Multi-modal interactive learning auxiliary system based on artificial intelligence

Abstract

The invention relates to the technical field of artificial intelligence, computer vision, voice processing and projection display, in particular to a multi-mode interactive learning auxiliary system based on artificial intelligence, which comprises an integrated camera module, a central control module, a projection module, an audio control module, a power management module and a wireless connection module. The system realizes intelligent processing, voice interaction and projection display functions of written information, has an ecological system including a product terminal, a software application APP, a product management background server and third-party large model service access, has strong system information processing capability, and improves user experience and learning efficiency.

Description

Technical Field

[0001] The present invention relates to the technical fields of artificial intelligence, computer vision, speech processing, and projection display. Specifically, it relates to a multi-modal interactive learning assistance system based on artificial intelligence, which is used to implement intelligent processing of written information, voice interaction, and projection display functions. Background Art

[0002] Currently, traditional learning assistance tools (such as electronic dictionaries, learning machines, etc.) have single functions and usually only support text input and simple query functions, unable to meet users' needs for multi-modal interaction (such as the combination of voice, image, and text). In addition, existing technologies lack the ability to efficiently combine OCR (Optical Character Recognition) with large AI models when processing complex written information, resulting in low information processing efficiency and poor user experience. Therefore, there is an urgent need for a learning assistance system that can integrate multi-modal interaction, intelligent information processing, and projection display. Therefore, those skilled in the art have provided a multi-modal interactive learning assistance system based on artificial intelligence to solve the problems raised in the above background art. Summary of the Invention

[0003] To solve the above technical problems, the present invention provides a multi-modal interactive learning assistance system based on artificial intelligence. By integrating a camera module, a central control module, a projection module, an audio control module, a power management module, and a wireless connection module, it realizes intelligent processing of written information, voice interaction, and projection display functions. It has an ecosystem including product terminals, software application APPs, product management background servers, and third-party large model service access, improving user experience and learning efficiency.

[0004] Preferably: The camera module adopts CMOS sensing technology for collecting written information. The central control module includes OCR algorithms, large model API access, and text-to-speech technology.

[0005] Preferably: The projection module adopts DLP or Micro LED technology for displaying the processed text information. The audio control module supports voice command input and voice broadcast, and adopts ENC and ANC technologies.

[0006] Preferably: The power management module adopts low-power management technology, and the wireless connection module supports Wi-Fi, Bluetooth, and Cat.4 network connections.

[0007] Technical Effects and Advantages of the Present Invention

[0008] 1. High-precision image acquisition is achieved by adopting CMOS sensing technology;

[0009] 2. Identify and process written information through the OCR algorithm, access the large model API, use the text-to-text algorithm, information reduction algorithm, and model matching technology to deeply process the information, and generate voice output through the text-to-speech technology;

[0010] 3. Adopt DLP or Micro LED technology to display the processed text information in a projection form;

[0011] 4. Support voice command input and voice broadcast of processing results, and adopt ENC (Environmental Noise Cancellation) and ANC (Active Noise Cancellation) technologies to improve the quality of voice interaction;

[0012] 5. Adopt low-power management (LPM) technology to provide efficient power supply for the entire system;

[0013] 6. Support Wi-Fi, Bluetooth, and Cat.4 network connections to achieve data transmission and access to cloud services. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 is a module connection diagram of a multi-modal interactive learning assistance system based on artificial intelligence provided by an embodiment of the present application;

[0015] Figure 2 is a system structure diagram of a multi-modal interactive learning assistance system based on artificial intelligence provided by an embodiment of the present application;

[0016] Figure 3 is a system working flow diagram of a multi-modal interactive learning assistance based on artificial intelligence provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] The present invention will be further described in detail below with reference to the drawings and specific embodiments. The embodiments of the present invention are given for purposes of illustration and description, and are not intended to be exhaustive or to limit the invention to the disclosed form. Many modifications and variations are obvious to those of ordinary skill in the art. The embodiments are selected and described to better illustrate the principles of the invention and its practical applications, and to enable those of ordinary skill in the art to understand the invention and design various embodiments with various modifications suitable for specific purposes.

[0018] Embodiment

[0019] Please refer to Figures 1 to 3, in this embodiment, a multi-modal interactive learning assistance system based on artificial intelligence is provided. By integrating a camera module, a central control module, a projection module, an audio control module, a power management module, and a wireless connection module, it realizes the intelligent processing of written information, voice interaction, and projection display functions. It has an ecosystem including product terminals, software application APPs, product management background servers, and third-party large model service access, enhancing the information processing ability of the system and improving user experience and learning efficiency;

[0020] Specifically, the camera module adopts CMOS sensing technology to collect written information. The user places the written material within the camera's viewfinder, and the system automatically identifies and captures the image;

[0021] The central control module includes OCR algorithms, large model API access, and text-to-speech technology. The OCR algorithm recognizes the text in the image, and the recognized text undergoes semantic analysis and information refinement through the large model API. The processing result generates voice output through text-to-speech technology;

[0022] The projection module adopts DLP or Micro LED technology to display the processed text information and projects the processed text information onto the display area specified by the user;

[0023] The audio control module supports voice command input and voice broadcast, and adopts ENC and ANC technologies. The user can interact with the system through voice commands, and the system broadcasts the processing result;

[0024] The power management module adopts low-power management technology, and the system is designed with low power consumption to support long-term operation;

[0025] The wireless connection module supports WIFI, Bluetooth, and Cat.4 network connections. The system connects to the network through Wi-Fi, Bluetooth, or wireless communication (4G / 5G, etc.) to achieve data transmission and cloud service access.

[0026] The working principle of the present invention is:

[0027] When using an AI-based multi-modal interactive learning assistance system, the user places the written material within the camera's viewfinder. The system automatically recognizes and captures the image. The OCR algorithm identifies the text in the image, and the recognized text undergoes semantic analysis and information refinement through the large model API. The processing result generates a voice output through the text-to-speech technology. The processed text information is projected onto the display area specified by the user through the projection module. Through the audio control module, the user can interact with the system via voice commands. The system announces the processing result and can connect to the network through a wireless connection mode, such as Wi-Fi, Bluetooth, or wireless communication (4G / 5G, etc.), to achieve data transmission and access to cloud services, enhancing the user experience and learning efficiency.

[0028] 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 and related fields without creative efforts shall fall within the scope of protection of the present invention. The structures, devices, and operation methods not specifically described and explained in the present invention shall be implemented according to the conventional means in the art without special instructions and limitations.

Claims

1. A multi-modal interactive learning assistance system based on artificial intelligence, characterized in that, It includes integrating a camera module, a central control module, a projection module, an audio control module, a power management module, and a wireless connection module to achieve intelligent processing of written information, voice interaction, and projection display functions. It has an ecosystem including product terminals, software application APPs, product management backend servers, and third-party large model service access, with strong system information processing capabilities, enhancing user experience and learning efficiency.

2. The multimodal interactive learning assistance system based on artificial intelligence according to claim 1, characterized in that, The camera module uses CMOS sensing technology to collect written information.

3. A multimodal interactive learning assistance system based on artificial intelligence according to claim 1, characterized in that, The central control module includes OCR algorithms, large model API access, and text-to-speech technology.

4. An artificial intelligence-based multi-modal interactive learning assistance system according to claim 1, characterized in that, The projection module uses DLP or Micro LED technology to display the processed text information.

5. An artificial intelligence-based multi-modal interactive learning assistance system according to claim 1, wherein, The audio control module supports voice command input and voice broadcast, and uses ENC and ANC technologies.

6. An artificial intelligence-based multimodal interactive learning assistance system according to claim 1, characterized in that, The power management module uses low-power management technology.

7. An artificial intelligence-based multi-modal interactive learning assistance system according to claim 1, characterized in that, The wireless connection module supports Wi-Fi, Bluetooth, and Cat.4 network connections.

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