KR-102962764-B1 - A system for proposing image composition and structure of acrylic goods based on user emotional feedback.

KR102962764B1KR 102962764 B1KR102962764 B1KR 102962764B1KR-102962764-B1

Abstract

The present invention relates to an image-based product manufacturing system, and more specifically, to a user emotional feedback-based acrylic goods image composition and structure proposal system and a method of operation thereof, which designs a three-dimensional structure of a customized product (hereinafter referred to as "goods") using acrylic material based on a two-dimensional digital image provided by a user, and automatically analyzes and evaluates the physical stability and production efficiency of the design to suggest optimal manufacturing conditions. In addition, the present invention belongs to a field of technology that supports non-expert users in easily designing high-quality, stable goods by integrating computer graphics, 3D modeling, mechanical engineering simulation, and artificial intelligence technologies. Specifically, the present invention includes a field of technology that organically integrates image processing technology for extracting outline data from a 2D image, CAD technology for generating a 3D structure including a base and a connecting part based on the extracted data, CAE (Computer-Aided Engineering) technology for calculating the center of gravity and support area of the generated 3D model and pre-verifying structural stability by considering external variables such as the temperature and humidity of the production environment, and CAM (Computer-Aided Manufacturing) technology for predicting production efficiency by comprehensively analyzing the path length, complexity, and material waste of the laser cutting process.

Inventors

고희연
여영은
김세영
이유경
이선주
이지수
김소영
이예빈
박정빈
고상윤

Assignees

주식회사 디커버

Dates

Publication Date: 20260508
Application Date: 20250811
Priority Date: 20250806

Claims (2)

An image processing module (100) that receives an original digital image from a user terminal and generates outline data and an image for printing; A structural design module (200) that designs a three-dimensional structure of acrylic goods based on the above outline data and user input; and A system comprising an integrated control unit (600) that controls the data flow and operation of the image processing module and the structural design module, The above integrated control unit (600) is, Receive user emotional feedback containing 'cute' or 'happy' emotional keywords from a user terminal, and Based on the received sentiment keywords above, (a) Correcting the printable image by adjusting the saturation of the printable image, automatically generating a background image suitable for the printable image, or recommending and combining decorative elements, and (b) A user sentiment feedback-based acrylic goods image composition and structure proposal system characterized by controlling the structure design module (200) to propose designing the three-dimensional structure to include a specific shape of base, such as a ‘cloud shape’ or ‘heart shape’, that is pre-matched with the sentiment keyword.
In paragraph 1, The above system is, It further includes a learning module (400) that collects data on the emotional keyword selections of users that occur during system operation, and data on the printable image and the three-dimensional structure that are finally confirmed accordingly, and updates the recommendation priority for a specific emotional keyword based on the collected data. The above integrated control unit (600) is, A user sentiment feedback-based acrylic goods image composition and structure proposal system characterized by presenting background images or pedestal shapes provided to subsequent users in order of priority starting from items with high recommendation priority, according to the recommendation priority updated by the learning module (400).

Description

A system for proposing image composition and structure of acrylic goods based on user emotional feedback. The present invention relates to an image-based product manufacturing system, and more specifically, to a user emotional feedback-based acrylic goods image composition and structure proposal system and a method of operation thereof, which designs a three-dimensional structure of a customized product (hereinafter referred to as "goods") using acrylic material based on a two-dimensional digital image provided by a user, and automatically analyzes and evaluates the physical stability and production efficiency of the design to suggest optimal manufacturing conditions. In addition, the present invention belongs to a field of technology that supports non-expert users in easily designing high-quality, stable goods by integrating computer graphics, 3D modeling, mechanical engineering simulation, and artificial intelligence technologies. Specifically, the present invention includes a field of technology that organically integrates image processing technology for extracting outline data from a 2D image, CAD technology for generating a 3D structure including a base and a connecting part based on the extracted data, CAE (Computer-Aided Engineering) technology for calculating the center of gravity and support area of the generated 3D model and pre-verifying structural stability by considering external variables such as the temperature and humidity of the production environment, and CAM (Computer-Aided Manufacturing) technology for predicting production efficiency by comprehensively analyzing the path length, complexity, and material waste of the laser cutting process. With the recent surge in consumer demand for personalized and customized products, the market for producing one-of-a-kind goods—so-called "Goods"—using digital images such as favorite characters, idols, or hand-drawn pictures is growing rapidly. In particular, acrylic material is widely used to produce various forms of Goods, such as acrylic stands, keyrings, and figures, as it is easy to process, transparent, and offers excellent print quality. Most conventional image-based merchandise production services were limited to a simple method where a user uploaded an image, and the service provider cut acrylic along the outline of the image and printed the image on the surface. This method had several fundamental problems. First, there was a problem where users' design freedom was restricted, or conversely, excessive freedom resulted in products that were physically impossible to manufacture. For example, users desired designs with long, slender shapes or complex forms, but there was a complete lack of pre-verification procedures to determine whether these designs could stand stably or withstand minor impacts when produced as actual acrylic stands. Consequently, quality issues frequently occurred after production, such as products easily tipping over or specific parts breaking, leading to customer dissatisfaction and increased remanufacturing costs. Second, there was a problem of wasting unnecessary costs and time due to a lack of consideration for production efficiency. The time required for laser cutting and the amount of discarded acrylic material vary significantly depending on the design of the goods. However, in conventional technology, there was no way to quantitatively determine the production difficulty or economic feasibility of a design until the user finalized the design. As a result, users may inadvertently choose designs that take a very long time to produce and waste a lot of material, leading to problems such as decreased productivity and increased production costs. Third, it was difficult for general users, who are non-experts, to recognize and avoid these problems in advance. While professional knowledge of mechanical engineering, mechanics of materials, and manufacturing processes is required to judge structural stability or production efficiency, most consumers of goods are ordinary people without such background knowledge. Therefore, without the intervention of experts, they were bound to go through trial and error, which acted as an obstacle to the popularization of customized goods production services. To address these issues, some systems provided basic analysis functions, such as calculating the center of gravity of 3D models; however, this had limitations in that it failed to consider the fact that acrylic materials can undergo subtle deformation depending on actual production environments, such as temperature or humidity. Furthermore, the method of simply predicting processing time based on the total length of the cutting path still suffered from poor prediction accuracy because it failed to reflect the acceleration and deceleration times of the laser head according to the complexity of the path. Therefore, there is an urgent need for the development of an intelligent system that supports non-experts in easily and safely producing