Systems and methods for using ai to generate patterns and integrate various food material extrusion, 3d printing, and laser applications

Abstract

The present application provides a method for generating patterns or images on pastries using an AI model, the method comprising at least the following steps: providing a UI module for user to input keywords and descriptions; using an AI-based image module to generate black and white vector images according to the input content; processing the 2D images into digital instructions through an image converter module; sending the digital instructions to a laser patterning module; and using the laser patterning module to apply the patterns to the surface of the cookies.

Description

TECHNICAL FIELD

[0001] The present invention generally relates to an artificial intelligence (AI) model for generating custom patterns on manufactured food items; in particular, a system and method that uses AI to generate patterns and integrates various food material extrusion, 3D printing, and laser applications. BACKGROUND

[0002] With the advancement of automation technology, there is a trend for some traditional handcrafted food industries to move towards full machine production of desserts. Among these traditional handcrafted foods, cookies and mooncakes have the potential for automated production because they require additional decorations or patterns on top of the food itself.

[0003] For cookies, the existing technology in the field of cookie decoration mainly revolves around handcraft techniques passed down through generations. These traditional methods require skilled artisans to use tools such as piping bags, brushes, and stencils to create patterns on cookies. However, these techniques have some limitations that hinder overall efficiency and design diversity.

[0004] Firstly, handcraft techniques are time-consuming and labor-intensive. Secondly, the range of available designs is usually limited to traditional methods. Artisans may have a set of patterns they can create, but these patterns 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 target requirements using only handcraft techniques. In addition to traditional handcraft techniques, there are pre-set pattern scanning machines available on the market for cookie decoration. These machines utilize mechanical systems to automate the process of decorating cookies with predetermined patterns or images. Instead of manually applying icing or painting on each cookie, these machines can engrave the desired design onto the surface of the cookie. Additionally, one common method used in some of these machines is the use of ink as an additive to create the desired pattern. These machines are equipped with inkjet systems that can deposit edible ink onto the cookies to form the desired design. While this method offers automation and precise pattern replication, it also has some drawbacks. One significant drawback of using ink as an additive is the potential impact on taste and texture. The ink can alter the taste and mouthfeel of the cookies, especially if the ink has a strong or artificial flavor. This can particularly reduce the overall quality of the cookies and their experience for those who prefer more traditional flavors or natural tastes.

[0005] Another major drawback of pre-set pattern scanning machines is the lack of customization. These machines offer a limited or predetermined selection of patterns or images for the user to choose from. While this can suffice for some basic design needs, it severely limits the creative potential and uniqueness of decorated cookies. Customers seeking individualization or complex designs can find themselves restricted by these limited options. Furthermore, the pre-set patterns on these machines are typically fixed and cannot be easily modified or customized by the user. This limits the flexibility and adaptability of the machines to cater to individual preferences or specific themes. As a result, the range of designs that can be achieved with these machines remains limited, and the content is repetitive.

[0006] Additionally, in the prior art, there is a lack of user-friendly methods that reduce the user's need for manual drawing or design skills. With conventional techniques and pre-set pattern scanning machines, users often have to rely on their artistic abilities or pre-existing patterns to create designs on cookies.

[0007] Similarly, the traditional mooncake production process involves many labor-intensive steps. First, the dough and filling ingredients are prepared separately. The dough is typically made from flour, water, and other additives, while the filling can vary depending on regional preferences but usually includes ingredients such as lotus paste, red bean paste, or salted egg yolk. The dough is then wrapped around the filling to form a spherical 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 firmly to imprint a pattern onto the surface of the mooncake. After that, the shaped mooncake is placed in an oven to bake 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 level of skilled labor and is susceptible to variations in shape and pattern. Additionally, the available patterns are limited to the designs provided by the mold, which restricts the creativity and individualization options for mooncake producers.

[0008] When discussing 3D food printing, including mooncake printing, there are specific challenges related to the food 3D design process and the use of multiple ingredients. First, the preparation of 3D-printed food often requires the use of computer 3D modeling techniques, which can be a personal barrier for some users in creating customized food shapes and appearances. The second major issue is the printability of different materials with different properties. Each ingredient can have different viscosity, flow characteristics, and temperature requirements, making it difficult to extrude consistently through a single print nozzle. While it is possible to switch between syringes or print nozzles to accommodate various ingredients, this is both time-consuming and inefficient. It also disrupts the printing workflow and extends the overall production time, which can further increase the risk of environmental contamination of food. While there are dual-material printing technologies on the market, they are typically limited to using two materials for printing, which is insufficient when multiple ingredients must be embedded in a single food item.

[0009] These limitations of computerized food design processes and nozzle switching pose challenges to achieving precise printing control of multi-ingredient mooncakes. Existing methods fail to provide an efficient, smooth solution to print complex patterns and designs while also incorporating various ingredients.

[0010] In light of the above, how to combine traditional hand-made food with existing technology has become a major challenge. SUMMARY

[0011] It is an object of the present invention to provide systems and methods to address the aforementioned shortcomings and unmet needs of the prior art.

[0012] One of the solutions provided by the present invention is to address the limitations of traditional mooncake production by introducing an artificial intelligence (AI) generated extrusion pattern for reinforced mooncake 3D printing. The AI algorithm is capable of generating unique and customizable designs, providing mass customization functionality for mooncakes. Individual users can create personalized food shapes and appearances by simplifying the creation process and reducing the required technical expertise. This customization goes beyond aesthetic limitations, as 3D food printing technology can accurately calculate the dosage and dosage of nutrients, fibers, and even traditional Chinese herbal ingredients.

[0013] The present invention incorporates AI to simplify the creation process and reduce the required technical expertise. In the present invention, a well-trained AI text-to-image model or AI image-to-image model is implemented by utilizing Python-based software, enabling users to input positive and negative keywords to define the aesthetics and features required for food shapes. These keywords serve as standards 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 generated two-dimensional patterns can be further processed by determining the required volume at a millimeter resolution level, and then slicing them into G-code instructions to achieve 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 extrusion paths and layering of printing materials. Accurate generation of G-code is crucial for achieving accurate and consistent 3D food printing.

[0015] In addition, the present invention incorporates a real-time four-nozzle material switching mode with independent air pressure valves, allowing for mixing and dividing different layers of different food ingredients with unique viscosity and rheological properties based on the generated extrusion pattern. This enables the creation of customized mooncakes with different flavors and textures that are visually appealing, thereby 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 components while promoting healthier eating habits. Additionally, the combination of artificial intelligence, 3D printing, and food laser patterning technology has broader applications in the culinary world.

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

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

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

[0020] Traditionally, cookie decoration involves time-consuming manual techniques, which limit the diversity of available designs. Creating complex patterns on cookies requires skilled artisans, and mass-produced cookies can also lack consistency. To address these challenges, the invention utilizes artificial intelligence algorithms and advanced scanning technology to produce fully customizable 2D patterns on cookies using a unique method involving 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 cookies. Unlike traditional methods that offer limited or preset patterns, the proposed artificial intelligence scanning system generates completely different patterns for each cookie. This mass customization capability allows for an infinite array of designs.

[0021] In the present invention, the method provided combines the most advanced laser scanning technology to achieve consistent and complex patterns. A high-precision laser system carefully etches the pattern onto 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 reproduced, resulting in impeccable and visually appealing biscuits with enhanced flavor, texture, and browning effects.

[0022] According to a first aspect of the present invention, there is provided a system for generating a pattern or image on a mooncake surface using an artificial intelligence (AI) model. The system comprises 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 serves as an input component of the system, configured to facilitate user interaction and input content for generating an image, and allows the user to input keywords and descriptions to define the image of the mooncake. The AI-based image module is connected to the UI module and is configured to generate at least one black-and-white vector image based on 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 achieve an extrusion process for 3D printing and determine the required volume at a millimeter-level resolution, thereby accurately converting the two-dimensional pattern or image into a three-dimensional structure of the mooncake. The 3D printer is connected to the image converter module and receives digital instructions from the image converter module, thereby performing 3D printing, wherein the 3D printer is configured to use different food materials to form the outer layer, inner filling, and top layer of the mooncake. The laser patterning module is connected to the image converter module and receives the digital instructions from the image converter module, thereby performing 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 application, there is provided a system for generating a pattern or image on a surface of a cookie 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 is configured as an input component of the system to facilitate user interaction and input of content to generate an image, and to allow a user to input keywords and descriptions to define the image of the cookie. The AI-based image module is connected to the UI module and is configured to generate at least one black and white vector image based on 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 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 onto a surface of the cookie in accordance with a path defined in the SVG file fed by the image converter module, resulting in partial caramelization of the surface of the cookie to increase the depth and contrast of the surface of the cookie.

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

[0025] With the above configuration, it is possible to generate unique and aesthetically pleasing patterns using AI algorithms to customize and reinforce the extrusion process and 3D printing process for mooncakes. The AI-generated patterns enhance the visual appeal of personalized mooncakes, contributing to structural reinforcement and nutritional enhancement of the pastries. The proposed solution also includes the incorporation of a multi-nozzle mechanism with customized air pressure regulation. The proposed solution enables the creation of complex mooncake designs with reinforced components while ensuring precise control and consistency throughout the printing process. This optimization approach using real-time printing technology helps to simplify mooncake production, providing a more efficient and effective method than traditional methods. The proposed solution combines a multi-nozzle mechanism and customized air pressure regulation, offering multiple advantages, including higher printing resolution, enhanced printing speed, flow control, and better consistency. Furthermore, the novel technical solution presented in this disclosure incorporates user-friendly features in the user interface, which addresses the problem of user pattern design. Instead of requiring users to manually draw or design patterns themselves, the system allows users to input keywords or images as references. Then, the AI algorithms integrated into the system analyze these inputs and generate appropriate file formats for transfer onto the cookies. BRIEF DESCRIPTION OF DRAWINGS

[0026] Embodiments of the present invention will be described in greater detail by referring to the drawings, in which:

[0027] Figure 1 A block diagram of a system that generates unique and aesthetically pleasing patterns using AI algorithms and is specifically designed for multi-material extrusion processes and 3D printing processes on reinforced mooncakes is shown in accordance with some embodiments of the present invention;

[0028] Figure 2 A flowchart of a 3D printed mooncake program method is shown in accordance with some embodiments of the present invention;

[0029] Figure 3 A flowchart of steps S10, S20, and S30 of a 3D printed mooncake program method is shown in accordance with some embodiments of the present invention;

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

[0032] Figure 5 A schematic diagram of a 3D printed mooncake, where the top layer of the mooncake is laser patterned with AI-generated images by a laser patterning module, is shown in accordance with some embodiments of the present invention;

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

[0034] Figure 7 A block diagram of a system is shown according to some embodiments of the present application, where the system generates a pattern or image on a cookie using an AI algorithm and implements it through a laser induced caramelization reaction;

[0035] Figure 8 A method flowchart of an AI generated image process is shown according to some embodiments of the present application;

[0036] Figure 9 An AI generated image example is shown according to some embodiments of the present application, which uses a Python software based on input keywords;

[0037] Figure 10 A method flowchart of a caramelization effect is shown according to some embodiments of the present application, including the process of making and using a laser patterning module;

[0038] Figure 11 A schematic of a laser patterning process of a cookie with an AI generated image is shown according to some embodiments of the present application;

[0039] Figure 12 An explanatory block diagram of a caramelization process using a sugar laser induced reaction of a cookie is shown according to some embodiments of the present application; and

[0040] Figure 13 A cookie example is shown according to some embodiments of the present application, which uses different powers to scan on a cookie to form an AI generated image pattern. DETAILED DESCRIPTION

[0041] In the following description, systems and methods for using AI generated patterns and integrating various 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, can be made without departing from the scope and spirit of the present application. Specific details can be omitted in order not to obscure the application; however, the present disclosure is written to enable one skilled in the art to practice the teachings of the present document without undue experimentation.

[0042] In the present disclosure, the term "connected" encompasses wired and wireless communication connections, to facilitate the transfer of data or signals between components. For example, if component A is described as being connected to component B, it means that component A can communicate with component B, thereby enabling the exchange of data or signals.

[0043] The present disclosure relates to a method of achieving customized patterns on 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 mooncakes, and the second part applies the technical solution provided by the present invention to biscuits.

[0044] The first part: a method and system for generating unique and beautiful patterns using AI algorithms, designed specifically for multi-material extrusion and 3D-printed mooncakes.

[0045] The present invention provides a technical solution that uses a multi-nozzle air pressure driven extrusion system to perform extrusion processes and 3D-printed AI-generated patterns, thereby enhancing the design of mooncakes. Mooncakes are traditional Chinese pastries consumed during the Mid-Autumn Festival, known for their complex patterns printed on the surface of the pastries. The present invention introduces a new method of generating unique and beautiful patterns using AI algorithms and multi-material extrusion methods, with the generated patterns specifically designed to enhance extrusion and 3D-printed designs on mooncakes. AI-generated patterns can enhance the visual appeal of mooncakes and have the potential to improve the nutritional fortification of pastries.

[0046] In traditional food production, including mooncake making, consistency and mass customization are two major challenges. In the traditional mooncake making process, human labor is often required to use molds to shape the pastries into specific shapes. This process is very time-consuming and limits the variety of patterns, designs, and formulations available.

[0047] Another challenge of traditional mooncake production is meeting customized nutritional needs. Traditional mooncakes are usually made with standard ingredients and formulations, with limited control over the nutritional content of the pastries. This poses a challenge for individuals with special dietary needs or health problems. 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 problems 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 method proposed in the present disclosure, has the advantages of consistency and mass customization. By leveraging 3D food printing technology, mooncake production can be more automated and controllable, ensuring that each mooncake is consistent in shape, nutritional content, ingredient composition, size, and pattern. The use of 3D printing technology also eliminates the need for manual, labor-intensive processes such as molding, thereby reducing production time and cost. Therefore, mooncakes can be produced more efficiently and in larger quantities, meeting the demand for mass production while maintaining consistency in shape and appearance.

[0049] While 3D food printing means can be a solution to creating nutritionally fortified customized food, 3D printed food preparation often requires technical capabilities in computer 3D modeling, which can be an obstacle for individuals who wish to create customized food shapes and appearances. Moreover, 3D food printing involves multiple stages, including recipe creation, 3D modeling, slicing the model in a layer-by-layer fashion, and generating corresponding G-code instructions for the printer to follow. Each stage often relies on different software systems, which makes integration and smooth customization challenging and time-consuming.

[0050] Furthermore, due to the limitations of current 3D printing technology, printing food such as mooncakes with multiple ingredients embedded presents significant challenges. One of the main issues is the printability of different materials with different properties. Each ingredient can have different viscosity, flow characteristics, and temperature requirements, making it difficult to extrude all of them consistently through a single print nozzle. If switching between syringes or print nozzles is done to accommodate various ingredients, it is both time-consuming and inefficient. This not only interrupts the printing workflow but also lengthens the overall production time, further increasing the risk of environmental contamination of the food. While there are dual-material printing technologies on the market, they are usually limited to printing with two materials, which cannot be made smoothly when multiple ingredients must be embedded in a single food item.

[0051] In view of the above problems, the proposed method utilizes AI-generated patterns for extrusion and laser patterning applications during the 3D food printing process to achieve various customizable mooncake designs. AI algorithms can generate complex and unique patterns that can be applied to the surface of the mooncake during the printing process. This approach allows for mass customization, as each mooncake can have a unique customized design to meet individual preferences or comply with 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 trained AI text-to-image model or AI image-to-image model, the technical solution of the present invention enables users to input positive and negative keywords to define the shape aesthetics and features of the food. The inputted keywords can serve as the standard for the AI algorithm to generate a vector image, which can then be converted into an extrusion pattern suitable for 3D printing.

[0052] Figure 1 A block diagram of a system that utilizes AI algorithms to generate unique and aesthetically pleasing patterns and is specifically designed for multi-material extrusion and 3D printing on fortified mooncakes is shown according to some embodiments of the present invention. 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 serve as an entry component of the system 100 for facilitating user interaction and input during the mooncake design process. The UI module 102 can provide a dedicated input screen (e.g., a virtual screen) for the user to input keywords and descriptions (i.e., captions) that define the aesthetic and characteristic basis for the mooncake design. These inputs serve as criteria for the AI algorithm to generate a customized pattern or image.

[0054] The UI module 102 is connected to the AI-based image module 110, which can generate a black-and-white vector-style image based on the user’s input. In one embodiment, the AI-based image module 110 is implemented in a Python-based engine. Upon user input of a caption, the user can preview the AI image generated by the AI-based image module 110 for interactive adjustment and real-time feedback to fine-tune the design. The AI-based image module 110 can provide a corresponding customized design according to the user’s requirements. For example, the user can save and edit their own design history in the AI-based image module 110 for flexibility and convenience. Once the user is satisfied with the previewed design, the user can confirm their selection in the AI-based image module 110 and send the final design to the next stage for further processing.

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

[0056] The image converter module 120 connects the UI module 102 and the AI-based image module 110 and serves as an intermediary component between the user end and the 3D printer end. The image converter module 120 can facilitate the user to convert the confirmed two-dimensional pattern or image into a format that can be executed by the 3D printer for 3D printing. The image converter module 120 processes the two-dimensional pattern or image generated by the AI-based image module 110 to achieve 3D printable extrusion and also determines the required volume at a 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 make layered production of the printing material.

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

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

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

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

[0061] Further details are as follows.

[0062] Figure 2A method flowchart for 3D printing mooncake procedure is shown according to some embodiments of the present application. The proposed method is to use AI-generated image pattern to extrude and create 3D printed mooncake, which comprises steps S10, S20, S30, S40, S50, S60, S70 and S80 in sequence.

[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 of user input are used as criteria for the AI algorithm. Step S20 is to execute the AI algorithm. The AI-based image module 110 can generate a black-and-white vector image according to 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-level resolution.

[0064] Figure 3 A flowchart of steps S10, S20 and S30 of the 3D printing mooncake procedure method is shown according to some embodiments of the present application. Figure 3 The illustration of shows the details of steps S10-S30, which are taken as an example of the flowchart of 3D printing mooncake, and the mooncake has an extrusion pattern of AI-generated image. 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 as well as negative keywords. In Figure 3 In the example of the illustration of, the positive prompts and keywords include: cute dog sticking out tongue, vector logo style, line art, flat design, simple, high contrast, black and white; the negative keywords include: background, texture, gradient gray. The AI-based image module 110 can also include an embedding layer, which is used to process the text encoder of the keywords and to convert these keywords into a vector representation suitable for generating a pattern or image. Therefore, in steps S120 and S130 of making 3D printed mooncake with extrusion pattern of AI-generated image, the AI-based image module 110 first processes the user prompts by filtering out negative words and generating embeddings, and then creates a vector graph 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 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] Referring back to Figure 2, step S40 is generating 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 of the printing material and the layering process. Step S50 is preparing materials. For example, different food ingredients with unique viscosity and rheological properties are prepared for printing. Then, the ingredients of the outer layer and the inner filling, including the fortified nutrients, are selected. Step S60 is making the moon cake, 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 making process by extruding the outer layer of the moon cake. 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 moon cake. The inner filling contains fortified nutrients, providing additional nutritional value to the moon cake. In the stage of making the top layer, the 3D printer 130 can complete the making of the moon cake by extruding the top layer on the outer layer using the AI-generated pattern. The outer layer increases the overall visual appeal of the moon cake and combines specific design elements generated by the AI algorithm as described earlier.

[0067] In this regard, Figure 4A According to some embodiments of the present application, a 3D printer 130 with multi-nozzle material extrusion is shown, Figure 4B According to some embodiments of the present application, a multi-nozzle head system 132 is shown for extruding up to four materials from the extrusion syringe. The 3D printer 130 is equipped with four material storage tanks 134, each configured to store a different material or ingredient. The materials of the moon cake can be delivered from the material storage tanks 134 to the multi-nozzle head system 132 through dedicated pipes 135. The multi-nozzle head system 132 is connected to four nozzle heads, each capable of extruding a different material. The multi-nozzle head system 132 is used in conjunction with a rotating platform 136 to apply various materials or ingredients to the target moon cake, enabling the creation of complex and multi-level designs with a high degree of customization.

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

[0069] Step S70 is to obtain the final product, as Figure 6 shown, which shows an example schematic diagram of a 3D printed moon cake 200 with an extruded pattern of an AI-generated image on the top layer 202. Specifically, the 3D printed moon cake 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 fabrication of the mooncake by extruding the top layer 202 over the outer layer 206 using the AI-generated pattern or image. 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 inner filling 204, the 3D printer deposits the inner filling 204 in the mooncake 200 using a specific syringe nozzle or combination of nozzles. The inner filling 204 contains fortified nutritional ingredients, providing additional nutritional value to the mooncake. With respect to the outer layer 206, the 3D printer can first extrude the outer layer 206 of the mooncake 200 at the beginning of the manufacturing process.

[0071] In one embodiment, as a practical example, a mooncake can be fabricated according to the following recipe:

[0072] The ingredients for the outer layer include invert sugar syrup, vegetable oil, lye water, water, and soft wheat flour. The nutritional fortified filling includes salted duck egg yolk, whey powder, xanthan gum, water, vegetable oil, turmeric powder. The detailed preparation and post-processing procedures for the 3D printing process include: 1) preheat the heating bed of the 3D printer to 100°C; 2) mix the invert sugar syrup, lye water, water, and vegetable oil in a large mixing bowl; 3) add the soft wheat flour and turmeric powder to the above mixture and stir all the ingredients for 5 minutes; 4) cover with plastic wrap and let stand for 30 minutes; 5) load the mixed sample into syringes; 6) according to the design program, use three different 3D modeling files (i.e., outer layer, inner filling, and top layer) to print the mooncake at 100°C; 7) remove the printed sample and bake in an oven at 175°C for 10 minutes.

[0073] In this way, the final product results in a personalized mooncake with a nutritionally enriched outer layer, inner filling, and a top layer with AI-generated extruded patterns and optionally laser-patterned browning effects. Compared to traditional mooncake production methods, the proposed method in the present invention can provide enhanced customization, nutritional fortification, and aesthetic appeal.

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

[0075] The proposed 3D food printing solution addresses 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 undergone a revolutionary change, offering numerous advantages and opportunities. The proposed solution eliminates the need for various technical skills in computer 3D modeling, making it easy for individual users who want to create unique food shapes and appearances. The AI-guided process then simplifies recipe creation, 3D modeling, slicing, and G-code generation, ultimately simplifying the production workflow.

[0076] Furthermore, the proposed solution addresses the challenge of embedding multiple ingredients in a single food item. By implementing a multi-nozzle or multi-extruder system, different materials can be extruded simultaneously, allowing for the creation of complex mooncakes with various embedded components. This advancement overcomes the limitations of current technology and offers greater flexibility in ingredient selection and design.

[0077] The proposed solution makes mooncake production more efficient, consistent, and customizable. Individual users can unleash their creativity, explore new flavors and designs, and meet personalized nutritional needs. Additionally, the provided 3D food printing technology opens up possibilities for wider applications in the culinary field, which can change the way food is made and consumed.

[0078] Therefore, the proposed solution combines AI, advanced 3D printing technology, and a focus on personalized nutrition, completely changing the traditional mooncake production process. By simplifying the production process, providing large-scale customization capabilities, and enabling the embedding of multiple ingredients, creativity, efficiency, and high customization levels can be achieved in mooncake production and other fields.

[0079] The second part: a method and system for generating unique and beautiful patterns using AI algorithms, and the patterns are specifically designed on commercial cookies to achieve laser-induced caramel interactions.

[0080] In this part, the proposed solution introduces a novel method and system for generating unique and beautiful patterns using AI algorithms, and the patterns are specifically designed on general cookies through scanning.

[0081] Traditionally, cookie decoration involves time-consuming manual techniques, which limit the diversity of available designs. Creating complex patterns on cookies requires skilled artisans and lacks consistency across large quantities 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 using a unique method of 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 cookies. Unlike traditional methods that offer limited or preset patterns, the proposed AI scanning system generates a completely different pattern for each cookie. The use of AI algorithms and laser scanning technology both contribute to the customization of cookies.

[0082] The method provided by the present invention combines the most advanced laser scanning technology to achieve consistent and complex patterns. A high-precision laser system etches patterns onto each cookie, surpassing the capabilities of traditional manual methods and avoiding the use of additional ink as an additive. This ensures that the engraved design can be accurately reproduced, resulting in visually appealing cookies 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 specifically designed for scanning commercial cookies. Such an innovative approach provides a fully customizable and 2D pattern-generating scanning method.

[0084] Figure 7 According to some embodiments of the present invention, a framework diagram of a system 300 is shown, which utilizes AI algorithms to generate patterns or images on cookies and is implemented through laser-induced caramel reactions. The system 300 has a configuration similar to the system 100 shown in Figure 1 However, the 3D printer 130 of the system 100 is omitted. Specifically, the system 300 is applied to generate patterns or images on cookies that have already been shaped. 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 collectively used in the AI-generated image generation process. This method 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 method flowchart of the AI-generated image process is shown. The AI-generated image generation process method includes steps S400 and S410 in sequence.

[0086] Step S400 involves AI image generation. As mentioned previously, 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 aesthetic and characteristic design that the desired cookie decoration has. These inputs act as generation criteria during the process of the AI algorithm generating black and white vector images. 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 two-dimensional patterns based on the inputs, ensuring that each pattern has uniqueness and is consistent with the user's preferences.

[0087] Step S410 involves formatting the Scalable Vector Graphics (SVG) file. Then, the image converter module 320 formats the black and white vector style image generated by the AI-based image module 310 into an SVG file. The SVG file is a widely used XML-based file format for describing two-dimensional vector graphics. Such files allow precise control over the shapes, colors, and other visual elements of a design. For example, Figure 9 An AI-generated image example is shown according to some embodiments of the present application, which uses Python software based on input keywords. This step is also called the pattern conversion phase. The generated two-dimensional patterns are converted into a format suitable for scanning onto cookies. The conversion process ensures that the patterns are optimized for the cookie decoration process, taking into account factors such as resolution and compatibility with scanning technology.

[0088] The method also includes step S420, which is performed using the laser patterning module 330.

[0089] Step S420 involves the manufacturing process and caramelization effect. The laser patterning module 330 follows the paths defined in the SVG file fed by the image converter module 320 to engrave 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 phase can include several steps.

[0090] Figure 10 A method flowchart of the caramelization effect is shown according to some embodiments of the present application, including the process of making and using the laser patterning module. The manufacturing process and caramelization effect method using the laser patterning module 330 successively includes steps S500, S510, S520, S530, S540, and S550.

[0091] Step S500 involves laser engraving preparation. This step is also known as laser scanning pre-job preparation. Before starting the laser-induced caramelization process, it is necessary to ensure that the biscuit surface is clean and free of any contaminants. The biscuit is placed firmly 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 biscuit and the desired result, 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 suit the biscuit surface for efficient energy absorption. In one embodiment, the laser patterning module 330 can 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) Number of scans: refers to the number of times the laser beam scans the biscuit surface. In one embodiment, it is set to 1, indicating that it is scanned once.

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

[0095] (3) Power (%): refers to the intensity of the laser beam. In one embodiment, the power is expressed as a percentage, with 10% indicating 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, indicating that each laser pulse lasts for 100 billionths of a second.

[0098] (6) Laser on delay: indicates the delay time after starting the engraving process and before the laser is turned on. In one embodiment, the value is 0, indicating no delay, so the laser is turned on immediately.

[0099] (7) : Laser off delay: represents the delay time after the laser finishes engraving and before it turns off. In one embodiment, the delay is 100, which means that the laser stays on for an additional 100 milliseconds after the engraving process is complete.

[0100] (8) : Laser end delay: represents the delay time after the laser finishes each scan before it starts the next scan. In one embodiment, a delay of 50 is used, which means that 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 an 80-millisecond pause between points.

[0102] These parameters control the behavior of the laser engraver, determining the speed, power, and time 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 surface of the cookie.

[0103] Step S520 involves laser scanning. Figure 11 A schematic of the laser patterning process of a cookie 600 with an AI-generated image is shown according to some embodiments of the present application. 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 1066 nm, with a power output set to 10%, a speed of 1000 mm / s, a frequency of 30 kHz, and a pulse duration of 10 nanoseconds. The laser points on the surface of the cookie are generated by the laser beam 332 provided by the laser patterning module 330, resulting in the outline of the desired image (i.e., the laser points are moved, and then the image outline is completed by the trajectory of the laser points).

[0104] In one embodiment, the laser patterning module 330 also includes a database that records the dimensions of the cookie to be processed, ensuring that the laser beam does not exceed the size boundaries of the cookie during the laser patterning process.

[0105] These optimized settings ensure that the cookie is scanned while maintaining high resolution. The scanning process is controlled to avoid burning or penetrating the cookie too deeply, resulting in a visually appealing and well-defined pattern. In one embodiment, the laser patterning module 330 provides a laser beam and can control how the scanning pattern is generated to be directed onto the surface of the cookie through an AI tool (e.g., a controller with a model set in the laser patterning module 330), providing precise and localized energy release.

[0106] Step S530 involves the heat transfer and 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 partially caramelized, resulting in visually appealing patterns. 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 up rapidly. The sugar content in the cookie 600 can undergo a caramelization process. By reaching high temperatures with the laser beam 332, sugar molecules can break down and undergo a series of complex chemical reactions, resulting in caramelized compounds. Figure 12 An illustrative block diagram of the laser-induced caramelization process of 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 exposure intensity and duration of the laser determine the depth and darkness of caramelization. For example, Figure 13 A cookie example showing different power scans on a cookie to form an AI-generated image pattern is shown according to some embodiments of the present invention.

[0108] Step S550 involves the cooling and solidification process. The cookie can be cooled to solidify the caramelized areas, ensuring 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 content, and the laser scanning process ensures accurate and efficient mass production of engraved cookies. Users can turn their ideas into engraved patterns on cookies, whether it's personalized information, specific logos, or theme images. In addition, the workflow adopted 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] In addition, the method provided utilizes the material of the cookie itself to produce the caramelization effect, rather than adding additional food ink, as additional additives can affect the taste and texture of the cookie. By converting sugar compounds in the cookie dough to a caramelized state during the baking process, the decoration effect can be achieved without the need for additional additives or ink. This method has several advantages. First, the natural taste and texture of the cookie are preserved, as no additional ingredients are introduced. The caramelization effect can add visual appeal and unique tactile sensation 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 this invention does not require manual drawing or design skills, so even individual users who have not received specialized art training or expertise can decorate cookies.

[0113] Customization: Users can enter keywords or select images to create personalized patterns that match their desired aesthetics or themes, thus providing diverse customization options.

[0114] Save time: The process of generating patterns through AI algorithms and laser scanning is simplified, reducing the time required to create complex designs on cookies.

[0115] High resolution: Optimized settings for the laser scanner ensure accurate scanning of cookies, resulting in high-resolution patterns with visual appeal and sharp outlines.

[0116] Mass production efficiency: The solution provided by this invention offers optimized speed for the efficient production of large quantities of sculpted cookies, making them suitable for commercial use.

[0117] Wide range of designs: AI algorithms can generate unique patterns based on user input, enabling a variety of designs and eliminating the problem of repetitive patterns that often occurs with preset pattern scanners.

[0118] Enhanced accessibility: The solution provided by this invention extends the accessibility of cookie decorations to a wider audience because users do not need extensive art training or expertise to create visually appealing designs.

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

[0120] Consistent quality: The precise control provided by the laser scanning process ensures that all sculpted cookies are of consistent quality, maintaining the integrity and visual appeal of the designs.

[0121] Reduced ingredient interference: By converting the sugar compounds in cookies into a caramel effect, concerns about taste, texture, and potential allergies or dietary restrictions associated with additional additives are eliminated, while also preserving the natural flavor of the cookies.

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

[0123] The functional units and modules of the apparatus and methods according to 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. Those skilled in the software and electronic arts can readily prepare computer instructions or software code for running on computing devices, computer processors, or programmable logic devices based on the teachings of the present disclosure.

[0124] All or portions of the methods of embodiments can be executed in one or more computing devices, including server computers, personal computers, notebook computers, mobile computing devices (e.g., smartphones and tablet computers).

[0125] Embodiments can include computer storage media, transitory and non-transitory memory devices having computer instructions or software code stored thereon, which can be used to program or configure computing devices, computer processors, or electronic circuits to perform any of the processes of the present invention. Storage media, transitory and non-transitory memory devices can 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 media or device suitable for storing instructions, codes, and / or data.

[0126] Each functional unit and module according to various embodiments can also be implemented in a distributed computing environment and / or a cloud computing environment, where all or portions of machine instructions are executed by one or more processing devices in a distributed manner, the processing devices being interconnected by 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 invention to the precise forms disclosed. Many modifications and variations will be apparent to practitioners skilled in the art.

[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 by The system utilizes an artificial intelligence (AI) model to generate a pattern or image on the surface of a mooncake, the system comprising: a user interface (UI) module configured as an input component of the system to facilitate user interaction and input of content to generate an image, and to allow user input of keywords and descriptions to define the image of the mooncake; an AI-based image module connected to the UI module and 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 and configured to process a two-dimensional pattern or image generated by the AI-based image module to implement an extrusion process for 3D printing and to determine a required volume with 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 and receiving digital instructions from the image converter module to perform 3D printing, wherein the 3D printer is configured to use different food materials to form an outer layer, an inner filling, and a top layer of the mooncake; and a laser patterning module connected to the image converter module and receiving 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 involving 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 of claim 1, wherein, 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 of claim 2, wherein, 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 AI-generated images produced by the AI-based image module to the user, thereby allowing interactive adjustment and real-time feedback for fine-tuning the images.

4. The system of claim 1, wherein, The image converter module is further configured to convert the two-dimensional pattern or image produced by the AI-based image module into G-code instructions for the 3D printer to define specific movements and actions of the 3D printer, including material extrusion paths and layering ways of printed materials.

5. The system of claim 1, wherein, 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 extrusion syringes.

6. The system of claim 5, wherein, The 3D printer is equipped with four material storage slots, each for storing a different material or ingredient, and includes dedicated pipes for delivering the materials or ingredients from the material storage slots to the multi-nozzle head system, wherein the multi-nozzle head system is connected to four nozzle heads, each capable of extruding a different material, and cooperates with a rotating platform to apply the materials or ingredients to the mooncake.

7. The system of claim 1, wherein, The image converter module further comprises a database for storing at least one dimension of the top layer, outer layer and inner filling of the moon cake, wherein the database is used in cooperation with the digital instructions from the image converter module to combine various necessary parameters for producing the moon cake in the image generation process.

8. A system, characterized by The system generates a pattern or image on the surface of a biscuit using an artificial intelligence (AI) model, the system comprising: a user interface (UI) module configured as an input component of the system to facilitate user interaction and input of content for generating an image, and to allow a user to input keywords and descriptions to define the image of the biscuit; an AI-based image module connected to the UI module and configured to generate at least one black and white vector image based on user input provided by the UI module; an image converter module connected to the UI module and the AI-based image module and configured to process a 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 connected to the image converter module and receiving digital instructions from the image converter module to perform laser patterning, wherein the laser patterning module is configured to engrave a pattern or image onto the surface of the biscuit in accordance with a path defined in the SVG file fed by the image converter module, resulting in partial caramelization of the surface of the biscuit to increase the depth and contrast of the surface of the biscuit.

9. The system of claim 8, wherein, The laser patterning module further comprises 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 of claim 9, wherein, The controller is configured to apply the parameter settings to the laser patterning module such that the laser patterning module performs laser patterning with 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 of claim 10, wherein, The laser patterning module further comprises a database that records the dimensions of the biscuit to be processed, ensuring that the laser beam does not exceed the dimensional boundaries of the biscuit during the laser patterning process.

12. The system of claim 8, wherein, The AI-based image module further comprises the use of a Python-based AI text-to-image model or an AI image-to-image model for analyzing the keywords and descriptions provided by the UI module.

13. A method characterized by, A system for generating a pattern or image on the surface of a biscuit using an artificial intelligence (AI) model, the system comprising: a user interface (UI) module configured as an input component of the system to facilitate user interaction and input of content for generating an image, and to allow a user to input keywords and descriptions to define the image of the biscuit; an AI-based image module connected to the UI module and configured to generate at least one black and white vector image based on user input provided by the UI module; an image converter module connected to the UI module and the AI-based image module and configured to process a 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 connected to the image converter module and receiving digital instructions from the image converter module to perform laser patterning, wherein the laser patterning module is configured to engrave a pattern or image onto the surface of the biscuit in accordance with a path defined in the SVG file fed by the image converter module, resulting in partial caramelization of the surface of the biscuit to increase the depth and contrast of the surface of the biscuit. The laser patterning module further comprises 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. The controller is configured to apply the parameter settings to the laser patterning module such that the laser patterning module performs laser patterning with 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. The laser patterning module further comprises a database that records the dimensions of the biscuit to be processed, ensuring that the laser beam does not exceed the dimensional boundaries of the biscuit during the laser patterning process. The AI-based image module further comprises the use of a Python-based AI text-to-image model or an AI image-to-image model for analyzing the keywords and descriptions provided by the UI module. A system for generating a pattern or image on the surface of a biscuit using an artificial intelligence (AI) model, the system comprising: a user interface (UI) module configured as an input component of the system to facilitate user interaction and input of content for generating an image, and to allow a user to input keywords and descriptions to define the image of the biscuit; an AI-based image module connected to the UI module and configured to generate at least one black and white vector image based on user input provided by the UI module; an image converter module connected to the UI module and the AI-based image module and configured to process a 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 connected to the image converter module and receiving digital instructions from the image converter module to perform laser patterning, wherein the laser patterning module is configured to engrave a pattern or image onto the surface of the biscuit in accordance with a path defined in the SVG file fed by the image converter module, resulting in partial caramelization of the surface of the biscuit to increase the depth and contrast of the surface of the biscuit. The laser patterning module further comprises 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. The controller is configured to apply the parameter settings to the laser patterning module such that the laser patterning module performs laser patterning with 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. The laser patterning module further comprises a database that records the dimensions of the biscuit to be processed, ensuring that the laser beam does not exceed the dimensional boundaries of the biscuit during the laser patterning process. The AI-based image module further comprises the use of a Python-based AI text-to-image model or an AI image-to-image model for analyzing the keywords and descriptions provided by the UI module. processing, by an image converter module, a 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 instructions from the image converter module for laser patterning; and firing, by the laser patterning module, a laser beam at a surface of the pastry involving the two-dimensional pattern or image generated by the AI-based image module in response to user input content to create an image or pattern on the surface of the pastry.

14. The method of claim 13, wherein, the pastry is a mooncake, and the method further comprises: processing the two-dimensional pattern or image to enable a 3D printing extrusion process; determining a required volume in millimeter resolution to accurately convert the pattern into a three-dimensional structure of the mooncake; forming, by a 3D printer, an outer layer, an inner filling, and a top layer of the mooncake using different food ingredients; and controlling the laser beam to selectively heat and brown the surface of the top layer of the mooncake.

15. The method of claim 14, wherein, further comprising: displaying, by a dedicated input screen, AI-generated images produced by the AI-based image module to a user, thereby allowing interactive adjustments and real-time feedback to fine-tune the images.

16. The method of claim 14, wherein, further comprising: extruding, by the 3D printer, up to four materials from extrusion injectors, wherein the 3D printer is equipped with four material storage slots, each of the storage slots is configured to store a different material or ingredient, and the 3D printer includes dedicated tubing for delivering the materials or ingredients from the material storage slots to a multi-nozzle head system, wherein the multi-nozzle head system is connected to four nozzle heads, each of the nozzle heads is capable of extruding a different material, and cooperates with a rotating platform to apply the materials or ingredients onto the mooncake.

17. The method of claim 13, wherein, the pastry is a cookie, and the method further comprises: formatting the two-dimensional pattern or image into a scalable vector graphics (SVG) file; controlling the laser beam by causing the laser beam to follow a path defined in the SVG file; and engraving, by the laser patterning module, the pattern or image onto the surface of the cookie, thereby causing the surface of the cookie to be partially caramelized to increase depth and contrast of the surface of the cookie.

18. The method of claim 17, wherein, further comprising: storing, by a controller, parameter settings of the laser patterning module, 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 of claim 18, wherein, further comprising: applying, by the controller, the parameter settings to the laser patterning module such that the laser patterning module performs laser patterning with a wavelength of 1066 nm, a power output setting of 10%, a speed of 1000 mm / s, a frequency of 30 kHz, a pulse duration of 10 nanoseconds.

Images