KR20200111002A - Server and method for providing moving quote services - Google Patents

Abstract

According to an embodiment of the present invention, a server for providing a moving estimate service comprises: a memory storing a program for providing a moving estimate service; and a processor executing the program stored in the memory. According to the execution of the program, the processor receives first moving item information set on a list of moving items, in which an item image is required to be photographed, provided from a customer terminal and including the type and the number of the moving items, and a moving product image in which the moving items are photographed, sets second moving item information on the basis of the first moving item information and the moving item image, and calculates a moving estimate on the basis of on the second moving item information. According to the present invention, selection of a moving vehicle driver of a customer can be widened.

Description

Server and method for providing moving estimate service {SERVER AND METHOD FOR PROVIDING MOVING QUOTE SERVICES}

The present invention relates to a moving estimate service providing server and method thereof, specifically receiving information related to moving from a customer terminal, and providing a moving estimate estimate provided from a moving vehicle driver terminal to the customer terminal based on this It relates to a service providing server and a method thereof.

In general, in order to find a moving estimate online, in most cases, a customer directly inputs a list of moving items into a moving estimate program to calculate a moving estimate. However, in this case, there are many moving items, and although it is a single item, there is a difficulty in deriving an accurate moving estimate because the size and volume are different for each product.

As an example of a system for providing a moving estimate, there is a method of utilizing an image of a moving article taken using a smart phone. In this regard, in the prior art, Korean Patent Application Publication No. 2007-0104144 (Moving Estimation Service Method Using Camera Phone), a user who plans to move uses a camera phone to take pictures or videos of moving inside the house. A method is disclosed in which, when information is transmitted to a moving center server to request a moving estimate, the moving center server provides a moving cost calculated based on photo or video information to a user through SMS according to the moving estimate request.

However, even if this method is used, the method for measuring the type and size of moving items by the moving center server is not disclosed in the prior art, and if the type and size of moving items are not accurately determined, estimate a moving estimate. There is a problem that it is difficult to meet the customer's demand for a definitive moving estimate.

In order to solve the above-described problem, the moving estimation service providing server and method thereof according to the present invention analyzes moving-related information provided from a customer terminal using machine learning, and analyzes moving item information and moving additional information. It is provided through a moving vehicle driver terminal, and it is intended to make it easier for the customer to perform moving by selecting a moving estimate and moving vehicle driver based on this and transmitting the estimated moving estimate to the customer.

A server providing a moving estimate service according to an embodiment of the present invention, comprising: a memory storing a program for providing a moving estimate service; And a processor that executes a program stored in the memory, wherein the processor is set on a list of moving items that require photographing of an item image provided from a customer terminal according to the execution of the program, and the type of moving item and the number of moving items Receiving the included first moving article information and the moving article image in which the moving article is photographed, setting the second moving article information based on the first moving article information and the moving article image, and setting the second moving article information based on the second moving article information Thus, we intend to provide a moving estimate service providing server that calculates the estimated moving estimate.

In a method for providing a moving estimate service using a moving estimate service providing server according to an embodiment of the present invention, (a) it is set on a list of moving items that require photographing of the product image provided from the customer terminal, and the type of moving item and Receiving first moving article information including the number of moving articles and a moving article image in which the moving article is photographed; (b) setting second moving article information based on the first moving article information and the moving article image; And (c) calculating a moving estimate based on the second moving item information, to provide a method for providing a moving estimate service.

The moving estimate service providing server and method according to the present invention accurately extract moving article information based on moving article image and moving additional information provided from a customer terminal, and provide it to a plurality of moving vehicle driver terminals, thereby providing a moving vehicle. Allows the driver to calculate a definitive first moving estimate based on the moving item information.

In addition, the moving estimate service providing server and its method may provide a plurality of moving vehicle driver terminals to a plurality of first moving predicted estimate customer terminals, thereby broadening the breadth of a customer's choice of moving vehicle drivers.

In addition, the moving estimate service providing server and its method are used to accurately move to the customer terminal if the moving product image provided from the customer terminal and the first moving product information and the third moving product information extracted through the first machine learning model are different. There is an effect that it is possible to request input of article information, and receive accurate second moving article information as a response thereto and transmit it to the moving vehicle driver terminal.

1 is a schematic diagram showing the configuration of a moving estimate service providing server according to the present invention.
2 is a flow chart showing the progress of a method for providing a moving estimate service according to an embodiment of the present invention.
3 is a flowchart showing a detailed process of a method for providing a moving estimate service according to an embodiment of the present invention.
4 is a flowchart showing a detailed process of a method for providing a moving estimate service according to an embodiment of the present invention.
5 is a flow chart showing the progress of a method for providing a moving estimate service according to another embodiment of the present invention.
6 is a diagram illustrating a request screen for providing an image of a moving article of a customer terminal program according to embodiments of the present invention.
7 is a diagram illustrating a screen for inputting additional information about a moving member of a customer terminal program according to embodiments of the present invention.
8 is a diagram illustrating a screen for providing a list of moving items of a customer terminal program according to embodiments of the present invention.
9 is a view showing a moving item information input screen of a customer terminal program according to embodiments of the present invention.
10 is a diagram illustrating a screen for inputting a moving item list of a customer terminal program according to an embodiment of the present invention.
11 is a diagram showing an input screen for photographing moving articles of a customer terminal program according to embodiments of the present invention.
12 is a diagram illustrating a screen for inputting information about a moving type and manpower of a customer terminal program according to embodiments of the present invention.
13 is a schematic diagram showing the configuration of a first machine learning model according to embodiments of the present invention.
14 is a schematic diagram showing a learning process of a first machine learning model according to embodiments of the present invention.
15 is a diagram showing an image of a moving article displaying numerical values according to another embodiment of the present invention.
16 is a diagram illustrating a screen for confirming final moving information including additional moving information and moving item information of a customer terminal program according to embodiments of the present invention.
FIG. 17 is a diagram illustrating a screen for providing a first estimated moving estimate provided by a moving vehicle driver terminal on a customer terminal program according to embodiments of the present invention.
18 is a schematic diagram showing the configuration of a second machine learning model according to embodiments of the present invention.
19 is a schematic diagram showing a learning process of a second machine learning model according to embodiments of the present invention.
20 is a schematic diagram showing a process of calculating an estimate for a third director according to embodiments of the present invention.
21 is a diagram illustrating a screen in which a first moving estimate, a second moving estimate, and a third moving estimate are provided on a customer terminal program according to embodiments of the present invention.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art may easily implement the present invention. However, the present invention may be implemented in various different forms and is not limited to the embodiments described herein. Further, in the drawings, parts not related to the description are omitted in order to clearly describe the present invention, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a part is said to be "connected" with another part, this includes not only "directly connected" but also "electrically connected" with another element interposed therebetween. . In addition, when a part "includes" a certain component, it means that other components may be further included rather than excluding other components unless specifically stated to the contrary.

Hereinafter, a moving estimate service providing server and a method according to the present invention will be described with reference to the accompanying drawings.

1 is a schematic diagram showing the configuration of a moving estimate service providing server according to the present invention.

Referring to FIG. 1, the moving estimate service providing server 100 according to the present invention provides moving article information provided from the customer terminal to the moving vehicle driver terminal by relaying the customer terminal and the moving vehicle driver terminal, and moving based on this It relates to a server that provides the estimated moving estimate provided from the vehicle driver terminal to the customer terminal.

The moving estimate service providing server 100 may include a communication module 110, a memory 120, a processor 130, and a database (DB: 140).

The communication module 110 provides a communication interface to the moving estimate service providing server 100 by interworking with a communication network, and may perform a role of transmitting and receiving data with a customer terminal and a moving vehicle driver terminal. Here, the communication module 110 may be a device including hardware and software necessary for transmitting and receiving a signal such as a control signal or a data signal through a wired or wireless connection with another network device.

In the memory 120, a program for providing a moving estimate service may be recorded. In addition, the memory 120 may perform a function of temporarily or permanently storing data processed by the processor 130. Here, the memory 120 may include a volatile storage medium or a non-volatile storage medium, but the scope of the present invention is not limited thereto.

The processor 130 may control an entire process provided by a program for providing a moving estimate service in the moving estimate service providing server 100. Each step of the process performed by the processor 130 will be described later with reference to FIGS. 2 to 21.

Here, the processor 130 may include all types of devices capable of processing data, such as a processor. Here, the'processor' may refer to a data processing device embedded in hardware having a circuit physically structured to perform a function represented by a code or instruction included in a program. As an example of a data processing device built into the hardware as described above, a microprocessor, a central processing unit (CPU), a processor core, a multiprocessor, and an application-specific integrated (ASIC) circuit) and processing devices such as field programmable gate arrays (FPGAs), but the scope of the present invention is not limited thereto.

In the database 140, information for providing a moving estimate service may be stored. For example, additional moving information including training data of a first machine learning model and a second machine learning model to be described later, a previously provided moving estimate, moving item information, and an address of a moving facility may be stored.

Hereinafter, a method for providing the moving estimate service providing server 100 according to an embodiment of the present invention will be described in detail.

2 is a flow chart showing the progress of a method for providing a moving estimate service according to an embodiment of the present invention. 3 is a flowchart showing a detailed process of a method for providing a moving estimate service according to an embodiment of the present invention. 4 is a flowchart showing a detailed process of a method for providing a moving estimate service according to an embodiment of the present invention.

Referring to FIG. 2, first, the moving estimate service providing server 100 is set on a list of moving items that need to take an image of an item provided from a customer terminal, and includes the type of moving item and the number of moving items. A step (S200) of receiving information and an image of the moving article in which the moving article is photographed may be performed. Here, the moving article image may be at least one of a moving article photograph and a video.

In addition, the first moving article information is either moving article information selected and input from the moving article list (see Fig. 8) provided in advance to the customer terminal, or the third moving article information extracted through the first machine learning model based on the received moving article image. It may be moving item information input based on the moving item list in which the moving item information is reflected.

Here, as the first machine learning model, a deep learning model of a recurrent neural network (RNN) or a convolution neural network (CNN) may be used. Through this, the first machine learning model may be a model trained using training data in which information about each moving article image, the type of moving article, the size of the moving article, the volume of the moving article, and the weight of the moving article are matched ( 13 and 14). For example, in the first machine learning model, as the moving article image received from the customer's terminal is input, the moving article image is analyzed and output as the most similar one based on the previously trained data using CNN. Information on the type of article, size of moving article, volume of moving article, and weight of moving article can be output as third moving article information.

Accordingly, the first machine learning model may extract third moving article information including the type of moving article and the number of moving articles based on the moving article image received from the customer terminal. In step S200, as the moving article image is input, information on the type of moving article and the number of moving articles output as the most similar to the moving article image in the first machine learning model may be output as third moving article information.

Specifically, referring to FIG. 3, the step (S200) is a step of receiving a moving article image from a customer terminal (S200-1), a third moving article extracted by a first machine learning model based on the received moving article image. It may be carried out through the step of transmitting the information to the customer terminal (S200-2) and the step of receiving the first moving article information from the customer terminal receiving the third moving article information (S200-3). Accordingly, the customer can easily and accurately input the first moving article information on the program of the customer terminal by referring to the third moving article information.

For example, if there are two refrigerators and one washing machine among the third moving item information, such information may be transmitted to the customer terminal while being displayed on the moving item list, and the customer checks and corrects it and enters the first moving item. After completing the information, it can be transmitted to the moving estimate service providing server.

Next, referring to FIG. 4, the moving estimate service providing server 100 may perform a step S210 of setting second moving article information based on the first moving article information and the moving article image. Here, the second moving article information is set by comparing the first moving article information and the third moving article information, and may be moving article information that becomes basic data for finally calculating a moving estimate.

Specifically, when the first moving article information is compared with the third moving article information extracted by the first treadmill model based on the moving article image, if they are the same, the first moving article information may be set as the second moving article information. .

Meanwhile, when the first moving article information is different from the third moving article information, the moving service providing server may transmit a confirmation request for the first moving article information to the customer terminal. The customer input as a response to the confirmation request on the program of the customer terminal may be set as the second moving article information. Accordingly, when creating the first moving item information, the customer can create the second moving item information reflecting the exact type and number of moving items by adding the missing moving items by referring to the third moving item information.

Next, the moving estimate service providing server 100 may perform a step S220 of calculating a moving estimate estimate calculated based on the second moving product information.

Here, the estimated moving estimate may include a first moving predicted estimate provided by a terminal of a moving vehicle driver, a second moving predicted estimate and a third moving predicted estimate calculated from a second machine learning model to be described later. When the moving estimate service providing server 100 transmits the second moving article information to the moving vehicle driver terminal, the moving vehicle driver refers to the moving article image and/or the second moving article information provided on the program of the moving vehicle driver terminal. The first estimated moving estimate may be calculated, inputted on the program, and transmitted to the moving estimate service providing server 100. A method of calculating the second moving estimate and the third moving estimate using the second machine learning model will be described later.

In addition, in the moving estimate service providing server 100 step (S200), moving additional information including at least one of whether or not the moving target facility has an elevator, whether the moving target facility can enter a vehicle, and whether a ladder is required is received. can do. In addition, in step S220, the estimated moving estimate may be calculated based on the second moving item information and the moving additional information, and detailed contents will be described later.

Hereinafter, a method of providing a moving estimate service according to another embodiment of the present invention will be described. Meanwhile, a series of technical configurations and processes described in another embodiment of the present invention may also be applied to the method for providing a moving estimate service according to an embodiment of the present invention.

5 is a flow chart showing the progress of a method for providing a moving estimate service according to another embodiment of the present invention. 6 is a diagram illustrating a request screen for providing an image of a moving article of a customer terminal program according to embodiments of the present invention.

5 and 6, in the moving estimate service providing method, a step (S500) of receiving a moving article image in which the moving article is photographed from the customer terminal by the moving estimate service providing server 100 may be performed. . The moving estimate service providing server 100 may output a request 300 for inputting a moving article image on the screen of the customer terminal through a program of the customer terminal, and the customer may display each type of moving article previously input in the program. By clicking on the banner 310, it is possible to take pictures of moving items in connection with the camera. You can also upload pre-taken photos.

7 is a diagram illustrating a screen for inputting additional information about a moving member of a customer terminal program according to embodiments of the present invention. 8 is a diagram showing a screen for providing a list of moving items of a customer terminal program according to embodiments of the present invention. 9 is a view showing a moving item information input screen of a customer terminal program according to embodiments of the present invention. 10 is a diagram illustrating a screen for inputting a moving item list of a customer terminal program according to an embodiment of the present invention.

Referring to Figure 7, before step (S500), the moving estimate service providing server 100 through the program of the customer terminal, the address of the facility to be moved, the type, the number of floors, the structure, the presence or absence of elevators, vehicle entry availability and ladder car It is possible to request the input of additional information on the director including at least one of whether it is necessary or not. This can be divided into departure information (see FIG. 7 (a)) and destination information (see FIG. 7 (b)) and displayed on the screen of the customer terminal.

Referring to FIG. 8, before step S500, the moving estimate service providing server 100 may further include transmitting a list of moving items requiring photographing of an item image to a customer terminal. The list of moving items can have categories such as large home appliances, small home appliances, large furniture, and exercise goods. For example, the large home appliance category may include moving items such as refrigerators, washing machines, air conditioners, TVs, kimchi refrigerators, and stylers (see Fig. 8A). The large furniture category may include moving items such as beds, sofas, desks, wardrobes, and dining tables (see FIG. 8(b)).

9 and 10, on the program of the customer's terminal, the customer selects an article in the moving article list and determines the type and quantity of moving articles, and further, the type and capacity related to the characteristics of each article. Can be provided. For example, in the case of a refrigerator, whether it is a general type, a double door type, or a kimchi refrigerator, and capacity information can be provided. In addition, the customer can provide information on the quantity of boxes required for moving.

11 is a diagram showing an input screen for photographing moving articles of a customer terminal program according to embodiments of the present invention.

Referring to FIG. 11, on a program of a customer terminal, a customer may upload a moving article and/or a video of an indoor space containing the moving article and provide it to the moving estimate service providing server 100. The moving estimate service providing server 100 provides the moving article shooting video to the moving vehicle driver terminal, and the moving vehicle driver checks this to check the moving article information, such as the approximate quantity, size, and volume of the moving article, and based on this Estimated estimates for moving can be confirmed.

Referring to FIG. 12, the moving estimate service providing server 100 may request input of types of moving such as general moving, semi-packaged moving, and packing moving, and may request input of information on the presence or absence of personnel who can help moving. In response to this, the customer may input and provide the requested information on the program of the customer terminal.

In summary, when moving items are selected by the customer from the list of moving items provided through the program of the customer terminal, the moving estimate service providing server 100 provides at least one of type, size, volume, capacity, and weight for each item. It is possible to request input of moving item information, including. When the input of moving item information is completed through the program of the customer terminal, it is possible to perform step S500 by requesting input of moving item image for each moving item based on this.

13 is a schematic diagram showing the configuration of a first machine learning model according to embodiments of the present invention. 14 is a schematic diagram showing a learning process of a first machine learning model according to embodiments of the present invention.

13 and 14, after step (S500), the moving estimate service providing server 100 uses the first machine learning model based on the received moving article image to determine the type, size, and volume of the moving article. And extracting moving article information including at least one of the weight (S510).

15 is a diagram showing an image of a moving article displaying numerical values according to another embodiment of the present invention.

Referring to FIG. 15, when moving item information is not extracted using the first machine learning model in step S510, the following process may be performed.

First, the moving estimate service providing server 100 may perform a step (S511) of transmitting a request for measuring the size of a moving article to a customer terminal. In response to the request, the customer may input a numerical display moving article image displaying the size information of the moving article measured using augmented reality running on the program of the customer terminal. For example, when the moving article is a monitor, the horizontal and vertical length of the monitor can be measured using augmented reality (see Fig. 15(a)). In addition, an image in which both the monitor and its horizontal length and vertical length are displayed may be generated (refer to FIG. 15(b)), and the customer terminal program may receive such an image and transmit it to the moving estimate service providing server 100. .

The moving estimate service providing server 100 may perform a step (S512) of receiving a numerical display moving article image input on a program of the customer terminal. Next, the moving estimate service providing server 100 may perform a step (S513) of extracting moving article information including the size of the moving article from the numerically displayed moving article image.

In summary, the moving estimate service providing server 100 first attempts to extract moving article information using a first machine learning model, and if moving article information is not extracted, the above inputted in the program of the customer terminal. Numerical display Moving item information can be extracted by analyzing images of moving items.

16 is a diagram illustrating a screen for confirming final moving information including additional moving information and moving item information of a customer terminal program according to embodiments of the present invention.

Referring to FIG. 16, the moving estimate service providing server 100 may perform a step S520 of transmitting the extracted moving article information to a plurality of moving vehicle driver terminals. In addition, in this step, the moving estimate service providing server 100 provides additional moving information including at least one of the address of the moving facility, the type, the number of floors, the existence of an elevator, whether the facility to be moved can enter a vehicle, and whether a ladder is required. It can be provided by a plurality of moving vehicle driver terminals.

The moving vehicle driver may input the first estimated moving estimate calculated by reviewing moving item information and moving additional information provided on the program of the moving vehicle driver terminal on the program.

FIG. 17 is a diagram illustrating a screen for providing a first estimated moving estimate provided by a moving vehicle driver terminal on a customer terminal program according to embodiments of the present invention.

Referring to FIG. 17, the moving estimate service providing server 100 may perform step S530 of receiving a first moving estimate estimate input through a moving vehicle driver terminal in consideration of moving item information. Next, the moving estimate service providing server 100 may perform a step (S540) of transmitting the first estimated moving estimate received from the moving vehicle driver terminal to the customer terminal.

18 is a schematic diagram showing the configuration of a second machine learning model according to embodiments of the present invention. 19 is a schematic diagram showing a learning process of a second machine learning model according to embodiments of the present invention.

18 and 19, the moving estimate service providing server 100 transmits a second moving estimate estimate estimated using a second machine learning model based on the extracted moving item information to the customer terminal. Can be done.

Here, as the second machine learning model, a deep learning model of a recurrent neural network (RNN) or a convolution neural network (CNN) may be used. The second machine learning model is for each moving event including one or more moving items, information on the image of the moving article included in each moving event, the type of moving article, the size of the moving article, the volume of the moving article, and the weight of the moving article. And a model trained using training data matched with prices for moving events.

The moving estimate service providing server 100 performs an analysis as the moving article information extracted in the second machine learning model is input, and outputs price information on the moving event as the extracted moving article information and the moving article information are the most similar. It can be transmitted to the customer terminal as a second moving estimate.

In addition, the moving estimate service providing server 100 may further perform the step of updating the second machine learning model by adding the first moving estimate received in the step to the training data for the second machine learning model. As a result, it is possible to increase the accuracy of analysis of the second machine learning model.

20 is a schematic diagram showing a process of calculating an estimate for a third director according to embodiments of the present invention.

Referring to FIG. 20, the moving estimate service providing server 100 applies a first weight and a second weight to the first moving estimate and the second moving estimate, respectively, received in step S530, and A step of transmitting the sum of the weighted first moving estimate and the second moving estimate to the customer terminal as a third moving estimate estimate may be further performed.

For example, a first weight of 0.4 is applied to the estimate of the first director, and a second weight of 0.6 is applied to the estimate of the second director. Can be calculated and provided to the customer terminal. In addition, a weight of 0.5 is applied to the estimates for the first and second directors, respectively, and added to each other to calculate the estimate for the third director with the same proportion of the estimate for the first and second directors. You can also provide. As described above, by adjusting the weights, a more accurate estimate for moving can be calculated by appropriately reflecting the first and second moving estimates.

21 is a diagram showing a screen in which a first moving estimate, a second moving estimate, and a third moving estimate are provided on a customer terminal program according to embodiments of the present invention.

Referring to FIG. 21, the moving estimate service providing server 100 includes a first moving estimate estimate 171 provided by a moving vehicle driver, a second moving estimate estimate 172 extracted using a second treadmill model, and a first A total of three moving estimates including the third moving estimate 173 obtained by applying weights to the moving estimate 171 and the second moving estimate estimate 172, respectively, can be provided to the customer terminal. The customer may perform the moving by comparing the estimated moving estimate and selecting a moving vehicle driver that provides a reasonable moving estimate.

The moving estimate service providing server 100 and its method described above accurately extract moving article information by performing an analysis using machine learning based on the moving article image and moving additional information provided from the customer terminal. By providing to the moving vehicle driver terminal, the moving vehicle driver can calculate a definite first moving predicted estimate based on the moving article information.

In addition, the moving estimate service providing server 100 and its method may provide a plurality of first moving predicted estimate customer terminals from a plurality of moving vehicle driver terminals to broaden the range of selection of a moving vehicle driver for a customer who intends to move.

In addition, the moving estimate service providing server 100 and its method use augmented reality when moving article information is not extracted using the first machine learning model, and use augmented reality to provide a moving article image with a number related to the size of the moving article. By requesting the terminal and extracting the moving article information based on this, accurate moving article information can be extracted.

In addition, the moving estimate service providing server 100 and its method use a second treadmill to provide a second moving estimate and a third or higher estimate to the customer terminal, thereby guiding the customer about the appropriate moving price, and Has the advantage of being able to determine an appropriate moving price based on this and select the first moving estimate estimate provided by the moving vehicle driver.

Meanwhile, the method for providing a moving estimate service according to an embodiment of the present invention may be implemented in the form of a recording medium including instructions executable by a computer such as a program module executed by a computer. Computer-readable media can be any available media that can be accessed by a computer, and includes both volatile and nonvolatile media, removable and non-removable media. Further, the computer-readable medium may include a computer storage medium. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Although the methods and systems of the present invention have been described in connection with specific embodiments, some or all of their components or operations may be implemented using a computer system having a general-purpose hardware architecture.

The above description is merely illustrative of the technical idea of the present invention, and those of ordinary skill in the art to which the present invention pertains will be able to make various modifications and variations without departing from the essential characteristics of the present invention. Accordingly, the embodiments disclosed in the present invention are not intended to limit the technical idea of the present invention, but to explain the technical idea, and the scope of the technical idea of the present invention is not limited by these embodiments. The scope of protection of the present invention should be interpreted by the claims below, and all technical ideas within the scope equivalent thereto should be interpreted as being included in the scope of the present invention.

100: server providing moving estimate service
110: communication module
120: memory
130: processor
140: database

Claims (19)

In the method of providing a moving estimate service using a moving estimate service providing server,
(a) It is set on the list of moving items that need to be photographed, provided from the customer terminal, and receives first moving article information including the type of moving article and the number of moving articles, and moving article images where the moving article is taken. Step to do;
(b) setting second moving article information based on the first moving article information and the moving article image; And
(c) A method for providing a moving estimate service comprising the step of calculating a moving estimate based on the second moving item information. The method of claim 1,
The moving article image is at least one of a moving article photograph and video, a moving estimate service providing method. The method of claim 1,
A first machine learning model extracts third moving article information including the type of moving article and the number of moving articles based on the moving article image received from the customer terminal,
The first machine learning model is a model trained using training data in which information on each moving article image and information on the type of moving article is matched, and the first machine learning is performed as the moving article image is input in step (a). In the model, information on the type of moving article and the number of moving articles output as the most similar to the moving article image is output as the third moving article information,
The second moving article information is set by comparing the first moving article information and the third moving article information. The method of claim 3,
When the first moving article information and the third moving article information are the same, the first moving article information is set as the second moving article information. The method of claim 3,
If the first moving article information and the third moving article information are different, a confirmation request is transmitted to the customer terminal for the first moving article information, and the second moving article information is confirmed from the customer terminal. A method of providing a moving estimate service, which is set to be received as a response to a request. The method of claim 3,
The first moving article information,
Moving item information selected from the moving item list provided in advance to the customer terminal, or moving item information input based on the moving item list reflecting the third moving item information extracted based on the received moving item image Person, how to provide a moving estimate service. The method of claim 1,
In step (a), receiving additional information from the customer terminal including at least one of whether the facility to be moved has an elevator, whether the facility to be moved can enter a vehicle, and whether a ladder is required,
In step (c), a moving estimate service providing method for calculating a moving estimate based on the second moving item information and the moving additional information. The method of claim 1,
The estimated moving estimate includes a second moving estimated estimate estimated using a second machine learning model based on the second moving item information,
In the second machine learning model, for each moving event including one or more moving items, the image of the moving article included in each moving event, the type of moving article, information on the size of the moving article, and the price for the moving event are matched. It is a model trained using training data,
As the second moving item information is input, the price information for the moving event output as the most similar to the second moving item information in the second machine learning model is transmitted as the second moving estimate estimate. How to provide services. The method of claim 8,
The estimated moving estimate includes a first moving estimated estimate provided from the moving vehicle driver terminal,
The method of providing a moving estimate service further comprising the step of updating the second machine learning model by adding the first moving estimate estimate to training data for the second machine learning model. In the server that provides a moving estimate service,
A memory in which a program providing a moving estimate service is stored; And
A processor for executing a program stored in the memory,
According to the execution of the program, the processor,
It is set on the list of moving items that need to be photographed, provided from the customer terminal, and receives the first moving article information including the type of moving article and the number of moving articles and the moving article image in which the moving article is photographed, and the above A moving estimate service providing server that sets second moving article information based on the first moving article information and the moving article image, and calculates a moving estimate based on the second moving article information. The method of claim 10,
The moving article image is at least one of a moving article photograph and video, a moving estimate service providing server. The method of claim 10,
A first machine learning model extracts third moving article information including the type of moving article and the number of moving articles based on the moving article image received from the customer terminal,
The first machine learning model is a model trained using training data in which information on each moving article image and information on the type of moving article is matched, and the first machine learning is performed as the moving article image is input in step (a). In the model, information on the type of moving article and the number of moving articles output as the most similar to the moving article image is output as the third moving article information,
The second moving article information is set by comparing the first moving article information and the third moving article information. The method of claim 12,
When the first moving article information and the third moving article information are the same, the first moving article information is set as the second moving article information. The method of claim 12,
If the first moving article information and the third moving article information are different, a confirmation request is transmitted to the customer terminal for the first moving article information, and the second moving article information is confirmed from the customer terminal. A moving estimate service providing server that is set to be received as a response to a request. The method of claim 12,
The first moving article information,
Moving item information selected from the moving item list provided in advance to the customer terminal, or moving item information input based on the moving item list reflecting the third moving item information extracted based on the received moving item image Server that provides estimate service for people and directors. The method of claim 10,
Receives additional moving information including at least one of whether or not the facility to be moved has an elevator, whether the facility to be moved can enter a vehicle, and whether a ladder is required, based on the second moving item information and the moving additional information A server that provides a moving estimate service that calculates a moving estimate based on the method. The method of claim 10,
The estimated moving estimate includes a second moving estimated estimate estimated using a second machine learning model based on the second moving item information,
In the second machine learning model, for each moving event including one or more moving items, the image of the moving article included in each moving event, the type of moving article, information on the size of the moving article, and the price for the moving event are matched. It is a model trained using training data,
As the second moving item information is input, the price information for the moving event output as the most similar to the second moving item information in the second machine learning model is transmitted as the second moving estimate estimate. Service providing server. The method of claim 17,
The estimated moving estimate includes a first moving estimated estimate provided from the moving vehicle driver terminal,
The moving estimate service providing server further comprising the step of updating the second machine learning model by adding the first moving estimate estimate to the training data for the second machine learning model. A computer-readable recording medium recording a program for executing the method of claim 1 on a computer.

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