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KR-20260063081-A - A METHOD FOR BUILDING A STRUCTURED DATABASE BASED ON INFORMATION CONTAINED IN MOBILE COUPON IMAGES

KR20260063081AKR 20260063081 AKR20260063081 AKR 20260063081AKR-20260063081-A

Abstract

According to one embodiment of the present disclosure, a method for constructing a database may be provided, comprising, by at least one processor, an operation of acquiring a first mobile coupon image; an operation of identifying text data corresponding to at least one characteristic of a first product represented by the first mobile coupon image by extracting data based on the first mobile coupon image; an operation of inferring first product information corresponding to the first mobile coupon image by inputting the text data into an artificial intelligence model; and an operation of storing the first product information in a database. The operation of inferring the first product information may include: an operation of comparing the text data with a data source in which information about a plurality of products is stored in advance; an operation of acquiring characteristic information corresponding to at least one characteristic of the first product based on the result of the comparison operation; and an operation of inferring first product information including the characteristic information.

Inventors

  • 강인구

Assignees

  • 주식회사 루미글루

Dates

Publication Date
20260507
Application Date
20241030

Claims (10)

  1. Regarding database construction methods, By at least one processor, Action of acquiring the first mobile coupon image; An operation of identifying text data corresponding to at least one characteristic of a first product represented by a first mobile coupon image by extracting data based on a first mobile coupon image; The operation of inputting the above text data into an artificial intelligence model to infer first product information corresponding to the first mobile coupon image; and The operation of storing the above-mentioned first product information in a database; is included, The operation of inferring the above-mentioned first product information is, The operation of comparing the above text data with a data source in which information about a plurality of products is pre-stored; An operation to obtain characteristic information corresponding to at least one characteristic of the first product based on the result of the above comparison operation; and A method comprising the operation of inferring first product information including the above characteristic information.
  2. In paragraph 1, A method characterized in that the above data source includes, for each of the plurality of products, information on a plurality of candidate characteristics representing the characteristics of the product and representative characteristic information corresponding to the plurality of candidate characteristics.
  3. In paragraph 2, The operation of acquiring the above characteristic information is, An operation to identify at least one candidate characteristic among the plurality of candidate characteristics that matches the text data; and A method comprising the operation of obtaining characteristic information by identifying representative characteristic information corresponding to at least one candidate characteristic.
  4. In paragraph 1, A method in which at least one of the above characteristics includes at least one of the brand or name of the product.
  5. In paragraph 1, By the above at least one processor, The operation of identifying at least one attribute corresponding to the first mobile coupon by extracting data based on the first mobile coupon image; further comprising A method in which at least one of the above attributes includes at least one of the validity period of the mobile coupon, the serial number of the mobile coupon, or the price of the mobile coupon.
  6. In paragraph 1, By the above at least one processor, An operation to identify validity period information of the first mobile coupon based on the first mobile coupon image; and A method further comprising the operation of verifying the validity of the first mobile coupon based on the above validity period information.
  7. In paragraph 6, A method further comprising the operation of setting export priority information based on the validity period information based on the first mobile coupon image whose validity has been verified.
  8. In paragraph 1, By the above at least one processor, A method further comprising the operation of encrypting the above-mentioned first product information.
  9. In paragraph 1, By the above at least one processor, A method further comprising the operation of updating the above database.
  10. In electronic devices, Memory; and It includes at least one processor electronically connected to the memory; and the at least one processor, Obtain the first mobile coupon image, and By extracting data based on a first mobile coupon image, text data corresponding to at least one characteristic of a first product represented by the first mobile coupon image is identified, and The above text data is input into an artificial intelligence model to infer first product information corresponding to the first mobile coupon image, and The above first product information is set to be stored in a database, and The above artificial intelligence model The operation of comparing the above text data with a data source in which information about a plurality of products is pre-stored; An operation to obtain characteristic information corresponding to at least one characteristic of the first product based on the result of the above comparison operation; and An electronic device configured to perform the operation of inferring first product information including the above characteristic information.

Description

A Method for Building a Structured Database Based on Information Contained in Mobile Coupon Images The present disclosure relates to image processing and database construction technology, and in particular to a method for constructing a structured database by analyzing information contained in mobile coupon images. Mobile coupons (e.g., mobile gifticons, coupons issued for online distribution, etc.) are widely used in e-commerce and mobile marketing. However, even for the same product, the way product names, sizes, and other details are expressed may differ depending on the type of mobile coupon. This inconsistency in expression makes database organization difficult and hinders the efficient management and utilization of coupon information. While existing database construction methods focus on collecting and managing text-based information, mobile coupon images have various text formats and structures, making it difficult to integrate them into a standardized database. To solve these problems, there is a need for a technology that utilizes OCR technology to extract text information from images, compares it with a predefined dataset, and stores it in a standardized format. FIG. 1 is a diagram illustrating the configuration of an electronic device for executing a standardized database construction method according to various embodiments. FIG. 2 is a diagram illustrating a method for an electronic device to build a structured database according to various embodiments. FIG. 3 is a diagram illustrating the operations of each component to build a structured database for an electronic device according to various embodiments. FIG. 4 is a diagram illustrating a method for an electronic device to infer product information corresponding to a mobile coupon image according to various embodiments. FIG. 5 is a diagram illustrating a specific method for an electronic device to infer product information using an artificial intelligence model according to various embodiments. FIG. 6 is a diagram illustrating a specific method for an electronic device to infer product information including characteristic information through comparison with a data source, according to various embodiments. FIG. 7 is a diagram illustrating a method for an electronic device to verify a mobile coupon according to various embodiments. FIG. 8 is a diagram illustrating a method of an electronic device processing a mobile coupon image according to various embodiments. Hereinafter, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. In describing the embodiments, technical details that are well known in the art to which the present disclosure belongs and are not directly related to the present disclosure will be omitted. This is intended to convey the essence of the present disclosure more clearly without obscuring it by omitting unnecessary explanations. The embodiments described in this specification are intended to clearly explain the concept of the invention to those skilled in the art to which the invention pertains, and therefore the invention is not limited to the embodiments described in this specification, and the scope of the invention should be interpreted to include modifications or variations that do not deviate from the concept of the invention. The terms used in this specification have been selected to be as widely used as possible, taking into account their functions in the present invention; however, these terms may vary depending on the intent of those skilled in the art to which the present invention pertains, case law, or the emergence of new technologies. However, if a specific term is defined and used with an arbitrary meaning, the meaning of that term will be described separately. Accordingly, the terms used in this specification should be interpreted based on their actual meaning and the content throughout this specification, rather than merely their names. The drawings attached to this specification are intended to facilitate the explanation of the present invention. The shapes depicted in the drawings may be exaggerated as necessary to aid in understanding the present invention, and therefore the present invention is not limited by the drawings. In this specification, each of the phrases such as “A or B”, “at least one of A and B”, “at least one of A or B”, “A, B or C”, “at least one of A, B and C”, and “at least one of A, B, or C” may include any one of the items listed together in the corresponding phrase, or all possible combinations thereof. In cases where it is determined that a detailed description of known components or functions related to the present invention in this specification may obscure the essence of the invention, such detailed description shall be omitted as necessary. Furthermore, numbers used in the description of this specification (e.g., First, Second, etc.) are merely identification symbols to distinguish one component from another. Furthermore,