KR-20260062317-A - Rental brokerage system for content shooting equipment based on artificial intelligence

KR20260062317AKR 20260062317 AKR20260062317 AKR 20260062317AKR-20260062317-A

Abstract

One embodiment of the present invention is a system for mediating the rental of content shooting equipment, comprising: a supplier management module into which product information regarding shooting equipment is input by a supplier who owns the shooting equipment, wherein the product information includes the specifications of the shooting equipment, the rental cost per unit period, and the available rental period; a rental applicant management module into which a rental applicant who wishes to rent the shooting equipment applies for the rental of the shooting equipment input into the supplier management module; and a prediction model generation module, wherein, based on product information provided by an information collection module, at least two different machine learning models are applied first to generate individual models, and the individual models are combined in a preset manner to generate a prediction model optimized for the product information, wherein the prediction model is trained to output information including the optimal rental cost of the shooting equipment. The system includes a contract management module that transmits rental costs provided by the prediction model generation module to the supplier management module and the rental applicant management module, and mediates a contract between the supplier and the rental applicant; wherein the prediction model generation module receives first product information regarding a new product of the shooting equipment and second product information regarding a used product from the information collection module.

Inventors

김미연

Assignees

김미연

Dates

Publication Date: 20260507
Application Date: 20241029

Claims (5)

As a system that mediates the rental of content filming equipment, A supplier management module into which product information regarding photographic equipment is input by a supplier owning photographic equipment, wherein the product information includes the specifications of the photographic equipment, a rental cost per unit period, and a rental availability period; A rental applicant management module that applies for the rental of filming equipment entered into the supplier management module by a rental applicant who wishes to rent filming equipment; Based on product information provided by the information collection module, individual models are created by primarily applying it to at least two different machine learning models, and A prediction model generation module that secondarily combines the individual models in a preset manner to generate a prediction model optimized for the product information, wherein the prediction model is trained to output information including the optimal rental cost of the shooting equipment; and A contract management module that transmits the rental cost provided by the prediction model generation module to the supplier management module and the rental applicant management module, and mediates a contract between the supplier and the rental applicant; The above prediction model generation module is, Receiving first product information regarding new products and second product information regarding used products of the shooting equipment from the above information collection module, System.
In claim 1, The above information collection module is, API connection unit for collecting the first product information from an external online shopping mall platform; A crawling connection unit that collects the second product information from an external used goods trading platform; An information processing unit that processes the above-mentioned first and second product information in a preset manner and performs processing in a preset form; and A database in which the first and second product information processed by the information department is stored; is included, The above prediction model generation module is, Training the individual models using the first and second product information loaded from the above database as training information, System.
In claim 1, It further includes a revenue calculation module that calculates the revenue of the said supplier for the rental of filming equipment in a preset manner, and The above profit calculation module is, Calculation is performed based on a dataset including the rental cost provided by the above prediction model, the rental payment cost for which an actual contract was concluded, and the depreciation cost of the above filming equipment, and the selling point is calculated in a preset manner based on the change ratio of the above rental payment cost and depreciation cost, A selling point calculation unit that proposes to the supplier a selling point when the above change ratio is above a preset range; comprising System.
In claim 3, The above selling time calculation unit is, Calculate based on at least one of the usage history information, current status information, and sample image evaluation information of the above-mentioned imaging equipment, and The above usage history information is, The above includes at least one of total usage time information, continuous usage time information, environment information in which the above-mentioned imaging equipment was used, and damage information, wherein the above-mentioned information is collected through a monitoring sensor equipped in the above-mentioned imaging equipment. The sample image above is, When the above-mentioned shooting equipment is returned by the above-mentioned rental applicant, a test operation is automatically performed, followed by an image evaluation model based on machine learning, wherein the image evaluation model is trained using sample images output from the above-mentioned shooting equipment, System.
In claim 4, The above prediction model generation module is, Updates the usage history information of the above-mentioned shooting equipment, and collects the above-mentioned second product information based on the above-mentioned usage history information, and The above profit calculation module is, Depreciation costs are calculated by a depreciation calculation model using the above usage history information and rental costs as learning information, and the supplier's revenue is calculated using rental payment costs and depreciation costs based on the updated usage history information, System.

Description

Rental brokerage system for content shooting equipment based on artificial intelligence The present invention relates to a rental brokerage system for content shooting equipment based on artificial intelligence. Due to industrialization, the distribution of various photographic equipment is increasing. However, there was a large customer base that was reluctant to purchase such equipment due to its high price and the burden of maintenance and repair costs. Recently, filming equipment rental services have been provided, and these rental services are proving to be highly attractive to consumers due to the advantages of much lower usage fees and free maintenance compared to the purchase cost. However, there is no system to provide information on specific shooting equipment that users want, so users face the inconvenience of having to search for the status of shooting equipment from rental companies one by one. For reference, with the exception of the applicant, there are no companies providing MD curation services for the convenience of users. MD Curation Service refers to a customized service in which MDs, who are experts in filming equipment, suggest equipment that is more suitable for the user's purpose, expertise, and budget. It can be understood as a service that recommends appropriate equipment for various situations based on the MDs' know-how, provides consultation on components, and offers content such as training methods related to filming equipment. However, since this method is performed directly by experts, it requires some cost and time, and there is a problem in that many services cannot be provided quickly. As prior art, Korean Registered Patent No. 10-2617660, titled 'Server operating a content shooting equipment rental brokerage and management platform based on STO and a method for content shooting equipment rental brokerage and management using the same,' is disclosed. The prior art discloses a technology that enables a client to rent optimal content shooting equipment by matching information on factors determined when selecting content shooting equipment with information on the current status of the content shooting equipment to provide information on the optimal content shooting equipment desired by the client. However, the above prior art does not disclose a method for calculating depreciation costs or the timing of the sale of rental filming equipment. From the perspective of the owner of the filming equipment, it is very important not only to calculate the optimal profit but also to calculate the used selling price and the timing thereof. (Patent Document 1) Korean Registered Patent No. 10-2617660 Other aspects, features, and benefits of specific preferred embodiments of the present invention, as described above, will become more apparent from the following description in conjunction with the accompanying drawings. FIG. 1 is a conceptual diagram of a system according to one embodiment of the present invention. FIG. 2 is a block diagram showing the configuration of a system according to one embodiment of the present invention. FIG. 3 is a block diagram schematically showing the process of training an image evaluation model and a depreciation calculation model in a system according to one embodiment of the present invention. FIG. 4 is a block diagram schematically showing the process of calculating the selling point of rental filming equipment after calculating the depreciation cost using a depreciation calculation model of a system according to one embodiment of the present invention. FIG. 5 is a conceptual diagram schematically showing the process of developing an AI model in a system according to one embodiment of the present invention. FIG. 6 is a conceptual diagram schematically showing the process of developing an AI model for the status of shooting equipment and rental revenue in a system according to one embodiment of the present invention. Hereinafter, various embodiments of the present invention are described with reference to the accompanying drawings. The present invention is not limited to specific embodiments and should be understood to include various modifications, equivalents, and/or alternatives of the embodiments of the present invention. In connection with the description of the drawings, similar reference numerals may be used for similar components. In this document, expressions such as "have," "can have," "include," or "can include" refer to the existence of the relevant feature (e.g., numerical, functional, behavioral, or component, etc.) and do not exclude the existence of additional features. In the present invention, expressions such as “A or B,” “at least one of A or/and B,” or “one or more of A or/and B” may include all possible combinations of items listed together. For example, “A or B,” “at least one of A and B,” or “at least one of A or B” may refer to cases including (1) at least one A, (2) at least one B, or (3) both at least one A and at least one B. Expr