System and method for generating patterns using AI and integrating multiple food material extrusion, 3D printing, and laser applications

Abstract

The invention provides a method for generating a pattern or an image on a cake by using an AI model, and the method at least comprises the following steps: providing a UI module for a user to input keywords and descriptions; generating an image of a black and white vector according to the input content by using an AI-based image module; processing the 2D image into a digital instruction through an image converter module; sending the digital instruction to a laser patterning module; and applying a pattern to the biscuit surface using a laser patterning module.

Description

Technical Field

[0001] The present invention generally relates to an artificial intelligence (AI) model for generating customized patterns on manufactured food products; in particular, a system and method for using AI to generate patterns and integrate multiple food material extrusion, 3D printing and laser applications. Background Art

[0002] Under the guidance of automation technology, some traditional handmade food industries have begun to turn to the trend of fully machine-made desserts. Among these traditional handmade foods, biscuits and moon cakes have the potential for automated production because they require additional decorations or patterns in addition to the food itself.

[0003] For biscuits, existing technologies in the field of biscuit decoration mainly revolve around manual techniques that have been passed down through generations. These traditional methods require skilled craftsmen to use tools such as piping bags, brushes and templates to create patterns on biscuits. However, these technologies have some limitations that hinder overall efficiency and design diversity.

[0004] Firstly, manual techniques are time-consuming and laborious. Secondly, the range of designs available is often limited to traditional methods. Artisans may have a range of patterns that they can create, but these are often predetermined or repetitive, resulting in a lack of uniqueness and personalization. Customers seeking custom designs or specific themes may find it difficult to meet their goals using manual techniques alone. In addition to traditional manual techniques, preset pattern scanning machines for cookie decoration are also available on the market. These machines utilize mechanical systems to automate the process of decorating cookies with predetermined patterns or images. Instead of manually spraying or painting on each cookie, these machines can engrave the desired design onto the surface of the cookie. In addition, a common method used in some of these machines is to use ink as an additive to create the desired pattern. Such machines are equipped with an inkjet system that is able to deposit edible ink onto the cookie to form the desired design. While this method provides automation and precise pattern replication, it also has some disadvantages. A significant disadvantage of using ink as an additive is the possible impact on taste and texture. Ink may change the taste and mouthfeel of the cookie, especially if the ink has a strong or artificial taste. This may especially reduce the overall quality of the cookie and their experience with the cookie for those who prefer more traditional flavors or natural tastes.

[0005] Another major drawback of preset pattern scanning machines is the lack of customization. These machines often have a limited or predetermined selection of patterns or images for users to choose from. While this may be sufficient for some basic designs, it severely limits the creative potential and uniqueness of the decorated cookies. Customers seeking personalized or complex designs may find themselves limited by these limited options. Additionally, the preset patterns on these machines are often fixed and cannot be easily modified or customized by the user. This limits the flexibility and adaptability of the machine to cater to personal preferences or specific themes. As a result, the range of designs that can be achieved with these machines remains limited and repetitive.

[0006] Furthermore, in the prior art, there is a lack of user-friendly methods that reduce the need for manual drawing or design skills. Using conventional techniques and preset pattern scanning machines, users typically must rely on their own artistic abilities or pre-existing patterns to create designs on cookies.

[0007] Similarly, the traditional mooncake making process involves many labor-intensive steps. First, the dough and filling ingredients are prepared separately. The dough is usually made of flour, water and other additives, while the fillings can vary according to regional preferences, but usually include ingredients such as lotus paste, red bean paste or salted egg yolk. The dough is then wrapped around the fillings to form a ball-shaped pastry. The pastry ball is then placed into a mold, usually made of wood or plastic, to achieve the desired shape and appearance. The mold is pressed hard to imprint the pattern on the surface of the mooncake. After that, the formed mooncake is placed in an oven and baked until it turns golden brown. This traditional mooncake production method has limitations in terms of consistency and customization. Hand-molding each mooncake requires a certain amount of skilled labor and is susceptible to shape and pattern variations. In addition, the available patterns are limited to the designs provided by the mold, which limits the creativity and personalization options of mooncake producers.

[0008] When discussing 3D food printing (including mooncake printing), there are specific challenges related to the 3D design process of food and the use of multiple ingredients. First, in terms of preparation, 3D printed food usually requires the use of computer 3D modeling technology, which may become a personal obstacle for some users to create customized food shapes and appearances. The second important issue is the printability of different materials with different properties. Each ingredient may have different viscosities, flow properties, and temperature requirements, making it difficult to extrude consistently through a single printing nozzle. Although it is possible to switch between syringes or printing nozzles to accommodate various ingredients, this is time-consuming and inefficient. This will also interrupt the printing workflow and extend the overall production time, and may further increase the risk of environmental contamination of food. Although dual-material printing technology is available on the market, it is generally limited to printing with two materials, and this method is not sufficient when multiple ingredients must be embedded in a single food.

[0009] These limitations of the computerized food design process and nozzle switching pose challenges in achieving precise printing control for mooncakes with multiple ingredients. Existing methods cannot provide efficient and smooth solutions to print complex patterns and designs while incorporating various ingredients simultaneously.

[0010] Based on the above situation, how to combine traditional handmade food with existing technology has become a major challenge. Summary of the invention

[0011] An object of the present invention is to provide systems and methods to address the above-mentioned shortcomings and unmet needs of the prior art.

[0012] One of the solutions provided by this invention is to address the limitations of traditional mooncake production by introducing artificial intelligence (AI)-generated extrusion patterns for enhanced mooncake 3D printing. The AI ​​algorithm is able to generate unique and customizable designs, providing mass customization capabilities for mooncakes. Individual users can create personalized food shapes and appearances by simplifying the creation process and reducing the technical expertise required. This customization goes beyond aesthetic limitations because 3D food printing technology can accurately calculate the dosage and dose of nutrients, fiber and even traditional Chinese herbal ingredients.

[0013] The present invention incorporates AI to simplify the creation process and reduce the technical expertise required. In the present invention, by utilizing Python-based software, a well-trained AI text-to-image model or AI image-to-image model can be implemented, allowing users to enter positive and negative keywords to define the desired aesthetics and features of food shapes. These keywords serve as criteria for the AI ​​algorithm to generate black and white vector images, and the generated images can be directly converted into G-code files and used for laser patterning, or further converted into three-dimensional patterns suitable for 3D printing extrusion.

[0014] The resulting 2D pattern can be further processed to determine the desired volume at millimeter resolution, which is then sliced ​​into G-code instructions for 3D printing extrusion. G-code is a standard programming language used in 3D printing that defines the specific movements and actions of the printer, including the extrusion path and the layering of printed materials. Accurately generating G-code is important for achieving accurate and consistent 3D food printing.

[0015] In addition, the present invention combines a real-time four-nozzle material switching mode with independent air pressure valves, allowing for mixing and dividing different layer structures of different food ingredients with unique viscosities and rheological properties in a generated extrusion pattern. This enables the production of customized mooncakes with different flavors and textures that are visually appealing, thus overcoming the limitations of current 3D printing technology.

[0016] The proposed invention revolutionizes mooncake production by providing consistency, mass customization, and the ability to embed multiple ingredients. This allows individuals to explore new flavors, designs, and nutritional ingredients while promoting healthier eating habits. In addition, the combination of artificial intelligence, 3D printing, and food laser patterning technology can have broader applications in the culinary world.

[0017] One of the solutions provided by this invention is to improve the traditional mooncake production process by combining artificial intelligence, advanced 3D printing technology and a focus on personalized nutrition. It thus simplifies the workflow, enhances customization options and allows the creation of complex mooncake designs with enhanced ingredients.

[0018] Furthermore, by combining a multi-nozzle mechanism and customized air pressure regulation, the present invention is able to create complex mooncake designs with enhanced ingredients while ensuring precise control and consistency throughout the printing process. This advancement in real-time printing technology helps to simplify mooncake production, providing a more efficient and effective method than traditional methods. In the proposed invention, combining a multi-nozzle mechanism and customized air pressure regulation can have a variety of advantages, including higher printing resolution, enhanced printing speed, flow rate control, and better consistency.

[0019] Another solution provided by the present invention is a method and system for generating unique and aesthetically pleasing patterns using artificial intelligence algorithms, which are specifically designed for scanning commercial cookies to achieve laser-induced interaction with caramel. In the present invention, a novel method and system are introduced for generating unique and visually attractive patterns using artificial intelligence algorithms, which are specifically designed for scanning commercial cookies.

[0020] Traditionally, cookie decoration involves time-consuming manual techniques that limit the variety of available designs. Creating complex patterns on cookies requires skilled craftsmen, and large batches of cookies may also lack consistency. To address these challenges, the present invention utilizes artificial intelligence algorithms and advanced scanning technology to produce fully customizable generative 2D patterns on cookies through a unique method using lasers. By integrating artificial intelligence algorithms into the scanning process, a variety of artistic and personalized designs can be generated, enhancing the visual appeal of the cookies. Unlike traditional methods that provide limited or preset patterns, the artificial intelligence scanning system proposed in the present invention generates completely different patterns for each cookie. This mass customization capability allows for an unlimited array of designs.

[0021] In the present invention, the method provided combines state-of-the-art laser scanning technology to achieve consistent and complex patterns. The high-precision laser system carefully etches the pattern into each biscuit, surpassing the capabilities of traditional manual methods and avoiding the use of additional ink as an additive. This ensures that the engraved design is accurately replicated, resulting in impeccable and visually appealing biscuits with enhanced flavor, texture and browning effects.

[0022] According to a first aspect of the present invention, a system is provided for generating a pattern or image on the surface of a moon cake using an artificial intelligence (AI) model. The system includes a user interface (UI) module, an AI-based image module, an image converter module, a 3D printer, and a laser patterning module. The UI module, as an input component of the system, is configured to facilitate user interaction and input content to generate an image, and allows the user to enter keywords and descriptions to define the image of the moon cake. The AI-based image module is connected to the UI module and configured to generate at least one black and white vector image according to the user input content provided by the UI module. The image converter module is connected to the UI module and the AI-based image module, and is configured to process the two-dimensional pattern or image generated by the AI-based image module to implement the extrusion process of 3D printing, and determine the required volume with a millimeter resolution, so as to accurately convert the two-dimensional pattern or image into the three-dimensional structure of the moon cake. The 3D printer is connected to the image converter module, receives digital instructions from the image converter module, and performs 3D printing, wherein the 3D printer is configured to form the outer layer, inner filling, and top layer of the moon cake using different ingredients. The laser patterning module is connected to the image converter module and receives the digital instructions from the image converter module to perform laser patterning, wherein the laser patterning module is configured to emit a laser beam to the surface of the top layer of the mooncake to create an image or pattern on the surface of the top layer of the mooncake, which involves selectively heating and browning the surface according to the two-dimensional pattern or image generated by the AI-based image module in response to the user input content.

[0023] According to a second aspect of the present invention, a system is provided for generating a pattern or image on a cookie surface using an artificial intelligence (AI) model, the system comprising a user interface (UI) module, an AI-based image module, an image converter module, and a laser patterning module. The UI module, as an input component of the system, is configured to facilitate user interaction and input content to generate an image, and allows the user to enter keywords and descriptions to define the image of the cookie. The AI-based image module is connected to the UI module and configured to generate at least one black and white vector image according to the user input content provided by the UI module. The image converter module is connected to the UI module and the AI-based image module and configured to process the two-dimensional pattern or image generated by the AI-based image module to format the two-dimensional pattern or image into a scalable vector graphics (SVG) file. The laser patterning module is connected to the image converter module and receives digital instructions from the image converter module to perform laser patterning, wherein the laser patterning module is configured to engrave a pattern or image design onto the surface of the cookie according to the path defined in the SVG file fed by the image converter module, thereby causing the surface of the cookie to be locally caramelized to increase the depth and contrast of the surface of the cookie.

[0024] According to a third aspect of the present invention, a method is provided for generating a pattern or image on a pastry surface using an artificial intelligence (AI) model. The method comprises the following steps: providing a user interface (UI) module as a user input component; allowing a user to input keywords and descriptions through the UI module to define an image of a pastry; facilitating user interaction and input content through the UI module to generate an image; generating at least one black and white vector image through an AI-based image module according to the user input content provided by the UI module; processing the two-dimensional pattern or image generated by the AI-based image module through an image converter module to generate at least a digital instruction for a laser patterning module; receiving the digital instruction from the image converter module through the laser patterning module to perform laser patterning; and emitting a laser beam to the surface of the pastry through the laser patterning module, which involves creating an image or pattern on the surface of the pastry according to the two-dimensional pattern or image generated by the AI-based image module in response to the user input content.

[0025] Through the above configuration, it is possible to use AI algorithms to generate unique and beautiful patterns to customize and strengthen the extrusion process and 3D printing process used on mooncakes. The AI-generated patterns enhance the visual appeal of personalized mooncakes and contribute to the structural reinforcement and nutritional improvement of pastries. The proposed solution also includes a multi-nozzle mechanism combined with customized air pressure regulation. The proposed solution is able to create complex mooncake designs with enhanced ingredients while ensuring precise control and consistency throughout the printing process. This optimization method using real-time printing technology helps to simplify mooncake production and provide a more efficient and effective method than traditional methods. The proposed solution combines a multi-nozzle mechanism with customized air pressure regulation, which has multiple advantages, including higher printing resolution, enhanced printing speed, flow control and better consistency. In addition, the novel technical solution proposed in the present disclosure combines user-friendly functions in the user interface, which solves the problem of user pattern design. The system does not require users to manually draw or design patterns by themselves, but allows users to enter keywords or images as references. The AI ​​algorithm integrated into the system then analyzes these inputs and generates appropriate file formats for transfer to biscuits. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Embodiments of the present invention will be described in more detail with reference to the accompanying drawings, in which:

[0027] Figure 1 A block diagram of a system is shown according to some embodiments of the present invention, wherein the system utilizes an AI algorithm to generate unique and aesthetically pleasing patterns and is specifically designed for multi-material extrusion processes and 3D printing processes on reinforced mooncakes;

[0028] Figure 2 A flowchart of a 3D printing mooncake program method is shown according to some embodiments of the present invention;

[0029] Figure 3 A flowchart showing steps S10, S20 and S30 of a 3D printing mooncake program method according to some embodiments of the present invention;

[0030] Figure 4A A schematic diagram of a 3D printer with multi-nozzle material extrusion is shown according to some embodiments of the present invention;

[0031] Figure 4B A schematic diagram of a multi-nozzle head system for extruding up to four materials from an extrusion syringe is shown according to some embodiments of the present invention;

[0032] Figure 5 According to some embodiments of the present invention, a schematic diagram of a 3D printed mooncake is shown, wherein the top layer of the mooncake is laser patterned with an AI-generated image by a laser patterning module;

[0033] Figure 6 An exemplary schematic diagram of a 3D printed mooncake is shown, in which an AI-generated image pattern is extruded on the top layer;

[0034] Figure 7 A framework diagram of a system is shown according to some embodiments of the present invention, wherein the system uses an AI algorithm to generate a pattern or image on a cookie, and achieves this through a laser-induced caramel reaction;

[0035] Figure 8 A flowchart of a method for AI generating an image process is shown according to some embodiments of the present invention;

[0036] Fig. 9 Some embodiments of the present invention show an example diagram of AI-generated images using Python software based on input keywords;

[0037] Fig.10 A flow chart showing a method for caramelization effect according to some embodiments of the present invention, including a process for making and using a laser patterning module;

[0038] Fig.11 A schematic diagram showing the laser patterning process of a cookie with an AI-generated image according to some embodiments of the present invention;

[0039] Fig.12 A block diagram illustrating the process of laser-induced caramelization of sugars in cookies according to some embodiments of the present invention; and

[0040] Fig.13 An example image of a cookie is shown according to some embodiments of the present invention, where different powers are scanned on the cookie to form an AI generated image pattern. DETAILED DESCRIPTION

[0041] In the following description, systems and methods for generating patterns using AI and integrating multiple food material extrusion, 3D printing, laser applications, etc. will be described in the form of preferred examples. Those skilled in the art will understand that modifications, including additions and / or substitutions, may be made without departing from the scope and spirit of the invention. Specific details may be omitted so as not to obscure the invention; however, the present disclosure is written to enable those skilled in the art to practice the teachings herein without undue experimentation.

[0042] In this disclosure, the term "connection" covers both wired and wireless communication connections to facilitate the transmission or exchange of data or signals. For example, if component A is described as being connected to component B, it means that component A can communicate with component B to achieve the exchange of data or signals.

[0043] The present disclosure relates to a method for implementing a customized pattern on a processed food and a system for operating the method. For ease of understanding, the following content is divided into two parts. The first part applies the technical solution provided by the present invention to moon cakes, and the second part applies the technical solution provided by the present invention to biscuits.

[0044] Part I: A method and system for generating unique and beautiful patterns using AI algorithms, designed for multi-material extrusion and 3D printing of mooncakes.

[0045] The present invention provides a technical solution that uses a multi-nozzle air pressure driven extrusion system to perform an extrusion process and 3D print AI generated patterns to enhance the design of mooncakes. Mooncakes are traditional Chinese pastries eaten during the Mid-Autumn Festival and are famous for their complex patterns printed on the surface of the pastry. The present invention introduces a new method that uses AI algorithms and multi-material extrusion methods to generate unique and beautiful patterns. The generated patterns are specifically designed to enhance the extrusion and 3D printing designs on mooncakes. The AI-generated patterns can enhance the visual appeal of mooncakes and can improve the nutritional fortification of pastries.

[0046] Consistency and mass customization are two major challenges in traditional food production, including mooncake making. In the traditional mooncake making process, manpower is usually required to use molds to shape the pastries into specific shapes. This process is very time-consuming and limits the diversity of available patterns, designs and recipes.

[0047] Another challenge in traditional mooncake production is meeting customized nutritional needs. Traditional mooncakes are usually made with standard ingredients and recipes, with limited control over the nutritional content of the pastry. This poses a challenge for individuals with special dietary needs or health issues. Mooncakes are often associated with high-sugar, high-fat and high-calorie fillings, leading to health risks such as obesity, diabetes and cardiovascular disease. Due to these health issues and the need to maintain a balanced diet, the average adult's daily mooncake consumption is usually limited.

[0048] On the other hand, 3D food printing, such as the mooncake extrusion and 3D printing methods proposed in the present disclosure, has the advantages of consistency and mass customization. By using 3D food printing technology, mooncake production can be more automated and controllable, and ensure that the shape, nutritional content, ingredient composition, size and pattern of each mooncake are consistent. The use of 3D printing technology can also eliminate the need for manual, labor-intensive processes such as molding, thereby reducing production time and costs. Therefore, mooncakes can be produced more efficiently and in larger batches, while meeting the needs of large-scale production, while also maintaining consistency in shape and appearance.

[0049] Although 3D food printing can be a solution for creating customized foods with nutritional fortification, 3D printed food preparation usually requires technical skills in computer 3D modeling, which may become a barrier for individuals who want to create customized food shapes and appearances. In addition, 3D food printing involves multiple stages, including recipe creation, 3D modeling, slicing the model into layers, and generating corresponding G-code instructions for the printer. Each stage usually relies on different software systems, which makes integration and smooth customization challenging and time-consuming.

[0050] In addition, due to the limitations of current 3D printing technology, printing foods such as mooncakes embedded with multiple ingredients poses significant challenges. One of the main issues is the printability of different materials with different properties. Each ingredient may have different viscosities, flow properties, and temperature requirements, making it difficult to extrude them all consistently through a single printing nozzle. Switching between syringes or printing nozzles to accommodate various ingredients is time-consuming and inefficient. In addition to interrupting the printing workflow, this will also extend the overall production time, further increasing the risk of environmental contamination of food. Although dual-material printing technology is available on the market, it is generally limited to printing with two materials. When multiple ingredients must be embedded in a single food, this method cannot be produced smoothly.

[0051] In view of the above problems, the proposed method utilizes AI-generated patterns in the 3D food printing process for extrusion and laser patterning applications to achieve a variety of customizable mooncake designs. The AI ​​algorithm can generate complex and unique patterns that can be applied to the surface of the mooncake during the printing process. This method allows for large-scale customization, as each mooncake can have a unique customized design to meet personal preferences or meet specific requirements. In the present invention, AI technology is combined to simplify the creation process and reduce basic technical requirements. By utilizing Python-based software, and the implemented well-trained AI text-to-image model or AI image-to-image model, the technical solution of the present invention enables users to enter positive and negative keywords to define the shape aesthetics and characteristics of food. The input keywords can be used as a standard for the AI ​​algorithm to generate vector images, which can then be converted into extrusion patterns suitable for 3D printing.

[0052] Figure 1 A block diagram of a system is shown according to some embodiments of the present invention, wherein the system utilizes AI algorithms to generate unique and aesthetically pleasing patterns and is specifically designed for multi-material extrusion and 3D printing on reinforced mooncakes. The system 100 includes a user interface (UI) module 102, an AI-based image module 110, an image converter module 120, a 3D printer 130, and a laser patterning module 140.

[0053] The UI module 102 can be used as an entry component of the system 100 to facilitate user interaction and input during the mooncake design process. The UI module 102 can provide a dedicated input screen (e.g., a virtual screen) in which the user can enter keywords and descriptions (i.e., prompts) that define the aesthetic and feature basis required for the mooncake design. These input contents serve as the criteria for the AI ​​algorithm to guide the algorithm to generate customized patterns or images.

[0054] The UI module 102 is connected to the AI-based image module 110, and the AI-based image module 110 can generate black and white vector-style images based on the user's input content. In one embodiment, the AI-based image module 110 is implemented in a Python-based engine. After the user inputs the prompt, the user can preview the AI ​​image generated by the AI-based image module 110, so as to make interactive adjustments and real-time feedback to fine-tune its design. The AI-based image module 110 can provide corresponding customized designs according to user requirements. For example, the user can save and edit his or her own design process in the AI-based image module 110, providing flexibility and convenience. Once the user is satisfied with the previewed design, the user can confirm his or her choice in the AI-based image module 110 and send the final design to the next stage for further processing.

[0055] Therefore, the UI module 102 and the AI-based image module 110 can be combined with each other, which simplifies the design process and enhances creativity and customization, allowing users to easily create unique and personalized mooncakes.

[0056] The image converter module 120 connects the UI module 102 and the AI-based image module 110. The image converter module 120 serves as an intermediary component between the user end and the 3D printer end, which can facilitate the user to convert the confirmed two-dimensional pattern or image into a format that the 3D printer can perform 3D printing. The image converter module 120 processes the two-dimensional pattern or image generated by the AI-based image module 110 to enable 3D printing extrusion, and also determines the required volume with millimeter-level resolution, thereby accurately converting the pattern into a 3D structure. In addition, the image converter module 120 converts the two-dimensional pattern or image into G-code instructions, thereby defining the specific movements and actions of the 3D printer, including the extrusion path of the material and how to perform layered production of the printed material.

[0057] The 3D printer 130 is connected to the image converter module 120 and receives digital instructions from it for 3D printing. The 3D printer 130 may be equipped with a multi-nozzle material extrusion system and a multi-nozzle head system that can extrude up to four materials from an extrusion syringe. The 3D printer 130 is configured to handle different food ingredients with unique viscosities and rheological properties to select the ingredients of the outer layer and the inner filling, which includes fortified nutrients. During the mooncake making process, the 3D printer 130 first extrude the outer layer of the mooncake. Then, the 3D printer 130 uses a specific syringe nozzle or combination to deposit the inner filling, which can be enriched with nutrients to increase the nutritional value. Finally, the 3D printer 130 uses the AI-generated pattern or image created by the AI-based image module 110 to extrude a top layer on the outer layer, which enhances the visual appeal and combines the unique design elements generated by the AI ​​algorithm.

[0058] In some embodiments, the image converter module 120 also includes a database for storing the dimensions of the top layer, outer layer, and inner filling of the mooncake. The database is used in conjunction with the digital instructions from the image converter module 120 to facilitate the generation of various parameters required for mooncake production. By integrating these dimensions, the image converter module 120 can accurately produce customized patterns or images on the mooncake and the structure of the mooncake, ensuring that each component is manufactured accurately and consistently.

[0059] The laser patterning module 140 is connected to the image converter module 120 and receives digital instructions from the image converter module 120 for laser patterning. The laser patterning module 140 enhances the mooncake design produced by the 3D printer 130 (e.g., enhances its appearance) by applying the complex pattern generated from the UI module 102. After the top layer of the mooncake is extruded, the laser patterning module 140 can use a laser to create further detailed patterns on the surface of the mooncake. In one embodiment, this step is optional, which involves selectively heating and browning the surface of the mooncake according to the AI-generated design, thereby enhancing the visual appeal and adding a unique aesthetic. By replicating the user-defined pattern, the laser patterning module 140 can further personalize and improve the final appearance of the mooncake.

[0060] Therefore, with the above configuration, the final product will be a personalized mooncake with a multi-layer structure. The mooncake includes an outer layer and a nutritious inner filling, with the top layer displaying a complex AI-generated pattern. Optionally, the mooncake can also have a laser-patterned browning effect, adding additional visual appeal.

[0061] Further details are as follows.

[0062] Figure 2A method flow chart of a 3D printing mooncake procedure is shown according to some embodiments of the present invention. The proposed method uses an AI-generated image pattern to extrude and create a 3D printed mooncake, which sequentially includes steps S10, S20, S30, S40, S50, S60, S70 and S80.

[0063] Step S10 is to provide user input. At this stage, the user provides input through the UI module 102 to define the desired aesthetics and features of the mooncake design through the AI-based image module 110. The keywords entered by the user serve as criteria for the AI ​​algorithm. Step S20 is to execute the AI ​​algorithm. The AI-based image module 110 can generate an image of a black and white vector based on the user's input. Step S30 is to perform image processing from 2D to 3D. The generated two-dimensional pattern or image is further processed to achieve 3D printing extrusion through the image converter module 120. At this stage, the required volume can be determined with millimeter resolution.

[0064] Figure 3 A flowchart of steps S10, S20 and S30 of a 3D printing mooncake program method is shown according to some embodiments of the present invention. Figure 3 The diagram shows the details of steps S10-S30, which are taken as an example of a flowchart of 3D printing moon cakes, and the moon cakes have extruded patterns of AI-generated images. These common stages involve steps S110, S120, S130, S140 and S150.

[0065] In step S110, the user provides input through the UI module 102. The input includes positive prompts and keywords and negative keywords. Figure 3 In the illustrated example, positive prompts and keywords include: cute puppy sticking out tongue, vector logo style, line art, graphic design, simple, high contrast, black and white; negative keywords include: background, texture, gradient gray. The AI-based image module 110 may also include an embedding layer, which is used to process a text encoder for keywords and to convert these keywords into vector representations suitable for generating patterns or images. Therefore, in steps S120 and S130 of making 3D printed mooncakes using extruded patterns of AI-generated images, the AI-based image module 110 first processes the user prompt by filtering out negative words and generating embeddings, and then creates a vector image as shown in step S140. In step S150, the processed image is then sent to the image converter module 120, which converts the 2D pattern into a 3D format through the actual extrusion path. This conversion enables the 3D printer 130 to accurately reproduce the AI-generated design in the final mooncake, incorporating the customized detailed pattern into the production process.

[0066] Refer back to Figure 2, step S40 is to generate G-code for 3D printing. Through the image converter module 120, the 2D pattern can be converted into G-code instructions, which can define the specific movements and actions of the 3D printer 130, including the extrusion path and layering process of the printing material. Step S50 is to prepare the material. For example, different food ingredients with unique viscosity and rheological properties are prepared for printing. Next is to select the ingredients of the outer layer and the inner filling, including fortified nutrients. Step S60 is to make the mooncake, including the outer layer, the inner layer and the top layer. In the stage of making the outer layer, the 3D printer 130 can start the production process by extruding the outer layer of the mooncake. In the stage of making the inner layer, the 3D printer 130 can use a specific syringe nozzle or nozzle combination to deposit the inner filling of the mooncake. The inner filling contains fortified nutrients to provide additional nutritional value to the mooncake. In the stage of making the top layer, the 3D printer 130 can complete the production of the mooncake by extruding the top layer on the outer layer using the AI-generated pattern. The outer layer increases the overall visual appeal of the mooncake and combines specific design elements generated by the AI ​​algorithm as described above.

[0067] In this regard, Figure 4A According to some embodiments of the present invention, a 3D printer 130 with multiple nozzles for material extrusion is shown, and Figure 4B According to some embodiments of the present invention, a multi-nozzle head system 132 is shown, which is used to extrude up to four materials from an extrusion syringe. The 3D printer 130 is equipped with four material storage tanks 134, each of which is configured to store different materials or ingredients. The materials for the mooncakes can be transported from the material storage tanks 134 to the multi-nozzle head system 132 through a dedicated pipeline 135. The multi-nozzle head system 132 is connected to four nozzle heads, each of which is capable of extruding different materials. The multi-nozzle head system 132 is used in conjunction with a rotating platform 136 to apply various materials or ingredients to the target mooncake, thereby being able to create complex and multi-level designs with a high degree of customization.

[0068] Back to Figure 2 , step S70 is laser patterning. After the top layer of the mooncake is extruded, an optional step involves using a laser to produce a browning effect on the Al pattern profile. The laser selectively heats and browns the surface of the top layer of the mooncake to achieve enhanced design aesthetics. For example, Figure 5 According to some embodiments of the present invention, a schematic diagram of a 3D printed moon cake is shown, wherein an AI-generated image is laser patterned on a top layer 202 through a laser patterning module 140 .

[0069] Step S70 is to obtain the final product, such as Figure 6 , which shows an example schematic diagram of a 3D printed mooncake 200 with an extruded pattern of an AI-generated image on a top layer 202. Specifically, the 3D printed mooncake 200 includes a top layer 202, an inner filling 204, and an outer layer 206.

[0070] With respect to the top layer 202, the 3D printer completes the mooncake by extruding the top layer 202 onto the outer layer 206 using a pattern or image generated by the AI. The top layer 202 adds visual appeal to the mooncake 200 and incorporates unique design elements generated by the AI ​​algorithm. With respect to the filling 204, the 3D printer uses a specific syringe nozzle or nozzle combination to deposit the filling 204 into the mooncake 200. The filling 204 contains fortified nutrients that provide additional nutritional value to the mooncake. With respect to the outer layer 206, at the beginning of the manufacturing process, the 3D printer may first extrude the outer layer 206 of the mooncake 200.

[0071] In one embodiment, as a practical example, moon cakes can be made according to the following recipe:

[0072] The ingredients of the outer layer include: invert sugar syrup, vegetable oil, lye water, water and soft wheat flour. The nutritional fortified fillings include: salted duck egg yolk, whey powder, xanthan gum, water, vegetable oil and turmeric powder. The detailed preparation and post-processing procedures of the 3D printing process include: 1) preheating the heated bed of the 3D printer to 100°C; 2) mixing invert sugar syrup, lye water, water and vegetable oil in a large mixing bowl; 3) adding soft wheat flour and turmeric powder to the above mixture and stirring all the ingredients for 5 minutes; 4) covering with plastic wrap and letting it stand for 30 minutes; 5) loading the mixed samples into syringes respectively; 6) printing the mooncakes at 100°C using three different 3D modeling files (i.e., outer layer, inner filling and top layer) according to the design procedure; 7) taking out the printed samples and baking them in an oven at 175°C for 10 minutes.

[0073] In this way, the final product results in a personalized mooncake with an outer layer, a nutrient-rich filling, an Al-generated extruded pattern on the top layer, and optionally also a laser-patterned browning effect. Compared with conventional mooncake production methods, in the present invention, the proposed method can provide enhanced customization, nutritional fortification, and aesthetic appeal.

[0074] As described above, a method and system for generating unique patterns using AI algorithms are provided, and the generated patterns are specifically designed for multi-material extrusion and 3D printing of enhanced mooncake designs. The present invention introduces an innovative full-process real-time four-nozzle material switching mode. The provided mode allows the mixing and division of layers of mooncakes with different food ingredients according to the generated extrusion pattern. By dynamically switching between nozzles, the printer can smoothly print different food recipes while following the specified pattern, creating food shapes with different flavors and textures, providing good visual appeal and customization.

[0075] The proposed 3D food printing solution solves the technical barriers, time-consuming processes and limited customization options associated with traditional mooncake production. By integrating AI and advanced 3D printing technology, the way mooncakes are made has been revolutionized and provides many advantages and opportunities. The solution proposed by the present invention eliminates the need for various technical skills for computer 3D modeling, making it easy for individual users who want to create unique food shapes and appearances to get started. The AI-guided process thus simplifies recipe creation, 3D modeling, slicing and G-code generation, ultimately streamlining the production workflow.

[0076] In addition, the solution proposed by the present invention solves the challenge of embedding multiple ingredients in a single food product. By implementing a multi-nozzle or multi-extruder system, different materials can be extruded simultaneously, allowing the creation of complex mooncakes with various embedded components. This advancement overcomes the limitations of current technology and provides greater flexibility in ingredient selection and design.

[0077] The solution proposed by the present invention makes mooncake production more efficient, more consistent and customizable. Individual users can unleash their creativity, explore new flavors and designs, and meet personalized nutritional needs. In addition, the 3D food printing technology provided provides the possibility of wider application in the culinary field, which can change the way food is made and consumed.

[0078] Therefore, the solution provided by this invention combines AI, advanced 3D printing technology and a focus on personalized nutrition to completely change the traditional mooncake production process. By simplifying the production process, providing mass customization capabilities and enabling the embedding of multiple ingredients, creativity, high efficiency and high customization levels can be achieved in mooncake production and other fields.

[0079] Part 2: Methods and systems for generating unique and aesthetically pleasing patterns using AI algorithms, and the patterns are specifically designed on commercial cookies to achieve interactions such as laser-induced caramel.

[0080] In this section, the solution provided by the present invention introduces a novel method and system for generating unique and beautiful patterns using AI algorithms, and the patterns are specially designed to be formed by scanning on ordinary cookies.

[0081] Traditionally, cookie decoration involves time-consuming manual techniques, which limits the diversity of available designs. Creating complex patterns on cookies requires skilled craftsmen and lacks consistency across a large number of cookies. To address these challenges, the solution provided by the present invention utilizes AI algorithms and advanced laser scanning technology to produce fully customizable 2D generated patterns on cookies through a unique method using a laser beam. By integrating AI algorithms into the laser scanning process, a wide range of artistic and personalized designs can be provided, enhancing the visual appeal of the cookies. Unlike traditional methods that provide limited or preset patterns, the proposed AI scanning system generates completely different patterns for each cookie. The use of AI algorithms and laser scanning technology both tend to make cookies customizable.

[0082] The method provided by the present invention combines state-of-the-art laser scanning technology to achieve consistent and complex patterns. A high-precision laser system etches the pattern into each biscuit, which exceeds the capabilities of traditional manual methods and also avoids the use of additional ink as an additive. This ensures that the engraved design can be accurately replicated, resulting in visually appealing biscuits with enhanced flavor, texture and browning effects.

[0083] The present invention provides a method and system that utilizes AI algorithms to generate unique and visually appealing patterns, which can be designed specifically for scanning commercial cookies. Such an innovative approach provides a scanning method that is fully customizable and can generate two-dimensional patterns.

[0084] Figure 7 A schematic diagram of a system 300 is shown according to some embodiments of the present invention, wherein the system 300 generates a pattern or image on a cookie using an AI algorithm and achieves this through a laser-induced caramelization reaction. The system 300 has a configuration similar to Figure 1 The system 300 is similar to the system 100 shown in FIG. 1 , except that the 3D printer 130 of the system 100 is omitted. Specifically, the system 300 is used to generate a pattern or image on a biscuit that has been formed. The system 300 includes a UI module 302, an AI-based image module 310, an image converter module 320, and a laser patterning module 330.

[0085] The UI module 302, the AI-based image module 310, and the image converter module 320 can be used together for the AI-generated image generation process. This approach combines AI algorithms to simplify the creation process of customized patterns for cookie decoration. Figure 8 According to some embodiments of the present invention, a flowchart of a method for AI-generated image generation is shown. The method for AI-generated image generation process includes steps S400 and S410 in sequence.

[0086] Step S400 involves AI image generation. As previously mentioned, the user can input keywords or images as references through the UI module 302. Then, the AI-based image module 310 can generate black and white vector images. This step also involves the input generation phase. The user provides positive and negative keywords or uploads reference images to define the aesthetics and feature designs of the desired cookie decorations. In the process of the AI ​​algorithm generating black and white vector images, these input contents serve as generation criteria. In one embodiment, the AI-based image module 310 has a well-trained AI text-to-image or AI image-to-image model (e.g., using a Python-based model) that can analyze the provided keywords or images. Then, the AI ​​algorithm of the AI-based image module 310 generates a two-dimensional pattern based on the input content, ensuring that each pattern is unique and consistent with the user's preferences.

[0087] Step S410 involves formatting a Scalable Vector Graphics (SVG) file. The image converter module 320 then formats the black and white vector style image generated by the AI-based image module 310 into an SVG file. An SVG file is a widely used XML-based file format for describing two-dimensional vector graphics. This type of file allows for precise control over the shape, color, and other visual elements of a design. For example, Fig. 9 Some embodiments of the present invention show an example of an AI generated image using Python software based on input keywords. This step is also called the pattern conversion phase. The generated two-dimensional pattern is converted into a format suitable for scanning onto a cookie. The conversion process ensures that the pattern is optimized for the cookie decoration process, taking into account factors such as resolution and compatibility with scanning technology.

[0088] The method further includes step S420 , which is performed together with the laser patterning module 330 .

[0089] Step S420 involves the manufacturing process and caramelization effect. The laser patterning module 330 follows the path defined in the SVG file fed by the image converter module 320 and carves the received design onto the surface of the cookie. By controlling the energy of the laser patterning module 330, local caramelization of the cookie surface can be induced, thereby increasing the depth and contrast of the cookie surface. This stage can include several steps.

[0090] Fig.10 A flow chart of a method for caramelizing effect is shown according to some embodiments of the present invention, including a process of making and using a laser patterning module. The manufacturing process using the laser patterning module 330 and the method for caramelizing effect sequentially include steps S500, S510, S520, S530, S540 and S550.

[0091] Step S500 involves laser engraving preparation. This step is also called laser scanning pre-operation preparation. Before starting the laser induced caramelization reaction, it is necessary to ensure that the biscuit surface is clean and free of any contaminants. The biscuit is firmly placed on the scanning platform of the laser patterning module 330 to ensure stability during the processing.

[0092] Step S510 involves laser parameter setting. In the laser patterning module 330, specific parameters are set to achieve the desired caramelization effect. Depending on the composition of the cookie and the desired results, parameter details are confirmed, such as laser power, speed, frequency, and pulse duration. During this process, the laser wavelength provided by the laser patterning module 330 is operated to be suitable for efficient energy absorption by the cookie surface. In one embodiment, the laser patterning module 330 may also include a controller for storing parameter settings. The parameter settings stored in the controller can be set before laser patterning and applied to the laser patterning module 330 during laser patterning. The details of parameter optimization include:

[0093] (1): Scanning times: refers to the number of times the laser beam scans the surface of the biscuit. In one embodiment, it is set to 1, indicating one scan.

[0094] (2): Speed ​​(mm / s): refers to the speed at which the laser beam moves on the cookie surface during the engraving process. In one embodiment, a speed of 1000 mm / s is used, which means that the laser beam moves at a speed of 1000 mm per second.

[0095] (3): Power (%): refers to the intensity of the laser beam. In one embodiment, the power is expressed as a percentage, and 10% means that the laser is operating at 10% of its maximum power output.

[0096] (4): Frequency (kHz): refers to the frequency of laser pulses emitted per second. In one embodiment, the frequency of the laser is 30 kHz, which means that the laser emits 30,000 pulses per second.

[0097] (5): Pulse duration: specifies the duration of each laser pulse. In one embodiment, the pulse duration is set to 10 nanoseconds, which means that each laser pulse lasts for 10 billionths of a second.

[0098] (6): Laser On Delay: indicates the delay time after the engraving process is started and before the laser is turned on. In one embodiment, a value of 0 indicates no delay, so the laser turns on immediately.

[0099] (7): Laser Off Delay: represents the delay time after the laser completes engraving and before it turns off. In one embodiment, the delay is 100, which means that after completing the engraving process, the laser remains on for another 100 milliseconds.

[0100] (8): Laser end delay: indicates the delay time after the laser completes each scan and starts the next scan. In one embodiment, a delay of 50 is used, which means there is a 50 millisecond pause between scans.

[0101] (9): Laser polygon delay: refers to the delay time between two consecutive points in the polygon during the laser scanning process. In one embodiment, a delay of 80 is used, which means that there is a pause of 80 milliseconds between points.

[0102] These parameters control the behavior of the laser engraver, determining the speed, power and timing of the laser pulses. By adjusting these parameters, a precise and highly controlled engraving process can be achieved, resulting in complex and visually appealing patterns on the cookie surface.

[0103] Step S520 involves laser scanning. Fig.11 A schematic diagram of the laser patterning process of a cookie 600 with an AI-generated image is shown according to some embodiments of the present invention. Using the laser patterning module 330, the converted pattern can be engraved onto the cookie 600. The laser patterning module 330 provides a laser beam 332 and operates at a wavelength of 1066nm, with a power output set to 10%, a speed of 1000mm / s, a frequency of 30kHz, and a pulse duration of 10 nanoseconds. The laser dots on the surface of the cookie are generated by the laser beam 332 provided by the laser patterning module 330, thereby forming the outline of the desired image (i.e., moving the laser dots and then completing the image outline through the trajectory of the laser dots).

[0104] In one embodiment, the laser patterning module 330 further includes a database, which records the size of the cookies to be processed, so as to ensure that the laser beam does not exceed the size boundary of the cookies during the laser patterning process.

[0105] These optimized settings ensure that the biscuits are scanned while maintaining high resolution. The scanning process is controlled to avoid burning or penetrating too deeply into the biscuits, and a visually appealing and well-defined pattern can be produced. In one embodiment, the laser patterning module 330 provides a laser beam, and the AI ​​tool (e.g., a controller with a model provided in the laser patterning module 330) can control how to generate the scanning pattern to direct it onto the surface of the biscuit to provide precise and localized energy release.

[0106] Step S530 involves heat transfer and a caramelization process. By controlling the energy of the laser beam 332 provided by the laser patterning module 330, the surface of the cookie 600 can be locally caramelized, thereby producing a visually appealing pattern. The caramelization process adds depth and contrast to the cookie design, enhancing its overall appearance. The laser energy of the laser beam 332 provided by the laser patterning module 330 interacts with the surface energy of the cookie, causing it to heat rapidly. The sugars in the cookie 600 can undergo a caramelization process. The high temperature reached by the laser beam 332 can cause the sugar molecules to decompose and undergo a series of complex chemical reactions, thereby forming caramel compounds. Fig.12 A block diagram illustrating the process of laser-induced caramelization of sugars in cookies is shown according to some embodiments of the present invention.

[0107] Step S540 involves pattern formation. During the laser scanning process, the desired pattern or design is created by selectively caramelizing specific areas of the cookie surface. The intensity and duration of the laser exposure determines the depth and darkness of the caramelization. For example, Fig.13 An example image of a cookie is shown according to some embodiments of the present invention, where different powers are scanned on the cookie to form an AI generated image pattern.

[0108] Step S550 involves a cooling and solidification process. The biscuit may be cooled to solidify the caramelized area to ensure that the pattern remains intact.

[0109] By following this workflow, users can easily create custom patterns for cookie decoration without the need for manual drawing or design skills. The AI ​​algorithm generates unique designs based on user input, and the laser scanning process ensures that the engraved cookies can be accurately and efficiently produced in large quantities. Users can transform their ideas into engraved patterns on the cookies, whether it is a personalized message, a specific logo or a themed image. In addition, the adopted workflow can be used for mass production. The optimized speed of the laser scanning process allows for efficient mass production of engraved cookies. The system provided can handle a large number of cookies while maintaining consistent scanning quality and speed.

[0110] Furthermore, the provided method utilizes the cookie's own materials to create a caramelized effect, rather than adding additional food inks, which may affect the taste and texture of the cookie. By converting the sugar compounds in the cookie dough into a caramel state during the baking process, the decorative effect can be achieved without the need for additional additives or inks. This method has several advantages. First, the natural taste and texture of the cookie are retained because no additional ingredients are introduced. The caramelized effect can add visual appeal and a unique touch to the cookie while maintaining its original flavor.

[0111] The advantages of the solution provided by the present invention for cookies are summarized as follows:

[0112] User-friendliness: The solution provided by the present invention does not require manual drawing or design skills, so even individual users without special artistic training or expertise can carry out cookie decoration.

[0113] Customization: Users can enter keywords or select images to create a personalized pattern that matches their desired aesthetic or theme, providing multiple customization options.

[0114] Save time: AI algorithms and laser scanning simplify the process of pattern generation, reducing the time required to create complex designs on cookies.

[0115] High Resolution: The laser scanner’s optimized settings ensure precise scanning of the cookies, resulting in high-resolution patterns with visual appeal and sharp outlines.

[0116] Batch production efficiency: The solution provided by the present invention provides an optimized speed to efficiently produce large quantities of carved cookies, making it suitable for commercial use.

[0117] Wide range of designs: AI algorithms can generate unique patterns based on user input, allowing for a wide range of designs and eliminating the repetitive pattern issues that often occur with preset pattern scanners.

[0118] Enhanced Accessibility: The solution provided by the present invention expands the accessibility of cookie decoration to a wider audience because users do not need extensive artistic training or expertise to create visually appealing patterns.

[0119] Versatility: The solution provided by the invention can be applied to various types of cookies and shapes, allowing flexibility in the design and decoration process.

[0120] Consistent Quality: The precise control provided by the laser scanning process ensures consistent quality across all engraved cookies, maintaining pattern integrity and visual appeal.

[0121] Reduced ingredient interference: By transforming the cookie’s sugar compounds into a caramel effect, concerns about taste, texture and potential allergies or dietary restrictions associated with additional additives are eliminated, while also allowing the cookie’s natural flavor to be preserved.

[0122] Enhanced crispness and flavor release: Laser-induced caramelization produces a delicate and attractive golden brown color that is associated with a satisfying crispness and texture.

[0123] The functional units and modules of the apparatus and methods according to the embodiments disclosed herein can be implemented using computing devices, computer processors or electronic circuits, including but not limited to application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), microcontrollers and other programmable logic devices configured or programmed according to the teachings of the present disclosure. A person skilled in the art of software or electronics can easily prepare computer instructions or software codes running in a computing device, a computer processor or a programmable logic device based on the teachings of the present disclosure.

[0124] All or part of the method according to the embodiment may be executed in one or more computing devices, including server computers, personal computers, laptop computers, mobile computing devices (such as smart phones and tablet computers).

[0125] Embodiments may include computer storage media, transient and non-transitory memory devices having stored therein computer instructions or software codes, which may be used to program or configure a computing device, a computer processor, or an electronic circuit to perform any of the processes of the present invention. Storage media, transient and non-transitory memory devices may include, but are not limited to, floppy disks, optical disks, Blu-ray disks, DVDs, CD-ROMs, magneto-optical disks, ROMs, RAMs, flash memory devices, or any type of medium or device suitable for storing instructions, codes, and / or data.

[0126] Each functional unit and module according to various embodiments may also be implemented in a distributed computing environment and / or a cloud computing environment, where all or part of a machine instruction is executed in a distributed manner by one or more processing devices that are interconnected through a communication network, such as an intranet, a wide area network (WAN), a local area network (LAN), the Internet, and other forms of data transmission media.

[0127] The above description of the present invention is provided for the purpose of illustration and description. It is not intended to be exhaustive or to limit the present invention to the precise form disclosed. For those skilled in the art, many modifications and variations will be apparent.

[0128] The embodiments were chosen and described in order to best explain the principles of the invention and its practical application, thereby enabling others skilled in the art to understand the invention for various embodiments and with various modifications as are suited to the particular use contemplated.

Claims

1. A system, characterized in that: The system utilizes artificial intelligence ( AI) model generates a pattern or image on the surface of a mooncake, the system comprising: A user interface (UI) module, which serves as an input component of the system and is configured to facilitate user interaction and input content to generate an image, and allows the user to enter keywords and descriptions to define the image of the mooncake; an AI-based image module, connected to the UI module, configured to generate at least one black and white vector image based on user input content provided by the UI module; an image converter module, connected to the UI module and the AI-based image module, configured to process the two-dimensional pattern or image generated by the AI-based image module to implement an extrusion process for 3D printing, and determine a required volume with a millimeter-level resolution, thereby accurately converting the two-dimensional pattern or image into a three-dimensional structure of the mooncake; a 3D printer connected to the image converter module, receiving digital instructions from the image converter module to perform 3D printing, wherein the 3D printer is configured to form an outer layer, an inner filling, and a top layer of the moon cake using different ingredients; and A laser patterning module, connected to the image converter module, receives the digital instructions from the image converter module to perform laser patterning, wherein the laser patterning module is configured to emit a laser beam to the surface of the top layer of the mooncake to create an image or pattern on the surface of the top layer of the mooncake, which involves selectively heating and browning the surface according to the two-dimensional pattern or image generated by the AI-based image module in response to the user input content.

2. The system according to claim 1, characterized in that The UI module is further configured to provide a dedicated input screen to the user, providing an interface for inputting positive keywords and negative keywords.

3. The system according to claim 2, characterized in that The AI-based image module is implemented in a Python-based engine, and wherein the dedicated input screen of the UI module is configured to display the AI-generated image produced by the AI-based image module to the user, thereby allowing interactive adjustments and real-time feedback to fine-tune the image.

4. The system according to claim 1, characterized in that The image converter module is also configured to convert the two-dimensional pattern or image generated by the AI-based image module into G-code instructions for the 3D printer, thereby defining specific movements and actions of the 3D printer, including material extrusion paths and layering methods of printed materials.

5. The system according to claim 1, characterized in that The 3D printer is equipped with a multi-nozzle material extrusion system and a multi-nozzle head system to allow the 3D printer to extrude up to four materials from an extrusion syringe.

6. The system according to claim 5, characterized in that The 3D printer is equipped with four material storage tanks, each of which is used to store different materials or ingredients, and the 3D printer includes a dedicated pipeline for transporting the materials or ingredients from the material storage tanks to the multi-nozzle head system, wherein the multi-nozzle head system is connected to four nozzle heads, each of which is capable of extruding different materials and cooperating with the rotating platform to apply the materials or ingredients to the moon cake.

7. The system according to claim 1, characterized in that The image converter module also includes a database for storing at least one dimension of the top layer, outer layer and inner filling of the mooncake, wherein the database is used in conjunction with the digital instructions from the image converter module to combine various necessary parameters for producing the mooncake during the image generation process.

8. A system, characterized in that: The system uses an artificial intelligence (AI) model to generate a pattern or image on the surface of a cookie, and the system includes: a user interface (UI) module, as an input component of the system, configured to facilitate user interaction and input of content to generate an image, and to allow the user to enter keywords and descriptions to define the image of the cookie; an AI-based image module, connected to the UI module, configured to generate at least one black and white vector image based on user input content provided by the UI module; an image converter module, connected to the UI module and the AI-based image module, configured to process the two-dimensional pattern or image generated by the AI-based image module to format the two-dimensional pattern or image into a scalable vector graphics (SVG) file; and A laser patterning module is connected to the image converter module and receives digital instructions from the image converter module to perform laser patterning, wherein the laser patterning module is configured to engrave a pattern or image design onto the surface of the cookie according to a path defined in the SVG file fed by the image converter module, thereby causing local caramelization of the surface of the cookie to increase the depth and contrast of the surface of the cookie.

9. The system according to claim 8, characterized in that The laser patterning module also includes a controller for storing parameter settings, wherein the parameter settings include number of passes, speed, power, frequency, pulse duration, laser on delay, laser off delay, laser end delay, and laser polygon delay.

10. The system according to claim 9, characterized in that The controller is configured to apply the parameter settings to the laser patterning module so that the laser patterning module performs laser patterning at a wavelength of 1066 nm, a power output setting of 10%, a speed of 1000 mm / s, a frequency of 30 kHz, and a pulse duration of 10 nanoseconds.

11. The system according to claim 10, characterized in that The laser patterning module also includes a database, which records the size of the biscuits to be processed to ensure that the laser beam does not exceed the size boundary of the biscuits during the laser patterning process.

12. The system according to claim 8, characterized in that The AI-based image module also includes an AI text-to-image model or an AI image-to-image model using Python, which is used to analyze the keywords and descriptions provided by the UI module.

13. A method, characterized in that Using an artificial intelligence (AI) model to generate a pattern or image on a pastry surface, characterized by including: Provide a user interface (UI) module as a user input component; Through the UI module, the user is allowed to input keywords and descriptions to define the image of the pastry; Through the UI module, it is convenient for users to interact and input content to generate images; generating at least one black and white vector image based on user input content provided by the UI module through an AI-based image module; Processing, by an image converter module, the two-dimensional pattern or image generated by the AI-based image module to generate digital instructions for at least a laser patterning module; receiving, by the laser patterning module, the digital instruction from the image converter module to perform laser patterning; and A laser beam is emitted to the surface of the pastry by the laser patterning module, which involves creating an image or pattern on the surface of the pastry according to the two-dimensional pattern or image generated by the AI-based imaging module in response to user input content.

14. The method according to claim 13, characterized in that The pastry is a moon cake, and the method further comprises: Processing the two-dimensional pattern or image to implement a 3D printing extrusion process; Determining the required volume with millimeter resolution to accurately convert the pattern into the three-dimensional structure of the mooncake; Using a 3D printer, using different food ingredients to form the outer layer, inner filling and top layer of the mooncake; and A laser beam is controlled to selectively heat and brown the surface of the top layer of the mooncake.

15. The system according to claim 14, characterized in that Also includes: The AI-generated image produced by the AI-based image module is displayed to the user through a dedicated input screen, allowing interactive adjustments and real-time feedback to fine-tune the image.

16. The system according to claim 14, characterized in that Also includes: A maximum of four materials are extruded from an extrusion syringe through the 3D printer, wherein the 3D printer is equipped with four material storage tanks, each of which is configured to store different materials or ingredients, and the 3D printer includes a dedicated pipeline for conveying the materials or ingredients from the material storage tanks to the multi-nozzle head system, wherein the multi-nozzle head system is connected to four nozzle heads, each of which is capable of extruding a different material and cooperating with a rotating platform to apply the materials or ingredients to the mooncake.

17. The method according to claim 13, characterized in that The cake is a biscuit, and the method further comprises: Formatting the two-dimensional pattern or image as a scalable vector graphics (SVG) file; controlling the laser beam by causing the laser beam to follow a path defined in an SVG file; and The pattern or image design is engraved onto the surface of the biscuit by the laser patterning module, thereby causing local caramelization of the surface of the biscuit to increase the depth and contrast of the surface of the biscuit.

18. The method according to claim 17, characterized in that Also includes: Parameter settings of the laser patterning module are stored by a controller, wherein the parameter settings include number of passes, speed, power, frequency, pulse duration, laser on delay, laser off delay, laser end delay, and laser polygon delay.

19. The method according to claim 18, characterized in that Also includes: The controller applies the parameter settings to the laser patterning module, so that the laser patterning module performs laser patterning at a wavelength of 1066 nm, a power output setting of 10%, a speed of 1000 mm / s, a frequency of 30 kHz, and a pulse duration of 10 nanoseconds.

Images