Assisted design device and method based on artificial intelligence

Abstract

The invention discloses an auxiliary design device and method based on artificial intelligence, and relates to the technical field of intelligent assistance. Comprising an AI module used for establishing an AI creative generation platform; the AI creative generation platform comprises a user creation information acquisition module, a data acquisition module, a data processing and analysis module, a creative picture generation module, a creative picture adjustment module and a display module. The user creation information acquisition module is used for acquiring user creation information by transmitting a user instruction; the data acquisition module is used for acquiring design operation information; the data processing and analyzing module is used for extracting operation characteristics from the design operation information; the creative picture generation module is used for identifying the user creation information based on the operation characteristics and generating a creative picture; the creative picture adjusting module is used for performing secondary drawing fine adjustment on the creative picture; and the display module is used for displaying the final creative picture. According to the method, high integration and intelligence of the creative design process can be improved, and the design efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent assistance technology, and more particularly to an auxiliary design device and method based on artificial intelligence. Background Art

[0002] With the rapid development of artificial intelligence technology, significant progress has been made in the field of creative generation. Traditional creative generation methods rely on manual design and production, which consume a large amount of time and labor. The rise of artificial intelligence technology has made it possible to develop automatic creative generation systems that can generate high-quality designs and products quickly and efficiently. In addition, it is difficult for people without professional education to realize and monetize their ideas. Through this platform, the creative process can be greatly simplified, enabling everyone's creativity to be presented. However, in the traditional mode, the time and money costs of creative production are too high to be truly implemented.

[0003] Existing design specification systems mainly rely on fixed and preset design rules and standards, making it difficult to dynamically adjust according to different requirements and lacking intelligent assistance in the design process, resulting in low design efficiency and unstable design quality.

[0004] Therefore, it is an urgent problem for those skilled in the art to propose an auxiliary design device and method based on artificial intelligence to solve the difficulties existing in the prior art. Summary of the Invention

[0005] In view of this, the present invention provides an auxiliary design device and method based on artificial intelligence to solve the technical problems existing in the prior art.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] An auxiliary design device based on artificial intelligence, comprising: an AI module for establishing an AI creative generation platform;

[0008] Wherein, the AI creative generation platform includes a user creation information acquisition module, a data acquisition module, a feature extraction module, a creative image generation module, a creative image adjustment module, and a display module connected in sequence;

[0009] The user creation information acquisition module is used to acquire user creation information by transmitting user instructions;

[0010] The data acquisition module is used to acquire design operation information;

[0011] The feature extraction module is used to extract operation features from the acquired design operation information;

[0012] A creative image generation module for identifying user creation information based on operation features and generating creative images;

[0013] A creative image adjustment module for fine-tuning the creative image through secondary drawing to generate the final creative image;

[0014] A display module for displaying the final creative image.

[0015] Optionally, the specific content of obtaining user creation information is as follows:

[0016] The user creation information acquisition module is used to interact with the user terminal, transmit user instructions through the API interface, and obtain user creation information.

[0017] Optionally, the specific content of extracting operation features from the obtained design operation information is as follows:

[0018] Extract operation features by detecting key points or feature regions in the design operation information. The key points or feature regions include color matching, line style, shape combination, and layout structure, which can intelligently identify and extract these elements as operation features to provide a basis for subsequent image generation.

[0019] Optionally, the method of extracting operation features: Using image processing and artificial intelligence technologies, first preprocess the design operation information, including denoising and enhancing contrast; then use deep learning algorithms to extract features from the preprocessed design operation information, which can automatically identify and extract color matching, line style, shape combination, and layout structure.

[0020] Optionally, the specific content of identifying user creation information based on operation features and generating creative images is as follows: User creation information includes: creative text information and creative manuscript information;

[0021] First, parse the creative text information and creative manuscript information input by the user. For the creative text information, identify the text content, font style, and font size, and construct the framework and style of the image based on this information;

[0022] For the creative manuscript information, extract the lines, shapes, and colors in the manuscript through image recognition technology to improve the details and expressiveness of the image;

[0023] Generate creative images through the above content.

[0024] Optionally, the specific content of fine-tuning the creative image through secondary drawing to generate the final creative image is as follows:

[0025] When receiving the secondary drawing fine-tuning instruction, obtain the editing information of the creative image;

[0026] Fine-tune the editing data in the editing information according to the secondary drawing fine-tuning instruction to generate the fine-tuned editing information;

[0027] Perform secondary creation on the creative picture according to the fine-tuned editing information to obtain the final creative picture.

[0028] Optionally, the editing information includes: the layout of the picture, the saturation parameter, the contrast parameter, the vignette parameter, the watermark information, and the line parameter.

[0029] Optionally, the display module uses a 12.5-inch touch display panel with the model number XK-DST121VH.

[0030] An AI-based assisted design method, applying an AI-based assisted design device according to any one of the above, includes the following steps:

[0031] Establish an AI creative generation platform, where the AI creative generation platform includes a user creation information acquisition module, a data acquisition module, a feature extraction module, a creative picture generation module, a creative picture adjustment module, and a display module that are connected in sequence;

[0032] Use the user creation information acquisition module to obtain user creation information by transmitting user instructions;

[0033] Use the data acquisition module to obtain design operation information;

[0034] Use the feature extraction module to extract operation features from the obtained design operation information;

[0035] Use the creative picture generation module to identify the user creation information through the extracted operation features and generate a creative picture;

[0036] Use the creative picture adjustment module to perform secondary drawing fine-tuning on the creative picture to generate the final creative picture;

[0037] Use the display module to display the final creative picture.

[0038] From the above technical solutions, it can be seen that compared with the prior art, the present invention discloses an AI-based assisted design device and method, and its beneficial effects are:

[0039] 1) It achieves a high degree of integration and automation of the creative design process, improves the design efficiency, and meets the technical effects of the diverse and personalized needs of users;

[0040] 2) The present invention can further provide refined content, which can reduce the work pressure of users, reduce the time of mechanical operations, and help them spend more time on subjective creation;

[0041] 3) The device of the present invention has a simple structure and is convenient to carry. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only the embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on the provided drawings.

[0043] Figure 1 It is a structural diagram of an auxiliary design device based on artificial intelligence provided by the present invention;

[0044] Figure 2 It is a flowchart of an auxiliary design method based on artificial intelligence provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0046] See Figure 1 As shown, the present invention discloses an auxiliary design device based on artificial intelligence, including: an AI module for establishing an AI creative generation platform;

[0047] Among them, the AI creative generation platform includes a user creation information acquisition module, a data acquisition module, a feature extraction module, a creative picture generation module, a creative picture adjustment module, and a display module that are connected in sequence;

[0048] The user creation information acquisition module is used to obtain user creation information by transmitting user instructions;

[0049] The data acquisition module is used to obtain design operation information;

[0050] The feature extraction module is used to extract operation features from the obtained design operation information;

[0051] The creative picture generation module is used to identify user creation information based on operation features and generate creative pictures;

[0052] The creative picture adjustment module is used to perform secondary drawing fine-tuning on the creative pictures to generate final creative pictures;

[0053] The display module is used to display the final creative pictures.

[0054] Further, the specific content of obtaining user creation information is as follows:

[0055] The user creation information acquisition module is used to interact with the user terminal, transmit user instructions through the API interface, and obtain user creation information.

[0056] Further, the specific content of extracting operation features from the obtained design operation information is as follows:

[0057] Extract operation features by detecting key points or feature regions in the design operation information. The key points or feature regions include: color combination, line style, shape combination, and layout structure, and can intelligently identify and extract these elements as operation features to provide a basis for subsequent image generation.

[0058] Further, the method of extracting operation features: adopt image processing and artificial intelligence technologies. First, preprocess the design operation information, including denoising and enhancing contrast; then use deep learning algorithms to extract features from the preprocessed design operation information, and can automatically identify and extract color combination, line style, shape combination, and layout structure.

[0059] Specifically, this method also has high flexibility and adaptability, and can intelligently adjust the parameters and strategies of feature extraction according to different user instructions and design requirements to achieve more personalized and accurate design assistance.

[0060] Further, the specific content of identifying user creation information based on operation features and generating creative pictures is as follows: User creation information includes: creative text information and creative manuscript information;

[0061] First, parse the creative text information and creative manuscript information input by the user. For the creative text information, identify the text content, font style, and font size, and build the framework and style of the picture based on this information;

[0062] For the creative manuscript information, extract the lines, shapes, and colors in the manuscript through image recognition technology to improve the details and expressiveness of the picture;

[0063] Generate creative pictures through the above content.

[0064] Specifically, based on the identification of user creation information, combined with the previously extracted operation features, such as color combination, line style, shape combination, and layout structure, etc., use advanced image generation algorithms to automatically generate creative pictures that highly match the user's needs. These pictures not only accurately convey the user's creative intention, but also enhance the artistic effect and ornamental value of the pictures through intelligent processing.

[0065] Further, the specific content of performing secondary drawing fine-tuning on the creative picture to generate the final creative picture is as follows:

[0066] When receiving the secondary drawing fine-tuning instruction, obtain the editing information of the creative picture;

[0067] According to the secondary drawing fine-tuning instruction, fine-tune the editing data in the editing information to generate fine-tuned editing information;

[0068] According to the fine-tuned editing information, perform secondary creation on the creative picture to obtain the final creative picture.

[0069] Specifically, when receiving the secondary drawing fine-tuning instruction, obtain the historical drawing information of the creative picture, and obtain the fine-tuning information in the secondary drawing fine-tuning instruction. Modify the editing information according to the corresponding historical drawing information in the fine-tuning information, that is, the editing information is modified according to the fine-tuning information in the fine-tuning instruction to generate the modified editing information. Then, according to the fine-tuned editing information, modify and edit the creative picture to implement the fine-tuning process of the creative picture and obtain the final creative picture.

[0070] In a specific embodiment, the original information corresponding to the creative picture can also be modified and edited according to the fine-tuned editing information to implement the fine-tuning process of the creative picture. For example, when the user adjusts the saturation, contrast, color, picture structure, etc., when the user wants to perform fine-tuning on the creative picture after completing the creation, the present invention can directly perform fine-tuning in the editing information, and then edit the creative picture according to the fine-tuned editing information to implement the fine-tuning process of the creative picture and obtain the final creative picture, thereby saving the creation operation steps and improving the user experience.

[0071] Further, the editing information includes: the layout of the picture, saturation parameters, contrast parameters, vignetting parameters, watermark information, and line parameters.

[0072] Further, the display module adopts a 12.5-inch touch display panel with the model number XK-DST121VH.

[0073] Specifically, the display module is used to display the final creative picture provided to the user. The display module includes a display panel, and the display panel can be configured in the form of a liquid crystal display (LCD), an organic light-emitting diode (OLED), etc.

[0074] And Figure 1 Corresponding to the Figure 1The specific implementation of the device, for the method flow chart, please refer to Figure 2 as shown below, which includes the following steps:

[0075] Establish an AI creative generation platform, where the AI creative generation platform includes a user creation information acquisition module, a data acquisition module, a feature extraction module, a creative image generation module, a creative image adjustment module, and a display module that are connected in sequence;

[0076] Use the user creation information acquisition module to obtain user creation information by transmitting user instructions;

[0077] Use the data acquisition module to obtain design operation information;

[0078] Use the feature extraction module to extract operation features from the obtained design operation information;

[0079] Use the creative image generation module to identify the user creation information based on the extracted operation features and generate creative images;

[0080] Use the creative image adjustment module to perform secondary drawing fine-tuning on the creative images to generate the final creative images;

[0081] Use the display module to display the final creative images.

[0082] In this specification, each embodiment is described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. The same or similar parts among the embodiments can be referred to each other. For the methods disclosed in the embodiments, since they correspond to the devices disclosed in the embodiments, the description is relatively simple. For the relevant parts, please refer to the description in the method part.

[0083] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be obvious to those skilled in the art. The general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to these embodiments shown herein, but will be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An artificial intelligence-based auxiliary design device, characterized in that: include: AI module, used to build an AI creative generation platform; Among them, the AI ​​creative generation platform includes a user creation information acquisition module, a data acquisition module, a feature extraction module, a creative image generation module, a creative image adjustment module and a display module which are connected in sequence; A user creation information acquisition module, used to acquire user creation information by transmitting user instructions; A data acquisition module, used to acquire design operation information; A feature extraction module, used for extracting operation features from the acquired design operation information; A creative picture generation module is used to identify user creation information based on operation characteristics and generate creative pictures; The creative picture adjustment module is used to perform secondary drawing and fine-tuning on the creative picture to generate the final creative picture; The display module is used to display the final creative picture.

2. The artificial intelligence-based auxiliary design device according to claim 1, characterized in that: The specific content of obtaining user creation information is: The user creation information acquisition module is used to interact with the user end, transmit user instructions through the API interface, and obtain user creation information.

3. The artificial intelligence-based auxiliary design device according to claim 1, characterized in that: The specific contents of extracting operation features from the acquired design operation information are as follows: Operation features are extracted by detecting key points or feature areas in the design operation information. Key points or feature areas include: color matching, line style, shape combination and layout structure. These elements can be intelligently identified and extracted as operation features, providing a basis for subsequent image generation.

4. The artificial intelligence-based auxiliary design device according to claim 3, characterized in that: Method for extracting operation features: Using image processing and artificial intelligence technology, the design operation information is first pre-processed, including denoising and contrast enhancement; then the deep learning algorithm is used to extract features of the pre-processed design operation information, which can automatically identify and extract color matching, line style, shape combination and layout structure.

5. The artificial intelligence-based auxiliary design device according to claim 1, characterized in that: Based on the operation characteristics, the user creation information is identified, and the specific content of the creative picture is generated as follows: the user creation information includes: creative text information and creative manuscript information; First, the creative text information and creative manuscript information input by the user are parsed. For the creative text information, the text content, font style, and font size are identified, and the framework and style of the picture are constructed based on this information; For creative manuscript information, we use image recognition technology to extract the lines, shapes, and colors in the manuscripts to improve the details and expressiveness of the pictures; Generate creative pictures through the above content.

6. The artificial intelligence-based auxiliary design device according to claim 1, characterized in that: The creative picture is redrawn and fine-tuned to generate the final creative picture. The specific content is as follows: When receiving a secondary drawing fine-tuning instruction, obtaining editing information of the creative image; According to the secondary drawing fine-tuning instruction, the editing data in the editing information is fine-tuned to generate the fine-tuned editing information; According to the fine-tuned editing information, the creative picture is re-created to obtain the final creative picture.

7. The artificial intelligence-based auxiliary design device according to claim 1, characterized in that: The editing information includes: picture layout, saturation parameters, contrast parameters, vignette parameters, watermark information, and line parameters.

8. The artificial intelligence-based auxiliary design device according to claim 1, characterized in that: The display module uses a 12.5-inch touch display panel with model number XK-DST121VH.

9. An artificial intelligence-based auxiliary design method, characterized in that The artificial intelligence-based auxiliary design device according to any one of claims 1 to 8 is applied, comprising the following steps: Establishing an AI creative generation platform, wherein the AI ​​creative generation platform includes a user creation information acquisition module, a data acquisition module, a feature extraction module, a creative image generation module, a creative image adjustment module and a display module connected in sequence; Utilize the user creation information acquisition module to acquire user creation information by transmitting user instructions; Using the data acquisition module to obtain design operation information; Extracting operation features from the acquired design operation information using a feature extraction module; The creative picture generation module is used to identify the user creation information through the extracted operation features and generate creative pictures; Use the creative picture adjustment module to perform secondary drawing and fine-tuning on the creative picture to generate the final creative picture; Use the display module to display the final creative picture.

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