically changed and recommended according to the pre-programmed value Including; a design change unit to do;
The server,
In the drawing, elements such as walls, doors, and windows are automatically analyzed to extract installation locations where CCTVs can be installed, calculate not only the extracted currently set location but also the range in which CCTVs can be moved and installed, and set values later. When a change is requested, the simulation is re-executed by automatically changing the installation location of CCTV within the range of the installation possible location, and based on the information such as the number of CCTV product information and the number of products selected by the user, the CCTV installation location on the drawing. , simultaneously displaying the angle of view and viewing distance that the CCTV product can shoot at the location,
In registering the drawing,
When a drawing file is obtained from the user device, whether or not essential information including at least one of the area of the space to be photographed, the existence of a structure capable of installing a CCTV camera, and the desired CCTV installation location is missing in the drawing file judge,
If the missing essential information exists, obtaining additional information, which is the missing essential information, from the user device, completing registration for the drawing,
In determining whether the missing information exists, if the drawing is not in a pre-designated format or the drawing is not acquired, it is determined that missing essential information exists;
If the drawing is not in a pre-designated format or if the drawing is not acquired, a drawing generating program is provided through a user device to obtain a manufacturing drawing including an image element through the drawing generating program,
If the simulation operation requirements of the production drawing are determined, and if the simulation operation is impossible, the drawing generation operation by the drawing generation program is maintained, but if all simulation operation requirements of the production drawing are obtained through the drawing generation program, the By completing the drawing generation operation for the production drawing, CCTV installation simulation system, characterized in that to complete the drawing registration for the production drawing.

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