KR20230046883A - Companion animal information collection system through pet shop and information collection method using it - Google Patents

Abstract

The present invention relates to a companion animal information collection system through pet shops and an information collection method using the same, and more specifically, to a companion animal information collection system through pet shops and an information collection method using the same, wherein the system uses data accumulated in pet shops, centers for companion animal transactions, to collect information companion animals. Accordingly, the present invention provides a companion animal information collection system through pet shops and an information collection method using the same, wherein the system comprises: a pet shop terminal (100) which is for a companion animal transaction between a consumer and a pet shop and for data exchange between the pet shop and an entity information management server (200); an entity information management server (200) which receives information collected by the pet shop terminal (100) to store and process the same. The pet shop terminal (100) comprises: an entity information input module (110) for inputting entity information of animals; an entity information authentication module (120) for authenticating entity information of the input animal; and a selling contract concluding module (130) for concluding a selling contract between a consumer and a pet shop. The entity information input module (110) comprises an OCR module (111) for extracting tests from a transaction statement, and a muzzle print obtaining module (112) for obtaining a muzzle print of a companion animal.

Description

Companion animal information collection system through pet shop and information collection method using it {Companion animal information collection system through pet shop and information collection method using it}

The present invention relates to a companion animal information collection system through a pet shop and an information collection method using the same, and more particularly, to a pet shop for collecting companion animal information using data accumulated in the pet shop, which is the center of companion animal transactions. It relates to a companion animal information collection system and information collection method using the same.

In pet insurance, which has recently become an issue, the loss ratio of 8 pet insurance companies has exceeded 300% (2019 Insurance Development Institute data (excerpt from 2019 pet insurance trend research) ① unfair premium claims for unregistered animals (33.5%), ② Unresolved animal and owner certification issues (23.4%), ③ low animal registration rate (21.8%) are being investigated as the main causes.

In other words, prevention systems or technologies related to “people” have limitations in preventing fraud in pet insurance, and in particular, the technical problem of accurately matching owner and companion animal information has not been resolved.

In the case of some pet insurance companies, regardless of whether or not the animal is registered, the age range is widened (2 months to 8 years old can be enrolled), but

① Unfair claim for insurance money (Typical type: ⑴ Receive treatment that is not needed during treatment and make a claim ⑵ Raise two of the same species, one is insured, the other is not insured and uninsured after treatment and subscribed to companion animal insurance act of claiming)

② Deceive the age of the individual ③ Hide the pre-existing condition at the time of subscription and treat immediately after the insurance takes effect, the loss rate is increasing over time.

As fraud against companion animals increases as described above, it is difficult for insurers to develop affordable pet insurance products due to low trust in companion animal owners, and high insurance premiums act as a factor hindering the increase in pet insurance subscription rates. For this reason, the domestic pet insurance subscription rate is very low at around 1%.

This problem is due to the limitations of conventional companion animal information collection.

Related prior literature is introduced below. Identification codes in the following prior documents are irrelevant to the present invention.

Republic of Korea Patent Registration No. 10-1903377 'Integrated management of animal individual information related to animal insurance and treatment entity specific system using entity recognition means' receives insurance patients using entity recognition means (terminal) and provides treatment related to insurance claims In each process, an order is placed after scanning through object recognition means to prevent general patients from receiving unfair insurance benefits, and to provide animal information related to animal insurance that can specifically specify the patient's treatment history. It is about a treatment entity specific system using integrated management and entity recognition means.

According to the above configuration, from the reception stage through the electronic chart, the insurance subscriber is scanned and received through the entity recognition means (reader), and in the case of insurance claim-related treatment of the insurance subscriber, each treatment such as inspection, treatment, prescription, approval, etc. All parts that may be claimed for insurance related to insurance performed at each stage are scanned through object recognition means (reader) and then go through the treatment stage, and this is recorded as an action log record to verify the treatment claim of the insurance-related object. It is possible to eliminate distrust between insurers, guardians, and veterinarians by further subdividing and providing a large number of objective judgment samples for verification.

Korean Patent Publication No. 10-2020-0042379 'An animal identification method combining a plurality of entity identification technologies, a method and apparatus for providing animal insurance service using the same' is an animal identification method combining a plurality of entity identification technologies and an animal using the same An insurance service providing method and apparatus are disclosed. An animal insurance service providing method using an animal identification method combining a plurality of entity identification technologies includes selective entity identification information using at least one of tag recognition, image recognition, and voice recognition according to an entity identification type selected for insurance subscription of a target animal. Receiving an animal insurance subscription request that includes; obtaining a genetic test result for the target animal as essential individual identification information; and determining whether or not the target animal is eligible for insurance by using at least one of the optional entity identification information and the essential entity identification information.

However, No. 10-1903377 or No. 10-2020-0042379 also failed to provide technology to accurately match the information of the owner and the companion animal, and sufficient information collection on the companion animal was insufficient.

Republic of Korea Patent Registration No. 10-1903377 'Integrated management of animal individual information related to animal insurance and treatment entity specific system using entity recognition' Registration date September 21, 2018 Republic of Korea Patent Registration No. 10-2194684 'Animal Identification Method Combining Multiple Entity Identification Technologies, Method and Device for Providing Animal Insurance Service Using the Same' Registration Date December 17, 2020

The problem of the conventional insurance service for companion animals is that there is no data on companion animals in infancy, so risks and loss rates cannot be predicted. In addition, it is not easy to specify the insured entity, which is a companion animal, to verify authenticity, and thus it is extremely difficult to conclude an insurance contract.

Accordingly, the present invention aims to solve the above problems by providing a systematic information collection system for companion animals.

The technical problem to be achieved by the present invention is not limited to the above-mentioned technical problem, and other technical problems not mentioned can be clearly understood by those skilled in the art from the description below. There will be.

In order to achieve the above technical problem, an embodiment of the present invention provides a pet shop terminal 100 for trading of companion animals between a consumer and a pet shop and data exchange between the pet shop and an object information management server 200; In the companion animal information collection system through the pet shop including an object information management server 200 for receiving, storing, and processing information collected from the pet shop terminal 100,

The pet shop terminal 100 includes an entity information input module 110 for inputting entity information of an animal; an entity information authentication module 120 for authenticating the input entity information of the animal; a sales contract conclusion module 130 for concluding a sales contract between a consumer and a pet shop; Including,

The object information input module 110 includes an OCR module 111 for extracting text from transaction slips and contracts; An inscription acquisition module 112 for acquiring an inscription of a companion animal; including,

The entity information management server 200 includes an entity information database 210 storing information collected from the pet shop terminal 100; a text image classification module 220 for classifying the information input from the object information input module 110 into text and image information; a metadata generation module 230 for generating metadata for classified data and assigning a unique management number; a profiling module 240 for profiling the entity information of the entity information database 210, including animal species, age, and medical records information, through a graph-based clustering method; an AI module 250 for clustering processing of the profiling module 240 and normalization processing of unstructured data; an operating guideline providing module 260 for deriving operating guideline information of the pet shop through the AI module 250 based on the profiling information of the profiling module 240; Provides a companion animal information collection system comprising a.

According to the present invention, by systematically collecting and normalizing information collected from pet shops, which are the contact points where companion animals first meet owners and a base where important information is produced, insured by using a wide range of information from sale to pet nurturing. It can be expected to have the effect of enabling pet insurance service while solving problems such as object identification and authenticity confirmation.

Furthermore, according to the present invention, an operation guideline of the pet shop is provided based on the collected information, so that the smooth operation of the pet shop can be expected.

The effects of the present invention are not limited to the above effects, and should be understood to include all effects that can be inferred from the detailed description of the present invention or the configuration of the invention described in the claims.

1 is a block diagram of a companion animal information collection system of the present invention.
2 is an example of a transaction slip of a companion animal.
3 is an example of a contract for sale of a companion animal.

Hereinafter, the present invention will be described with reference to the accompanying drawings. However, the present invention may be embodied in many different forms and, therefore, is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a part is said to be "connected (connected, contacted, combined)" with another part, this is not only "directly connected", but also "indirectly connected" with another member in between. "Including cases where In addition, when a part "includes" a certain component, it means that it may further include other components without excluding other components unless otherwise stated.

Terms used in this specification are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this specification, terms such as "include" or "have" are intended to indicate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other features It should be understood that the presence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded.

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

2 is an example of a companion animal transaction slip, and FIG. 3 is an example of a companion animal sales contract. A pet shop is the first point of contact between companion animals and their owners and a base for producing important information, and early information such as when companion animals are first sold is produced. In the transaction slip in Figure 1, information such as breed, health condition, registration number, license number, and hair color is described, and in the sales contract in Figure 2, inoculation status, inoculation site, sale amount transaction details, adoptee's personal information, etc. The main information of is described. However, since such information is not systematically managed, at least 400 pieces of important data are left unattended in one pet shop on a yearly basis. Accordingly, the present invention provides a system for systematically processing the above information as follows.

1 is a block diagram of a companion animal information collection system of the present invention. As shown in FIG. 1, the present invention includes a pet shop terminal 100 for trading of companion animals between a consumer and a pet shop and data exchange between the pet shop and an object information management server 200;

In the companion animal information collection system through the pet shop including an object information management server 200 for receiving, storing, and processing information collected from the pet shop terminal 100,

The pet shop terminal 100,

an entity information input module 110 for inputting entity information of an animal;

an entity information authentication module 120 for authenticating the input entity information of the animal;

a sales contract conclusion module 130 for concluding a sales contract between a consumer and a pet shop;

Including,

The object information input module 110,

an OCR module 111 for extracting text from transaction slips and contracts;

An inscription acquisition module 112 for acquiring an inscription of a companion animal;

Including,

The object information management server 200,

an object information database 210 for storing information collected by the pet shop terminal 100;

a text image classification module 220 for classifying the information input from the object information input module 110 into text and image information;

a metadata generation module 230 for generating metadata for classified data and assigning a unique management number;

a profiling module 240 for profiling the entity information of the entity information database 210, including animal species, age, and medical records information, through a graph-based clustering method;

an AI module 250 for clustering processing of the profiling module 240 and normalization processing of unstructured data;

an operating guideline providing module 260 for deriving operating guideline information of the pet shop through the AI module 250 based on the profiling information of the profiling module 240;

Provides a companion animal information collection system comprising a.

A history management application for sales contract, insurance contract, and management of companion animals is installed in the pet shop terminal 100, and the application includes an entity information input module 110 for inputting entity information of an animal; an entity information authentication module 120 for authenticating the input entity information of the animal; It includes software modules of the sales contract conclusion module 130 for concluding a sales contract between the consumer and the pet shop.

Through the entity information input module 110, information such as an animal's epitaph, photo, age, breed, treatment history, vaccination status, pedigree information, etc. is input. Accordingly, the input module 110 may include a hardware module of an input device such as a camera for obtaining image information such as an inscription or a picture in addition to a software module. As the above hardware module, an OCR (optical character reader/recognition) module 111 for extracting the text of a transaction slip and an inscription acquisition module 112 for obtaining an inscription of a companion animal can be applied. do. The inscription acquisition module 112 applies AI technology (object detection, landmarks detection, deblurring, etc.) to automatically recognize the inscription area without user intervention, thereby increasing convenience. It is desirable to increase

The entity information authentication module 120 converts the received information such as inscription, photo, age, breed, treatment history, vaccination status, and lineage information into the entity information database 210 of the entity information management server 200. It checks whether the entity matches by comparing the information in , and accordingly, it is possible to solve problems such as insurance fraud using other similar animals that have not been subscribed to the insurance contract.

The sales contract conclusion module 130 for concluding a sales contract between the consumer and the pet shop processes the sales contract between the consumer and the pet shop when the pet shop sells animals. The sales contract may include registration and renewal procedures in the object information database 210, ownership transfer procedures, price payment procedures, and the like.

The OCR module 111 for extracting the text of the transaction slip and contract from the object information input module 110 extracts the text of the transaction slip of FIG. 1 and the text of the contract of FIG. It acquires information such as color, inoculation status, inoculation site, distribution amount transaction details, and adoptee's personal information. In addition, the object information input module 110 obtains an image through a camera and acquires image information of a companion animal.

The entity information of the animal includes structured data and unstructured data, and when the entity information is an inscription, the history management application acquires the inscription through the inscription acquisition module 112. The epitaph acquisition module 112 may acquire the epitaph by taking a close-up of the companion animal's nose.

As described above, the text image classification module 220 that classifies the information input from the object information input module 110 into text and image information includes variety, health condition, registration number, license number, color, inoculation status, and inoculation paper. It classifies text information such as sales amount, transaction details, personal information of adopters, and photo information of companion animals.

The classified information is given a unique management number by the metadata generation module 230, and related metadata is created. Through the above configuration, analog data such as transaction slips or sales contracts are sorted, and metadata is generated and converted into searchable digital data.

The object information database 210 is preferably operated through a separate entity information management server 200 from a separate insurance company, and to supplement the limitations of existing fraud detection technology applied to 'human' insurance, animal It is preferable to apply insurance claim profiling through the category segmentation and profiling module 240 . That is, by profiling by the profiling module 240 through a graph-based clustering method for each element of the medical statement, such as the animal species, age, and disease, the criterion information for determining the possibility of billing fraud is provided. .

In addition, it is preferable that the entity information management server 200 that manages the entity information database 210 includes an AI module 250 to process clustering and other unstructured data. The unstructured data collectively refers to all data other than standardized text information such as images, and can be classified and processed through CNN technology. The image of the inscription can also be specified through the AI module 250.

In addition, the AI module may have a learning-based algorithm that simultaneously considers the structured data and the unstructured data. An example of a learning-based algorithm is shown below.

○ In the preprocessing process, missing values, outliers, etc. are checked and deleted or replaced with average values.

○ If the units of variables are different or the distribution of variables is biased, normalize using scale, log function, etc.

○ Select statistically significant variables using test methods such as t-test and chi-square test for the variables created in the previous step.

○ Divide the variables created in the previous step into independent variables and dependent variables to test with the machine learning method

○ Delete unnecessary parts of unstructured data (photos, inscriptions) and perform labeling for learning

○ Labeling is expressed as a one-hot vector in a format suitable for machine learning

○ For CNN analysis, use a model created in advance using inscription photos and face photos collected after the conversion process in vector form for CNN analysis. Vector conversion by weed-embedding each test data sample.

○ Perform machine learning by analyzing the data converted by Wid embedding with CNN, and extract the result value from the sample

○ Heterogeneous combination of structured data input variables and unstructured data result values to create a final integrated data set, and apply algorithms to the through-through data set to perform learning

Through the above algorithm, structured data and unstructured data are sorted and profiled at the same time, which can be applied to determine the identity and authenticity of an entity.

Based on the profiling information of the profiling module 240, the operation guideline providing module 260 that derives the operation guideline information of the pet shop through the AI module 250 utilizes the deep learning technology of the AI module 250 and continuous insight extraction to implement service advancement. The guideline information may include preparation for specific diseases, demand trends, guide information for each life cycle, and the like.

An example of guide information provided from the guideline providing module 260 is as follows.

1. Statistical analysis on the occurrence of disease in pre-sale animals and provision of management guide through the animal insurance service provision system

1.1 Provide statistical analysis information

- Frequency of disease in animals

- Major diseases of animals

- Animal health indicators by year/month/day

- Animal Preferred Breed Indicator

- Adoptee preference insurance statistics

1.2 Provision of management guide information

- Guidance on required vaccinations according to animal age (number of months)

- Guidance on the risk of disease occurrence according to animal age (number of months)

- Appropriate insurance information according to animal age (number of months)

2. Provide information on the points to keep in mind for animal management before and after the sale of animals

2.1 Pre-sale management precautions guide information

- Visually observable health condition check

- Health condition check through checkup kit

2.2 Guidelines on precautions for post-sale management

- Insurance guide according to animal age

- Health condition check through photos, videos, or questionnaires

- Parenting guide by animal breed and month age

3. Insurance Guide to Compensate for Pet Shop Losses

- Insurance product guide to compensate for losses due to illness or death

- Insurance product guide for resolving issues (disease or injury) with adoptees after sale

4. Provide estimated daily KPI for pet shops through statistics on owned animals, pre-sale animals, and insurance services throughout the system

- Provision of estimated sale statistics by year/month/day and estimated risk figures (comparative figures) of disease (or death)

- Provision of sales statistics by region and region, proposals for sales types, and expected KPI

- Suggestions of preferred breeds for adoption by date and provision of expected KPI

- Provision of insurance products before and after the sale of animals and provision of expected loss rates

The present invention is furthermore, in the companion animal information collection method using the companion animal information collection system,

inputting into the animal entity information DB 210 of the entity information management server 200 through the entity information input module of the pet shop terminal 100 (s100);

a step of concluding an animal sale contract between the consumer and the pet shop through the sale contract conclusion module 130 of the pet shop terminal 100 (s200);

providing guideline information to a corresponding pet shop based on the profiled information of the profiling module 240 of the entity information management server 200 by the guideline providing module 260 (s300);

Including,

Inputting the animal entity information DB 210 of the entity information management server 200 through the entity information input module of the pet shop terminal 100 (s100)

Text extraction step (s110) of the transaction slip by the OCR module (111);

an inscription acquisition step (s120) by the inscription acquisition module 112;

Classifying the information input from the object information input module 110 by the text image classification module 220 into text and image information (s130);

Generating metadata by the metadata generating module 230 of the classified data and assigning a unique management number (s140);

profiling the object information of the object information database 210 including the animal species, age, and medical treatment history information by the profiling module 240 through a graph-based clustering method (s150);

Normalizing the profiled information by the AI module 250 (s160);

It provides a pet shop insurance service providing method comprising the.

The step of inputting the animal entity information DB 210 of the entity information management server 200 through the entity information input module of the pet shop terminal 100 (s100) is an animal epitaph (卑Entity information, such as color and photo, is input into the entity information DB (210).

The object information of the animal includes structured data and unstructured data, and when the object information is an epitaph, the history management application includes an inscription photographing module, and the inscription photographing module assists the terminal camera in close-up photography for inscription photographing. do. As an example, in the text extraction step (s110) of the transaction slip by the OCR module 111 and the inscription acquisition step (s120) by the inscription acquisition module 112, the transaction slip and The OCR module 111 for extracting the text of the contract extracts the text of the transaction slip of FIG. 1 and the contract of FIG. Acquire information such as details and adoptee's personal information. In addition, the object information input module 110 obtains an image through a camera and acquires image information of a companion animal.

The entity information of the animal includes structured data and unstructured data, and when the entity information is an inscription, the history management application acquires the inscription through the inscription acquisition module 112. The epitaph acquisition module 112 may acquire the epitaph by taking a close-up of the companion animal's nose.

In step s130 of classifying the information input from the entity information input module 110 by the text image classification module 220 into text and image information, the information input from the entity information input module 110 is classified into text and image information. As described above, the text image classification module 220 classifying into image information includes text information such as breed, health condition, registration number, license number, color, inoculation status, inoculation site, pre-sale price transaction details, adoptee personal information, and the like. Photos of companion animals are classified.

In the metadata generation by the metadata generation module 230 of the classified data and the unique management number assignment step (s140), as described above, the classified information is assigned a unique management number by the metadata generation module 230. granted, and related metadata is created. Through the above configuration, analog data such as transaction slips or sales contracts are sorted, and metadata is generated and converted into searchable digital data.

In addition, profiling (s150) the entity information of the entity information database 210 including the animal species, age, and medical history information by the profiling module 240 through a graph-based clustering method and the profiled In the normalization step (s160) of the information by the AI module 250, the server managing the entity information DB processes the clustering and other unstructured data through the AI module 250. The unstructured data collectively refers to all data other than standardized text information such as images, and can be classified and processed through CNN technology. The image of the inscription can also be specified through the AI module.

As described above, as normalization of unstructured data such as images and sorting and search through metadata become possible, the object information authentication module 120 receives the input inscription, photo, age, breed, medical history, Information such as vaccination status and pedigree information is compared with information in the entity information database 210 of the entity information management server 200 to determine whether entities match. Accordingly, it is possible to solve problems such as insurance fraud using other similar animals not subscribed to an insurance contract. In other words, the determination of this match serves as basic information for determining the authenticity and identity of the animal, and the information extracted as the same entity, the information entered through the management system, and the information entered when registering the inscription all match. Whether or not to do can be made through the above AI module 250.

The animal sale contract conclusion step (s200) between the consumer and the pet shop through the sale contract conclusion module 130 of the pet shop terminal 100 is concluded by the sale contract conclusion module 130 of the sale contract application, and the animal in the contract ownership is transferred from the pet shop (sales office) to the consumer.

It is preferable that the content of the transfer contract is also stored in the object information DB 210, or it may be stored in a separate DB for storing the content of the contract.

After signing the online sales contract, a step (s210) in which the consumer inputs the object information of the animal through the terminal in which the object registration application is installed may be added. becomes information with Accordingly, the input information in the above step (s210) is compared with the object information in the step (s100) of entering the object information of the animal into the object information DB through the pet shop terminal 200 in which the history management application is installed in the pet shop and The information is continuously accumulated through the updated step (s240) and forms the history of the animal. This history continuously confirms the identity through unique identification information such as inscriptions included.

In addition, in the step (s210) of updating the entity information on the change in the owner of the entity information management server 200 through the entity information input module 110 after the conclusion of the online sale contract, the entity information of the animal is used for treatment by a veterinarian. It is desirable to include medical cost data according to the Accordingly, it is possible to solve problems such as excessive claims of insurance premiums by converting data such as a large number of treatment costs into big data and providing the data to the insurance company.

According to the configuration as described above, the present invention provides the animal entity information stored in the entity information DB 210 of the entity information management server 200 and the entity information input module of the pet shop terminal 100 through the entity information authentication module 120 The input information according to can be checked through the AI module and the profiling module.

That is, the present invention provides a multi-checking technology for error information and false information through bi-directional information exchange and comparison.

○ Firstly, for information accuracy, the data entered through the management system and the data entered through the inscription app are transmitted and stored in the object information DB of the pet shop insurance agency server to compare and contrast with the information of the subscriber of the contracted pet insurance company,

○ Check the result of sending and saving data,

○ After confirming the correspondence between the registered animal information and the information stored in our system, extract the same object information,

○ Check whether the information extracted as the same object, the information entered through the management system, and the information entered when registering the inscription match through AI technology.

○ In order to distinguish false information caused by owner's mistake and information intentionally (1) Insurance company information: (2) Pet shop insurance agency server's object information DB information (3) Comparison of inscription registration information to distinguish between erroneous information and fake information Recorded items (excluding important contract information) are judged as erroneous information if they match more than 95% and are inaccurate less than 5%. If it is more than that, it is judged as fake information and the result is provided.

○ Secondary, insurance subscription information (breed, age, owner information and inscription information) is transmitted and stored in the server, excluding important information, through the contracted pet insurance company.

○ Based on the transmitted information, the information stored in the management system and the fingerprint authentication system is verified through AI technology.

○ Divide each large item into companion animal and owner items, and divide small items into breed, age, gender / owner's name, address, and phone number, and check the consistency of the information.

○ Finally, through the inscription, it is verified whether the insured object is the same object and whether it matches the owner information.

○ Through inscription authentication, if the identity of the entity is more than 99%, the identity certification integrity of insurance subscription is determined.

The step of providing guideline information to the corresponding pet shop based on the profiled information of the profiling module 240 of the entity information management server 200 by the guideline providing module 260 (s300) is as described above. Likewise, through the animal insurance service provision system, statistical analysis and management guide on the occurrence of diseases in pre-sale animals, provision of information on necessary animal care points before and after the sale of animals, 3. Insurance guide to compensate for losses in pet shops, 4. Overall system It is possible to provide information such as expected KPI information by date of the pet shop through statistics on owned animals, sold animals, and insurance services.

That is, according to the above embodiment of the present invention, data with continuity is generated by continuously managing the history of animals, and by comparing them multiple times, a matching rate is calculated to determine the authenticity of the information, thereby related to data processing of companion animals. Thus, more reliable information can be provided.

Although the present invention has been described with the accompanying drawings, this is only one example of various embodiments including the gist of the present invention, and is intended to be easily practiced by those skilled in the art. As an object, it is clear that the present invention is not limited to the embodiments described above. Therefore, the protection scope of the present invention should be construed by the following claims, and all technical ideas within the equivalent range by change, substitution, substitution, etc. within the scope of the present invention are the rights of the present invention. will be included in the scope. In addition, it is clear that some configurations in the drawings are provided exaggerated or reduced than actual ones for more clearly explaining the configuration. In addition, claim numerals are provided only to aid understanding and do not mean that the shape and structure of the present invention are limited to the accompanying drawings.

100. Pet shop terminal
110. Entity information input module
120. Entity information authentication module
130. Sales contract conclusion module
140. Insurance contract management module
200. Pet shop insurance agency server
210. Entity information database
220. Text image classification module
230. Metadata generation module
240. Profiling module
250. AI module
260. Operation guideline provision module
300. Insurance company server

Claims (2)

a pet shop terminal 100 for transaction of companion animal between the consumer and the pet shop and data exchange between the pet shop and the object information management server 200;
In the companion animal information collection system through the pet shop including an object information management server 200 for receiving, storing, and processing information collected from the pet shop terminal 100,
The pet shop terminal 100,
an entity information input module 110 for inputting entity information of an animal;
an entity information authentication module 120 for authenticating the input entity information of the animal;
a sales contract conclusion module 130 for concluding a sales contract between a consumer and a pet shop;
Including,

The object information input module 110,
an OCR module 111 for extracting text from transaction slips and contracts;
An inscription acquisition module 112 for acquiring an inscription of a companion animal;
Including,

The object information management server 200,
an object information database 210 for storing information collected by the pet shop terminal 100;
a text image classification module 220 for classifying the information input from the object information input module 110 into text and image information;
a metadata generation module 230 for generating metadata for classified data and assigning a unique management number;
a profiling module 240 for profiling the entity information of the entity information database 210, including animal species, age, and medical records information, through a graph-based clustering method;
an AI module 250 for clustering processing of the profiling module 240 and normalization processing of unstructured data;
an operating guideline providing module 260 for deriving operating guideline information of the pet shop through the AI module 250 based on the profiling information of the profiling module 240;
Companion animal information collection system comprising a.
In the companion animal information collection method using the companion animal information collection system of claim 1,
inputting into the animal entity information DB 210 of the entity information management server 200 through the entity information input module of the pet shop terminal 100 (s100);
a step of concluding an animal sale contract between the consumer and the pet shop through the sale contract conclusion module 130 of the pet shop terminal 100 (s200);
providing guideline information to a corresponding pet shop based on the profiled information of the profiling module 240 of the entity information management server 200 by the guideline providing module 260 (s300);
Including,

Inputting the animal entity information DB 210 of the entity information management server 200 through the entity information input module of the pet shop terminal 100 (s100)
Text extraction step (s110) of the transaction slip by the OCR module (111);
an inscription acquisition step (s120) by the inscription acquisition module 112;
Classifying the information input from the object information input module 110 by the text image classification module 220 into text and image information (s130);
Generating metadata by the metadata generating module 230 of the classified data and assigning a unique management number (s140);
profiling the object information of the object information database 210 including the animal species, age, and medical treatment history information by the profiling module 240 through a graph-based clustering method (s150);
Normalizing the profiled information by the AI module 250 (s160);
Companion animal information collection method comprising a.

Images