KR20200099361A - Apparatus for laundry odering service using clothes image and method thereof - Google Patents

Abstract

According to an embodiment of the present invention, a method of operating a laundry order service apparatus using a clothing image is provided. The method comprises the steps of: receiving a laundry order from a user, wherein the laundry order includes an image of at least one requested laundry; in response to the laundry order, identifying information about the laundry and contamination status of the laundry from the image; and providing laundry information on the laundry based on information on at least one of the identified laundry and the contamination status. The laundry information may include at least one affiliated store where the laundry order for the laundry is possible and information on a laundry cost, a laundry method, and a washing period for the laundry of each affiliated store.

Description

Laundry order service device using clothes image and its operation method {APPARATUS FOR LAUNDRY ODERING SERVICE USING CLOTHES IMAGE AND METHOD THEREOF}

The present invention relates to a laundry order service apparatus using a clothing image and a method of operation thereof, and more specifically, information such as a type of clothing, a washing method, and a washing unit price to a user through a photographed image of the clothing transmitted from a user terminal. The present invention relates to a laundry order service apparatus using an image of a laundry and an operation method thereof that provides a laundry request/collection and delivery service for laundry based thereon.

In general, washing methods can be divided into two methods: water washing (wet washing) in which contaminants are removed using water and detergent, and dry cleaning (dry washing) in which contaminants are removed using organic solvents.

Washing with water mainly uses water, so it can be easily done at home, but dry cleaning requires special equipment and technology, so it is mainly performed professionally in laundry. Such dry cleaning laundry is very effective for clothing products such as wool, silk, acetate, etc., which may be damaged by water and detergent, or the shape of the material may change.

However, in recent years, for the convenience of life, not only professional laundry such as dry cleaning, but also water washing and clothing repair have been performed in the laundry, and these laundry are becoming more common and gradually becoming larger, specialized, and mechanized.

However, in order to use the laundry service, there is an inconvenience in that the user must directly take the laundry to a nearby laundry. Of course, some laundries provide a service to visit their homes, but as crimes pretending to occur frequently occur, most users use the laundry as a way to directly leave the laundry.

In addition, in order to provide an on-site laundry service, professional manpower and investment funds are required because the service provider must directly operate the laundry. In recent years, there is a disadvantage that a lot of startup funds are required because stores have to be established for the laundry business that has become a specialized chain store.

(Patent Document 1) Korean Laid-Open Patent Publication No. 10-2012-0058640 (“Laundry management system and method of laundry specialty store using RFID”)

The present invention has been devised to solve the above problems, and the present invention automatically provides information such as the type of clothing, a washing method, and a washing unit price to the user through a photographed image of the clothing transmitted from the user terminal, and based on this An object of the present invention is to provide a laundry order service apparatus and an operation method thereof using an image of a clothing that provides laundry request/collection and delivery services for

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

According to an embodiment of the present invention, a method of operating a laundry order service apparatus using a clothing image is provided. The method comprises the steps of: receiving a laundry order from a user, the laundry order including an image of at least one requested laundry; In response to the laundry order, identifying information about the laundry and the contamination status of the laundry from the image; And providing laundry information for the laundry based on information on at least one of the identified laundry and the contamination state, wherein the laundry information includes at least one affiliated store capable of ordering laundry for the laundry and the It may include information on the laundry cost, laundry method, and laundry period for each of the affiliated stores.

Preferably, the information on the laundry may include information on at least one of the type, brand, material, and recommended washing method of the laundry.

Also, preferably, the at least one affiliate store may be an affiliate store located within a predetermined range from the location of the user.

Also, preferably, the laundry order may further include information on at least one of a laundry collection request date, a desired completion date, a laundry item, a quantity, and a desired laundry cost.

In addition, preferably, the step of providing the laundry information is performed by comparing information on at least one of the user's location, the identified laundry, and the contamination state with affiliate store information stored in a database, and the affiliate store information is It may include at least one of the location of the affiliated store, the laundry handled, the laundry unit price and washing period for each type of laundry, and the laundry unit price and laundry period for each contamination state.

In addition, preferably, in response to the provision of the laundry information, receiving a selection for one of the at least one affiliated store from the user, and transmitting an order acceptance request to the selected affiliated store; And receiving an order acceptance from the selected affiliate store in response to the delivery of the order acceptance request.

In addition, preferably, it further comprises the step of receiving information on the progress of the laundry process from the merchant accepting the order, and providing the information to the user, wherein the information on the progress of the laundry includes whether or not the laundry is collected, whether or not the laundry is completed, and whether or not to deliver the laundry. May include information about.

Also, preferably, the step of identifying the laundry and the information on the contamination state of the laundry may be performed by a machine learning module based on an artificial neural network.

In addition, preferably, further comprising the step of learning the machine learning module from learning data including a plurality of accumulated comparison images, the comparison image is the laundry and the information on the contamination state of the laundry is identified It may be an image of laundry or clothing different from the requested laundry.

According to an embodiment of the present invention, a computer-readable recording medium in which a program for performing the method is recorded is provided.

According to the present invention, by identifying laundry information and contamination status information of laundry through analysis of laundry images included in laundry orders, it is possible to establish an objective fee system by predicting laundry costs before receiving laundry orders, and receiving laundry orders. You can prevent disputes after washing by identifying and recording the condition of the previous laundry.

In addition, according to the present invention, it is possible to improve the user's satisfaction with the laundry service by enabling the selection of an appropriate affiliate store according to the user's laundry order.

In addition, according to the present invention, the user can easily check the washing progress status of the laundry, thereby increasing the user's convenience.

Further, according to the present invention, by identifying laundry information and contamination state information of laundry using a machine learning module based on an artificial neural network, it is possible to increase accuracy, convenience and speed in providing laundry information.

Brief description of each drawing is provided in order to more fully understand the drawings cited in the detailed description of the present invention.
1 shows a laundry order service system according to an embodiment of the present invention.
2 shows a laundry order service apparatus according to an embodiment of the present invention.
3 shows a method of operating a laundry order service apparatus according to an embodiment of the present invention.
FIG. 4 shows an embodiment of step S330 of FIG. 3.

Hereinafter, embodiments according to the present invention will be described with reference to the accompanying drawings. In adding reference numerals to elements of each drawing, it should be noted that the same elements are assigned the same numerals as possible even if they are indicated on different drawings. In addition, in describing an embodiment of the present invention, if it is determined that a detailed description of a related known configuration or function obstructs an understanding of the embodiment of the present invention, a detailed description thereof will be omitted. In addition, embodiments of the present invention will be described below, but the technical idea of the present invention is not limited thereto or is not limited thereto, and may be modified and variously implemented by those skilled in the art.

Throughout the specification, when a part is said to be "connected" with another part, this includes not only "directly connected" but also "indirectly connected" with another element interposed therebetween. . Throughout the specification, when a certain 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. In addition, in describing the constituent elements of the embodiment of the present invention, terms such as first, second, A, B, (a), (b) may be used. These terms are only used to distinguish the component from other components, and the nature, order, or order of the component is not limited by the term.

1 shows a laundry order service system according to an embodiment of the present invention.

Referring to FIG. 1, a laundry order service system 1000 according to an embodiment of the present invention may include a user terminal 110, an affiliated store terminal 120, and a laundry order service device 200.

The user terminal 110 is a terminal owned by a user who orders laundry, and the user may transmit a laundry order to the laundry order service apparatus 200 using the user terminal 110. Here, the laundry order provided by the user may include an image of the laundry.

In addition, in an embodiment, the laundry order may be implemented to further include at least one of a laundry collection request date, a desired completion date, a laundry item, a quantity, and a desired laundry cost.

The affiliated store terminal 120 is a terminal owned by an affiliated store that provides a laundry service to a user through an agreement between the laundry order service device 200 and an affiliated contract, and the user is based on affiliated store information provided from the laundry order service device 200 Thus, you can select a merchant to request a laundry order. Here, the affiliated store information may be implemented to include at least one of the location of the affiliated store, the laundry handled, the laundry unit price for each type of laundry, and the laundry unit price and laundry period for each contamination condition, and the affiliated store information is the laundry order service device 200. It may be stored in the storage unit 230 and provided to the user terminal 110.

In addition, the affiliated store selected by the user may receive a laundry order acceptance request signal from the laundry order service apparatus 200 through the affiliated store terminal 120 and may accept the order in response to the laundry order acceptance request signal.

In addition, the affiliated store terminal 120 may generate information about the progress of the laundry for the accepted laundry order, and transmit the information to the laundry order service apparatus 200. Here, the information on the progress of the laundry may be implemented to include information on whether or not the laundry is collected, whether or not the laundry is completed, and whether or not to deliver the laundry.

The laundry order service device 200 may refer to a device of a platform operator that provides a platform for performing a laundry order service according to the present invention. The laundry order service apparatus 200 may receive a laundry order from the user terminal 110 and generate laundry information corresponding to the user's laundry order accordingly. In addition, the laundry order service apparatus 200 may be implemented so that the user selects an affiliate store to request a laundry order by providing the generated laundry information to the user terminal 110. In addition, the laundry order service apparatus 200 may receive an affiliate store selection from the user terminal 110 and transmit an order acceptance request signal to the selected affiliate store, and may receive order acceptance from the affiliate store terminal 120.

In addition, in an embodiment, the laundry order service apparatus 200 may be implemented to receive information on the progress of the laundry from the affiliated store terminal 120 and transmit it to the user terminal 110. To this end, the laundry order service apparatus 200 may be implemented to include a communication unit 210, a control unit 220, and a storage unit 230, which will be described in more detail with reference to FIG. 2 below.

The laundry order service is performed based on the structure of the user terminal 110, the affiliated store terminal 120, and the system 1000 of the laundry order service device 200, and prior to this, the user, the affiliated store, and/or the platform operator Between them, a predetermined agreement or contract may be concluded for performing such laundry order service.

For example, an information provision agreement may be concluded between the user and the platform operator to provide the user's location information through the user terminal 110 and the laundry order service device 200. In addition, for example, an information provision agreement may be made between the affiliated store and the platform operator to provide affiliated store information through the affiliated store terminal 120 and the laundry order service device 200, and an affiliated contract may be concluded.

2 shows a laundry order service apparatus according to an embodiment of the present invention.

2, a laundry order service apparatus 200 according to an embodiment of the present invention includes a communication unit 210, a control unit 220, and a storage unit 230, and a user terminal through the communication unit 210 (110) and/or the affiliated store terminal 120 may be directly or indirectly communicated.

Specifically, the laundry order service device 200 is a device that may include components of typical computer hardware (eg, computer processor, memory, storage, input device and output device, and other conventional computing devices; routers, switches, etc.). Using a combination of the same electronic communications device; electronic information storage systems such as network attached storage (NAS) and storage area networks (SAN)) and computer software (i.e., instructions that cause the computing device to function in a specific way). It may be to achieve the desired system performance.

The communication unit 210 of the laundry order service device 200 provides a direct connection with an external device (a user terminal 110 communicating with the laundry order service device 200, an affiliated store terminal 120, etc.) or a connection through a network. As provided for, it may be a wired and/or wireless communication unit. Specifically, the communication unit 210 may transmit data to the outside by wire or wirelessly, or receive data from the outside by wire or wirelessly and transmit it to the control unit 220 or store it in the storage unit 230. The communication unit 210 includes LAN, WCDMA (Wideband Code Division Multiple Access), LTE (Long Term Evolution), WiBro (Wireless Broadband Internet), RF (Radio Frequency) communication, wireless LAN, and Wi-Fi (Wireless Fidelity). ), NFC (Near Field Communication), Bluetooth, infrared communication, etc. can communicate. However, this is exemplary, and various wired and wireless communication technologies applicable in the art may be used according to an embodiment to which the present invention is applied. In addition, in a broad sense, the communication unit 210 may include a keyboard, a mouse, and other external input devices for receiving commands or instructions.

In addition, the control unit 220 of the laundry order service device 200 may control the overall operation of the laundry order service device 200 and signal flow between its internal components, and perform a data processing function of processing data, To this end, a hardware configuration such as a micro processing unit (MPU) or a central processing unit (CPU), a cache memory, and a data bus may be included. In addition, it may further include an operating system and software configuration of an application that performs a specific purpose.

In particular, in the present invention, the control unit 220 can identify laundry information and information on the laundry contamination status from the laundry order received from the user terminal 110, and generate laundry information based on this to the user terminal 110. Can provide. A detailed operation of the control unit 220 will be described in more detail below with reference to FIGS. 3 and 4.

Meanwhile, the control unit 220 may include a machine learning module (not shown) for identifying laundry information and information on a laundry contamination state.

The machine learning module is implemented to identify information on laundry and laundry contamination status from laundry images or images, and is an artificial neural network, in particular, a convolution neural network (CNN) or a transformation/improvement thereof. It can be implemented based on an artificial neural network.

In an embodiment, the machine learning module may be implemented as a single convolution network to enable quick identification of information about laundry and laundry contamination conditions. For example, an artificial neural network implemented by the YOLO (you only look once) algorithm may be applied, but the present invention is not limited thereto, and according to an embodiment to which the present invention is applied, detection of a plurality of objects such as SSD and R-CNN Various suitable algorithms or artificial neural networks can be applied.

In addition, the machine learning module may be trained from learning data including a plurality of accumulated comparison images. Here, the comparison image may refer to an image of laundry or clothing different from the requested laundry for which information on the laundry and laundry contamination status is identified.

In addition, the storage unit 230 of the laundry order service apparatus 200 may store various data accompanying the operation of the laundry order service apparatus 200. In addition, the storage unit 230 serves to store programs and data necessary for the operation of the laundry order service device 200. The storage unit 230, as known to a person skilled in the art, includes a hard disk drive (HDD), a read only memory (ROM), a random access memory (RAM), an electrically erasable and programmable read only memory (EEPROM), a flash memory ( flash memory), CF (Compact Flash) card, SD (Secure Digital) card, SM (Smart Media) card, MMC (Multimedia) card or memory stick, etc. The laundry order service device 200 may be provided or may be provided in a separate device.

3 illustrates a method of operating a laundry order service apparatus according to an exemplary embodiment of the present invention, and FIG. 4 illustrates an exemplary embodiment of step S330 of FIG. 5.

Referring to FIG. 3, in step S310, the communication unit 210 of the laundry order service apparatus 200 may receive a laundry order from the user terminal 110. Here, the laundry order may refer to an order in which a user requests a laundry service for predetermined clothes.

In one embodiment, the laundry order provided from the user terminal 110 may include an image of the requested laundry. In this case, the image for the requested laundry is preferably a photograph of the requested laundry taken by the user, but this is exemplary, and according to an embodiment to which the present invention is applied, the image for the laundry may be implemented in various formats such as a laundry photographing image. .

In addition, in an embodiment, the laundry order may be implemented to further include at least one of a laundry collection request date, a desired completion date, a laundry item, a quantity, and a desired laundry cost. That is, when a user creates a laundry order through the user terminal 110, at least one of a laundry collection request date, a desired completion date, a laundry item, a quantity, and a desired laundry cost is selected and included in the laundry order according to the user's situation. It can be implemented as possible. Through this, the laundry order service apparatus 200 may increase user convenience by generating laundry information based on at least one of the information included in the laundry order. For example, when a laundry order provided from the user terminal 110 includes a desired completion date, the laundry order service device 200 may be configured on the desired completion date included in the laundry order provided from the user terminal 110 based on the affiliate store information. It may be implemented to determine whether the laundry can be completed, and to select an affiliate store that can complete the laundry on a desired completion date and include it in the laundry information.

In step S320, the control unit 220 of the laundry order service apparatus 200 may identify information about the laundry and information about the contamination state of the laundry from the image of the requested laundry included in the laundry order. Here, the information on the laundry may be implemented to include at least one of the type, brand, material, and recommended washing method of the requested laundry. Specifically, the controller 220 may analyze the image included in the laundry photograph and the like and identify the laundry and information on the contamination state of the laundry by specifying the shape of the laundry.

In this way, by identifying information on laundry based on the result of image analysis of laundry included in the laundry order, laundry costs can be calculated by classifying clothes according to material in advance, so an objective laundry fee is calculated and laundry service Reliability can be increased in the provision, and by identifying information on the contamination status of laundry based on the result of image analysis on the laundry, it is possible to prevent disputes about the status of laundry after washing by recording the status of the clothes before receiving a laundry order. I can.

Meanwhile, in an embodiment, step S320 may be performed by a machine learning module based on an artificial neural network. In step S320, the machine learning module may identify information on the contamination state of laundry and laundry from the image of the requested laundry based on a learning result of the accumulated laundry or clothing image.

In this case, although not shown in FIG. 3, the method 300 of operating the laundry order service apparatus according to an exemplary embodiment may further include learning a machine learning module. For example, such learning may be performed using training data including a plurality of accumulated comparison images. Here, the comparative image refers to an image of a laundry or clothing different from the requested laundry in which information on the contamination status of the laundry and laundry was identified, and laundry and laundry contamination identified through analysis of the image of other laundry or clothing. It may be implemented to learn the machine learning module by accumulating and collecting information on the state and inputting it into the machine learning module as learning data.

In step S330, the control unit 220 of the laundry order service device 200 generates laundry information for the requested laundry based on the information on the laundry and laundry contamination status, and uses the laundry information generated through the communication unit 210 to the user. It can be provided to the terminal 110. The laundry information may include information on at least one affiliated store in which a laundry order for the requested laundry is possible, a laundry cost, a laundry method, and a laundry period for each requested laundry. In an embodiment, step S330 may include steps S331 to S333, as shown in FIG. 4.

In step S331, the controller 220 of the laundry order service apparatus 200 may search for at least one nearby affiliated store located within a predetermined range from the user location based on the location information of the user provided from the user terminal 110. .

In one embodiment, the distance range of nearby affiliated stores may be implemented so that the user sets the desired distance range through the user terminal 110. For example, by setting the user to search only affiliated stores located within a 2km radius from the user's location through the user terminal 110, it is possible to search for affiliated stores located within a desired distance range for the user's convenience.

In step S332, the control unit 220 of the laundry order service device 200 stores affiliate store information stored in the database of the storage unit 230, the location of the user, the request laundry information, and the contamination state of the requested laundry with respect to the nearby affiliate store searched in step S331. By comparing information on at least one of the information, it is possible to detect an affiliated store that can order a laundry for a requested laundry. In an embodiment, the affiliate store information may be implemented to include at least one of the location of the affiliate store, the laundry handled, the laundry unit price and washing period by type of laundry, and the laundry unit price and washing period by contamination status.

For example, when it is determined that the requested laundry is made of a material that requires special handling based on the requested laundry information, the controller 220 compares the material information of the requested laundry and the affiliated store information to the handling laundry. Affiliates that can handle the requested laundry can be detected. In addition, for example, if the desired laundry cost is included in the user's laundry order, the controller 220 compares the contamination status information of the requested laundry and the laundry unit price by contamination status of the desired laundry cost and affiliate store information, It is possible to detect affiliated stores that can provide laundry services at a desired cost. Through this, by receiving a laundry service at a member store that can handle the requested laundry, disputes can be prevented by preventing the laundry from being damaged or damaged after washing, and a laundry service that meets the conditions desired by the user can be provided.

On the other hand, the affiliate store information may be provided from the affiliate store through the affiliate store terminal 120 and stored in the storage unit 230 of the laundry order service device 200. In addition, in one embodiment, the laundry order service device 200 Affiliate store information may be generated through a user's evaluation or review of the completion of the laundry service of the affiliated store.

In step S333, the control unit 220 of the laundry order service apparatus 200 may calculate a laundry time and cost for each affiliated store detected in step S332. Specifically, the controller 220 may calculate the laundry time and cost of each affiliated store for the laundry order provided through the user terminal 110 based on the affiliated store information, and include the calculated information in the laundry information, and the user terminal ( 110), the user can select an affiliate store to request a laundry order in consideration of the laundry time and cost.

As such, in step S330, the laundry order service apparatus 200 may generate laundry information based on the requested laundry information and contamination status information identified from the image for the requested laundry in step S320, and provide the laundry information to the user. Accordingly, the user can select and select an appropriate affiliate store based on the provided laundry information in consideration of the location, laundry cost, method and period of the affiliated store.

Subsequently, in step S340, the control unit 220 of the laundry order service apparatus 200 may transmit an order acceptance request to the affiliated store selected by the user in response to provision of laundry information through the communication unit 210. Specifically, the user requests a laundry order for laundry requested by the user among at least one or more affiliated stores included in the laundry information in response to the laundry information provided by the laundry order service device 200 in step S330 through the user terminal 110 An affiliate store may be selected, and a result of the selection may be transmitted to the laundry order service device 200. Thereafter, the laundry order service apparatus 200 may transmit an order acceptance request to the affiliated store terminal 120 of the selected affiliated store received through the user terminal 110.

In step S350, the communication unit 210 of the laundry order service apparatus 200 may receive an order acceptance from an affiliate store. Specifically, in response to the order acceptance request transmitted in step S340, the affiliated store may determine whether to accept the order through the affiliated store terminal 120, and when accepting the order, order acceptance through the affiliated store terminal 120 is a laundry order service. It can be delivered to the device 200.

Meanwhile, in an embodiment, the laundry order service apparatus 200 may transmit an order acceptance result of a point of interest to the order acceptance request to the user terminal 110. For example, when the affiliated store rejects the order acceptance request, by transmitting the rejection result to the user, the user may be implemented to request acceptance of the laundry order by selecting another affiliated store capable of ordering laundry from the provided laundry information.

This is performed between steps S340 and S350, and thus may be repeatedly performed at least once or more until acceptance of the order request is made, but this is exemplary and may be performed without being limited to the number or order.

In step S360, the communication unit 210 of the laundry order service apparatus 200 may provide the user terminal 110 with information on the progress of the laundry received from the affiliated store that has accepted the laundry order. Specifically, the affiliated store terminal 120 may generate information on the progress of the accepted laundry order and transmit it to the laundry order service apparatus 200. Here, the information on the progress of the laundry may be implemented to include information on whether or not the laundry is collected, whether or not the laundry is completed, and whether or not to deliver the laundry. Accordingly, the user can easily check at which stage the laundry order is being processed through the user terminal 110.

Meanwhile, the various embodiments described in the present specification may be implemented by hardware, middleware, microcode, software, and/or a combination thereof. For example, various embodiments include one or more application specific semiconductors (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs). ), processors, controllers, microcontrollers, microprocessors, other electronic units designed to perform the functions presented herein, or a combination thereof.

Further, for example, various embodiments may be embodied or encoded on a computer-readable medium containing instructions. Instructions embodied or encoded on a computer-readable medium may cause a programmable processor or other processor to perform a method, for example, when the instructions are executed. Computer-readable media includes computer storage media. The storage medium may be any available medium that can be accessed by a computer. For example, such computer-readable media may be RAM, ROM, EEPROM, CD-ROM, or other optical disk storage medium, magnetic disk storage medium or other magnetic storage device, or instructions accessible by the computer with the desired program code or It may include any other medium that can be used to store in the form of data structures.

Such hardware, software, firmware, and the like may be implemented within the same device or within separate devices to support the various operations and functions described herein. Additionally, components, units, modules, components, and the like described as "units" in the present invention may be implemented together or separately as interoperable logic devices. The description of different features for modules, units, etc. is intended to highlight different functional embodiments, and does not necessarily imply that they must be realized by separate hardware or software components. Rather, functionality associated with one or more modules or units may be performed by separate hardware or software components or may be integrated within common or separate hardware or software components.

Although the operations are shown in the figures in a specific order, it should not be understood that these operations are performed in the specific order shown, or in a sequential order, or that all illustrated operations need to be performed to achieve the desired result. . In any environment, multitasking and parallel processing can be advantageous. Moreover, the division of various components in the above-described embodiments should not be understood as requiring such division in all embodiments, and the described components are generally integrated together into a single software product or packaged into multiple software products. It should be understood that you can.

As described above, an optimal embodiment has been disclosed in the drawings and specifications. Although specific terms have been used herein, these are only used for the purpose of describing the present invention, and are not used to limit the meaning or the scope of the present invention described in the claims. Therefore, those of ordinary skill in the art will understand that various modifications and equivalent other embodiments are possible therefrom. Therefore, the true technical scope of the present invention should be determined by the technical spirit of the appended claims.

Claims (10)

As a method of operating a laundry order service device using a clothing image,
Receiving a laundry order from a user, the laundry order including an image of at least one requested laundry;
In response to the laundry order, identifying information about the laundry and the contamination status of the laundry from the image; And
Providing washing information on the laundry based on information on at least one of the identified laundry and the contamination state,
The laundry information includes at least one affiliated store where a laundry order for the laundry is possible, and information on a laundry cost, a laundry method, and a washing period for the laundry of each of the affiliated stores. The method of claim 1,
The information on the laundry includes information on at least one of the type, brand, material, and recommended washing method of the laundry. The method of claim 1,
The at least one affiliate store is an affiliate store located within a predetermined range from the location of the user. The method of claim 1,
The laundry order further includes information on at least one of a laundry collection request date, a desired completion date, a laundry item, a quantity, and a desired laundry cost. The method of claim 3,
Providing the washing information,
It is performed by comparing information on at least one of the user's location, the identified laundry, and the contamination state with affiliate store information stored in a database,
The affiliated store information includes at least one of the location of the affiliated store, the laundry handled, the laundry unit price and washing period for each type of laundry, and the laundry unit price and laundry period for each contamination state. The method of claim 1,
Receiving a selection of one of the at least one affiliated store from the user in response to the provision of the laundry information, and transmitting an order acceptance request to the selected affiliated store; And
In response to the delivery of the order acceptance request, receiving an order acceptance from the selected merchant. The method of claim 6,
Receiving information about the progress of the laundry process from the merchant accepting the order further comprising the step of providing to the user,
The information on the progress of the washing process includes information on whether or not the laundry is collected, whether or not the washing is completed, and whether or not to deliver the laundry. The method of claim 1,
The method, wherein the step of identifying the laundry and the information about the contamination state of the laundry is performed by a machine learning module based on an artificial neural network. The method of claim 8,
Further comprising the step of learning the machine learning module from learning data including a plurality of accumulated comparison images,
The comparison image is an image of a laundry or clothing different from the request laundry for which information on the laundry and the contamination state of the laundry is identified. A computer-readable recording medium on which a program for performing the method according to any one of claims 1 to 9 is recorded.

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