Multimedia teaching system with character and image recognition function

Abstract

The invention belongs to the technical field of character and image recognition, and particularly relates to a multimedia teaching system with a character and image recognition function. Comprising a user interface module, an image recognition module, a voice recognition and synthesis module, a database management module, a content management module, a learning analysis module, a network communication module, a security and authority management module and a feedback and evaluation module, the image recognition module is responsible for processing images from a camera or other input equipment and recognizing and extracting characters in the images by using an optical character recognition technology, and the voice recognition and synthesis module recognizes voice input of a user and converts voice into texts. According to the invention, by integrating a plurality of advanced technologies, an omnibearing and highly interactive teaching environment is provided, the teaching efficiency can be significantly improved, the learning experience of students can be enhanced, and teachers can be helped to make data-driven decisions.

Description

Technical Field

[0001] The invention belongs to the technical field of text image recognition, and in particular relates to a multimedia teaching system with a text image recognition function. Background Art

[0002] Multimedia teaching system is an information technology system that integrates multiple media forms such as text, images, audio, video and animation into teaching activities. It aims to improve teaching effectiveness and enhance students' learning experience. It is widely used in various educational environments such as school classrooms, online education platforms and corporate training. The main feature of this system is its interactivity. Students can interact with the teaching materials through the system to improve their understanding and memory. In addition, multimedia teaching systems usually contain a large amount of multimedia materials, providing rich and diverse learning content, allowing teachers to flexibly adjust the teaching rhythm and content according to teaching objectives and student needs, and even update course materials in real time.

[0003] The teaching resource formats of existing multimedia teaching systems are diverse and not unified, and there is a lack of cross-format processing and compatible management systems. Manual processing of text information in images is time-consuming and error-prone, and there is a lack of effective automation tools. Teaching systems usually lack diverse interactive means, which limits user experience and teaching effectiveness. The teaching feedback mechanism is often lagging, and the interaction between students and teachers lacks real-time and flexibility. Learning data is scattered and lacks systematic collection and analysis, making it difficult to support data-driven decision-making and personalized teaching. The system supports a limited number of simultaneous online users, making it difficult to achieve large-scale real-time interaction and collaborative learning. To this end, we propose a multimedia teaching system with text image recognition function to solve the above problems. Summary of the invention

[0004] The purpose of the present invention is to provide a multimedia teaching system with text and image recognition function, which can provide an all-round and highly interactive teaching environment by integrating multiple advanced technologies, significantly improve teaching efficiency, enhance students' learning experience, and help teachers make data-driven decisions.

[0005] The technical solution adopted by the present invention is as follows: A multimedia teaching system with text and image recognition function includes a user interface module, an image recognition module, a speech recognition and synthesis module, a database management module, a content management module, a learning analysis module, a network communication module, a security and authority management module, and a feedback and evaluation module. The user interface module provides a graphical interface for users to interact with the system. The image recognition module is responsible for processing images from a camera or other input devices and uses optical character recognition technology to recognize and extract text in the image. The speech recognition and synthesis module recognizes the user's voice input and converts the voice into text. The database management module is used to store and manage teaching resources. The content management module is used to organize and manage multimedia teaching content. The learning analysis module collects and analyzes students' learning data. The network communication module supports multi-user online learning and real-time teaching by teachers. The security and authority management module manages access rights and functional rights of different users. The feedback and evaluation module provides teachers with feedback and evaluation functions on students' learning.

[0006] In a preferred embodiment, a multimedia teaching system with a text image recognition function, the operation of the multimedia teaching system includes the following steps: Step 1. User login and authentication: The user enters the user name and password through the interface module, and the security and authority management module verifies the user's identity; Step 2. Resource preparation and loading: Users load or create the multimedia teaching content they need to use through the content management module, and the database management module stores and reads related resources; Step 3. Text image upload and recognition: The user uploads an image containing text through the interface module, and the image recognition module uses OCR technology to recognize the text in the image and convert it into editable text; Step 4. Content display and interaction: Users browse and interact with learning content through the user interface; Step 5. Real-time teaching and communication: The network communication module supports real-time interaction between teachers and students, and the learning analysis module monitors the learning process in real time and provides data support; Step 6. Learning activities and records: Students conduct online learning activities, and the system records learning progress and achievements; Step 7. Feedback and evaluation: Teachers use the feedback and evaluation module to provide students with learning feedback, and students provide feedback on course content or teaching methods through the system; Step 8. Result analysis and report generation: The learning analytics module summarizes the data and generates a student performance analysis report.

[0007] In a preferred embodiment, the user login and authentication also includes the system first performing format verification to check whether the user name and password conform to the specified format. The credentials entered by the user are encrypted through a security protocol and transmitted to the server. After the security and authority management module receives the credentials, it compares them with the user information stored in the database. If the credential verification is successful, the system further checks the user's access rights and allocates rights according to the user role. The system generates a session ID for the user who has successfully logged in. The user interface module updates to notify the user of a successful login and redirects to the appropriate application main interface or user dashboard. If the login fails, the system provides detailed error information.

[0008] In a preferred embodiment, the resource preparation and loading also includes after logging in, the user navigates to the content management module of the system, the user chooses whether to create new content or load existing content, if new content is to be created, the user chooses to upload files, record demonstrations, or edit new materials through tools provided by the system, the user uploads multimedia files through the content management module, the system automatically checks whether the uploaded file format is compatible, and performs necessary format conversions, after processing, the content is transferred to the database management module for storage, the system indexes newly uploaded or existing resources, after completion, the user views the uploaded content in the content management module, and performs a preview test to ensure that it is displayed correctly.

[0009] In a preferred embodiment, the text image uploading and recognition also includes the user navigating to the image upload module in the system interface, the image recognition module preprocessing the uploaded image, the preprocessed image undergoing text recognition through OCR technology, the OCR engine scanning the image, locating the text area, and converting the image text into machine-readable text, the extracted text undergoing further processing, including correcting recognition errors, removing redundant spaces, and identifying paragraph and title structures, and the recognized text is stored in a database.

[0010] In a preferred embodiment, the content display and interaction also includes the user logging into the multimedia teaching platform and entering the content display module. The user browses various learning content on the user interface, including text, images, videos and other multimedia forms. After the user selects specific learning content, the system retrieves and loads related resources from the database and presents them to the user on the interface. The learning content involves voice input. The user inputs voice through a microphone. The voice recognition module converts the audio signal into text for searching or executing voice commands. The user requests to convert the text content into voice playback. The voice synthesis module generates natural speech for output. The system embeds targeted exercises or tests in the learning content. The user completes and submits the answers through the interface, and the system provides scoring and feedback in real time.

[0011] In a preferred embodiment, the real-time teaching and communication also includes teachers and students logging into the real-time teaching platform, teachers planning and arranging live courses through the teaching platform, setting the time, date and expected participating students, teachers starting live video broadcast, network communication module processing real-time video and voice transmission, teachers sharing the screen to display slides, presentation documents or other materials on the computer screen, learning analysis module running in the background, real-time collection and analysis of student participation data, including attendance time, interaction frequency, speed and accuracy of answering questions, after the course, teachers and students can continue to discuss on the platform, using forums or message functions to maintain communication.

[0012] In a preferred embodiment, the learning activities and records also include students selecting learning activities of interest from the provided activity options, including online answering, virtual experiments, case analysis or other interactive exercises. Students start the activity, the system loads the resources and instructions required for the activity, and students perform various interactions during the activity, including selecting answers, performing operations, filling out forms or participating in simulated decision-making. The system provides real-time feedback based on the students' activities, including error prompts, suggestions for solving problems or enhanced information after success. The system monitors the students' learning progress and behavior through the learning analysis module. After completion, the system automatically evaluates the students' performance and stores the results in a database. The learning analysis module summarizes and processes all recorded data to generate reports for use by teachers and course designers.

[0013] In a preferred embodiment, the feedback and evaluation also includes teachers using the data and analysis reports provided by the system to view each student's academic performance, activity participation and interaction records. Based on these data, teachers write detailed evaluation reports, including specific praise, suggestions and constructive feedback. Teachers provide personalized feedback information for each student. After completing the evaluation, teachers publish feedback in the system.

[0014] In a preferred embodiment, the result analysis and report generation also includes a learning analysis module that collects all relevant data of students from different learning activities, including homework scores, test scores, number of participations, time spent, interaction frequency, and online activity completion status. The system uses a variety of data analysis techniques to analyze the processed data, including student performance comparison, learning behavior pattern recognition, progress trend analysis, and weakness and strength identification. The system automatically generates a student performance analysis report based on the analysis results, including personal performance and behavior charts, visual displays of learning progress and trends, and suggestions and conclusions.

[0015] The technical effects achieved by the present invention are: Through strict identity authentication and encryption, the security of user information is ensured, and appropriate access rights are assigned according to roles to ensure system security and data privacy. It provides powerful content management functions, allowing users to easily create, upload, edit, and preview multimedia learning resources. It supports content in various formats to improve the quality and diversity of teaching resources. It uses OCR technology to convert text in images into editable text, simplifying information entry and document management, improving efficiency, and facilitating subsequent content editing and use. The system uses browsing, speech recognition, and speech synthesis technologies to add diverse interaction methods, improve user experience, and make learning and operation more convenient and user-friendly. It supports real-time interaction between teachers and students in live courses, and tracks and analyzes the learning process in real time, providing students with instant feedback and help to promote active learning. The learning analysis module conducts in-depth analysis of students' learning data, identifies learning patterns, individual weaknesses and strengths, and generates detailed performance reports to provide data support for teaching decisions; Providing detailed assessment tools, teachers can provide students with specific, personalized feedback and evaluation, which helps students improve their learning in a targeted manner and improve learning outcomes. It supports online learning and real-time teaching for multiple users, promotes the effective sharing and utilization of resources, and improves the efficiency of collaborative learning. The system comprehensively records students' learning activities and interactions, provides reliable data support for future learning path and habit analysis, helps optimize the learning experience, manages access rights for different users, ensures stable operation of the system and data security, and supports the multi-level user management needs of schools or institutions. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of a multimedia teaching system with a text and image recognition function of the present invention; Figure 2 It is a schematic diagram of the operation of a multimedia teaching system with a text and image recognition function according to the present invention. DETAILED DESCRIPTION

[0017] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0018] See also Figure 1-2As shown, the present invention provides a multimedia teaching system with text and image recognition function, including a user interface module, an image recognition module, a speech recognition and synthesis module, a database management module, a content management module, a learning analysis module, a network communication module, a security and authority management module, and a feedback and evaluation module. The user interface module provides a graphical interface for users to interact with the system. The image recognition module is responsible for processing images from a camera or other input devices, and uses optical character recognition technology to recognize and extract text in the image. The speech recognition and synthesis module recognizes the user's voice input and converts the voice into text. The database management module is used to store and manage teaching resources. The content management module is used to organize and manage multimedia teaching content. The learning analysis module collects and analyzes students' learning data. The network communication module supports multi-user online learning and teachers' real-time teaching. The security and authority management module manages the access rights and functional permissions of different users. The feedback and evaluation module provides teachers with feedback and evaluation functions for students' learning.

[0019] A multimedia teaching system with a text and image recognition function, wherein the operation of the multimedia teaching system includes the following steps: Step 1. User login and authentication: The user enters the user name and password through the interface module, and the security and authority management module verifies the user's identity; Step 2. Resource preparation and loading: Users load or create the multimedia teaching content they need to use through the content management module, and the database management module stores and reads related resources; Step 3. Text image upload and recognition: The user uploads an image containing text through the interface module, and the image recognition module uses OCR technology to recognize the text in the image and convert it into editable text; Step 4. Content display and interaction: Users browse and interact with learning content through the user interface; Step 5. Real-time teaching and communication: The network communication module supports real-time interaction between teachers and students, and the learning analysis module monitors the learning process in real time and provides data support; Step 6. Learning activities and records: Students conduct online learning activities, and the system records learning progress and achievements; Step 7. Feedback and evaluation: Teachers use the feedback and evaluation module to provide students with learning feedback, and students provide feedback on course content or teaching methods through the system; Step 8. Result analysis and report generation: The learning analytics module summarizes the data and generates a student performance analysis report.

[0020] User login and authentication also includes the system first performing format verification to check whether the username and password conform to the specified format. The credentials entered by the user are encrypted through a security protocol and transmitted to the server. After the security and permission management module receives the credentials, it compares them with the user information stored in the database. If the credential verification is successful, the system further checks the user's access rights and assigns permissions based on the user role. The system generates a session ID for the user who has successfully logged in. The user interface module updates to notify the user of a successful login and redirects to the appropriate application main interface or user dashboard. If the login fails, the system provides detailed error information.

[0021] Resource preparation and loading also includes after logging in, the user navigates to the content management module of the system, the user chooses whether to create new content or load existing content, if new content is to be created, the user chooses to upload files, record demonstrations, or edit new materials through the tools provided by the system, the user uploads multimedia files through the content management module, the system automatically checks whether the uploaded file format is compatible, and performs necessary format conversions, after processing, the content is transferred to the database management module for storage, the system indexes newly uploaded or existing resources, after completion, the user views the uploaded content in the content management module, and performs a preview test to ensure that it is displayed correctly.

[0022] Text image uploading and recognition also includes the user navigating to the image upload module in the system interface, the image recognition module preprocessing the uploaded image, the preprocessed image using OCR technology for text recognition, the OCR engine scanning the image, locating the text area, and converting the image text into machine-readable text. The extracted text is further processed, including correcting recognition errors, removing unnecessary spaces, and identifying paragraph and title structures. The recognized text is stored in the database.

[0023] Content display and interaction also includes users logging into the multimedia teaching platform and entering the content display module. Users browse various learning content on the user interface, including text, images, videos and other multimedia forms. After the user selects specific learning content, the system retrieves and loads relevant resources from the database and presents them to the user on the interface. The learning content involves voice input. The user inputs voice through a microphone. The voice recognition module converts the audio signal into text for searching or executing voice commands. The user requests to convert the text content into voice playback. The voice synthesis module generates natural speech for output. The system embeds targeted exercises or tests in the learning content. The user completes and submits the answers through the interface, and the system provides real-time scoring and feedback.

[0024] Real-time teaching and communication also includes teachers and students logging into the real-time teaching platform. Teachers plan and arrange live courses through the teaching platform, set the time, date and expected participating students, teachers start live video broadcast, the network communication module handles real-time video and voice transmission, teachers share the screen to show slides, presentation documents or other materials on the computer screen, and the learning analysis module runs in the background to collect and analyze students' participation data in real time, including attendance time, interaction frequency, speed and accuracy of answering questions. After the course, teachers and students can continue to discuss on the platform and use forums or message functions to maintain communication.

[0025] Learning activities and records also include students selecting learning activities of interest from the provided activity options, including online answering, virtual experiments, case analysis or other interactive exercises. Students start the activity, the system loads the resources and instructions required for the activity, and students perform various interactions during the activity, including selecting answers, performing operations, filling out forms or participating in simulated decision-making. The system provides real-time feedback based on students' activities, including error prompts, suggestions for solving problems or enhanced information after success. The system monitors students' learning progress and behavior through the learning analysis module. After completion, the system automatically evaluates students' performance and stores the results in the database. The learning analysis module summarizes and processes all recorded data to generate reports for teachers and course designers to use.

[0026] Feedback and evaluation also include teachers using the data and analysis reports provided by the system to view each student's academic performance, activity participation and interaction records. Based on these data, teachers write detailed evaluation reports, including specific praise, suggestions and constructive feedback. Teachers provide personalized feedback information for each student. After completing the evaluation, teachers publish feedback in the system.

[0027] Result analysis and report generation also includes the learning analysis module that collects all relevant student data from different learning activities, including homework scores, test scores, participation times, time spent, interaction frequency, and online activity completion status. The system uses a variety of data analysis techniques to analyze the processed data, including student performance comparison, learning behavior pattern recognition, progress trend analysis, and weakness and strength identification. The system automatically generates a student performance analysis report based on the analysis results, including personal performance and behavior charts, visual displays of learning progress and trends, and suggestions and conclusions.

[0028] In the present invention, strict identity authentication and encryption are used to ensure the security of user information, and appropriate access rights are assigned according to roles to ensure system security and data privacy. A powerful content management function is provided, so that users can easily create, upload, edit, and preview multimedia learning resources, support content in various formats, and improve the quality and diversity of teaching resources. OCR technology is used to convert text in images into editable text, simplify information entry and document management, improve efficiency, and facilitate subsequent content editing and use; The system uses browsing, speech recognition, and speech synthesis technologies to add diverse interaction methods, improve user experience, and make learning and operation more convenient and user-friendly. It supports real-time interaction between teachers and students in live courses, and tracks and analyzes the learning process in real time, providing students with instant feedback and help to promote active learning. The learning analysis module conducts in-depth analysis of students' learning data, identifies learning patterns, individual weaknesses and strengths, and generates detailed performance reports to provide data support for teaching decisions; Providing detailed assessment tools, teachers can provide students with specific, personalized feedback and evaluation, which helps students improve their learning in a targeted manner and improve learning outcomes. It supports online learning and real-time teaching for multiple users, promotes the effective sharing and utilization of resources, and improves the efficiency of collaborative learning. The system comprehensively records students' learning activities and interactions, provides reliable data support for future learning path and habit analysis, helps optimize the learning experience, manages access rights for different users, ensures stable operation of the system and data security, and supports the multi-level user management needs of schools or institutions.

[0029] The above is only a preferred embodiment of the present invention. It should be noted that, for those skilled in the art, several improvements and modifications can be made without departing from the principles of the present invention, and these improvements and modifications should also be considered as the protection scope of the present invention. The structures, devices and operating methods not specifically described and explained in the present invention shall be implemented according to the conventional means in the art unless otherwise specified and limited.

Claims

1. A multimedia teaching system with text and image recognition function, characterized in that: It includes a user interface module, an image recognition module, a speech recognition and synthesis module, a database management module, a content management module, a learning analysis module, a network communication module, a security and permission management module, and a feedback and evaluation module. The user interface module provides a graphical interface for users to interact with the system. The image recognition module is responsible for processing images from a camera or other input devices, and uses optical character recognition technology to recognize and extract text from images. The speech recognition and synthesis module recognizes the user's voice input and converts the voice into text. The database management module is used to store and manage teaching resources. The content management module is used to organize and manage multimedia teaching content. The learning analysis module collects and analyzes students' learning data. The network communication module supports multi-user online learning and real-time teaching by teachers. The security and permission management module manages access rights and functional permissions of different users. The feedback and evaluation module provides teachers with feedback and evaluation functions for students' learning.

2. A multimedia teaching system with text and image recognition function according to claim 1, characterized in that: The operation of the multimedia teaching system includes the following steps: Step 1. User login and authentication: The user enters the user name and password through the interface module, and the security and authority management module verifies the user's identity; Step 2. Resource preparation and loading: Users load or create the multimedia teaching content they need to use through the content management module, and the database management module stores and reads related resources; Step 3. Text image upload and recognition: The user uploads an image containing text through the interface module, and the image recognition module uses OCR technology to recognize the text in the image and convert it into editable text; Step 4. Content display and interaction: Users browse and interact with learning content through the user interface; Step 5. Real-time teaching and communication: The network communication module supports real-time interaction between teachers and students, and the learning analysis module monitors the learning process in real time and provides data support; Step 6. Learning activities and records: Students conduct online learning activities, and the system records learning progress and achievements; Step 7. Feedback and evaluation: Teachers use the feedback and evaluation module to provide students with learning feedback, and students provide feedback on course content or teaching methods through the system; Step 8. Result analysis and report generation: The learning analytics module summarizes the data and generates a student performance analysis report.

3. A multimedia teaching system with text and image recognition function according to claim 2, characterized in that: The user login and authentication also includes the system first performing format verification to check whether the username and password conform to the specified format. The credentials entered by the user are encrypted through a security protocol and transmitted to the server. After the security and authority management module receives the credentials, it compares them with the user information stored in the database. If the credential verification is successful, the system further checks the user's access rights and allocates rights according to the user role. The system generates a session ID for the user who has successfully logged in. The user interface module updates to notify the user of a successful login and redirects to the appropriate application main interface or user dashboard. If the login fails, the system provides detailed error information.

4. The multimedia teaching system with text and image recognition function according to claim 2 is characterized in that: The resource preparation and loading also includes after logging in, the user navigates to the content management module of the system, the user chooses whether to create new content or load existing content, if new content is to be created, the user chooses to upload files, record demonstrations, or edit new materials through tools provided by the system, the user uploads multimedia files through the content management module, the system automatically checks whether the uploaded file format is compatible, and performs necessary format conversions, after processing, the content is transferred to the database management module for storage, the system indexes newly uploaded or existing resources, and after completion, the user views the uploaded content in the content management module and performs a preview test to ensure that it is displayed correctly.

5. The multimedia teaching system with text and image recognition function according to claim 2 is characterized in that: The text image uploading and recognition also includes the user navigating to the image upload module in the system interface, the image recognition module preprocessing the uploaded image, the preprocessed image using OCR technology for text recognition, the OCR engine scanning the image, locating the text area, and converting the image text into machine-readable text, the extracted text is further processed, including correcting recognition errors, removing unnecessary spaces, and identifying paragraph and title structures, and the recognized text is stored in a database.

6. The multimedia teaching system with text and image recognition function according to claim 2 is characterized in that: The content display and interaction also includes the user logging into the multimedia teaching platform and entering the content display module. The user browses various learning content on the user interface, including text, images, videos and other multimedia forms. After the user selects specific learning content, the system retrieves and loads related resources from the database and presents them to the user on the interface. The learning content involves voice input. The user inputs voice through a microphone. The voice recognition module converts the audio signal into text for searching or executing voice commands. The user requests to convert the text content into voice playback. The voice synthesis module generates natural speech for output. The system embeds targeted exercises or tests in the learning content. The user completes and submits the answers through the interface, and the system provides scoring and feedback in real time.

7. The multimedia teaching system with text and image recognition function according to claim 2 is characterized in that: The real-time teaching and communication also includes teachers and students logging into the real-time teaching platform, teachers planning and arranging live courses through the teaching platform, setting the time, date and expected participating students, teachers starting live video broadcast, network communication module processing real-time video and voice transmission, teachers sharing the screen to display slides, presentation documents or other materials on the computer screen, learning analysis module running in the background, real-time collection and analysis of student participation data, including attendance time, interaction frequency, speed and accuracy of answering questions, after the course, teachers and students can continue to discuss on the platform, using forums or message functions to maintain communication.

8. The multimedia teaching system with text and image recognition function according to claim 2 is characterized in that: The learning activities and records also include students selecting learning activities of interest from the provided activity options, including online answering, virtual experiments, case analysis or other interactive exercises. Students start the activity, the system loads the resources and instructions required for the activity, and students perform various interactions during the activity, including selecting answers, performing operations, filling out forms or participating in simulated decision-making. The system provides real-time feedback based on students' activities, including error prompts, suggestions for solving problems or enhanced information after success. The system monitors students' learning progress and behavior through a learning analysis module. After completion, the system automatically evaluates students' performance and stores the results in a database. The learning analysis module summarizes and processes all recorded data to generate reports for use by teachers and course designers.

9. The multimedia teaching system with text and image recognition function according to claim 2 is characterized in that: The feedback and evaluation also includes teachers using the data and analysis reports provided by the system to view each student's academic performance, activity participation and interaction records. Based on these data, teachers write detailed evaluation reports, including specific praise, suggestions and constructive feedback. Teachers provide personalized feedback information for each student. After completing the evaluation, teachers publish feedback in the system.

10. The multimedia teaching system with text and image recognition function according to claim 2, characterized in that: The result analysis and report generation also includes a learning analysis module that collects all relevant student data from different learning activities, including homework scores, test scores, number of participations, time spent, interaction frequency, and online activity completion status. The system uses a variety of data analysis techniques to analyze the processed data, including student performance comparison, learning behavior pattern recognition, progress trend analysis, and weakness and strength identification. The system automatically generates a student performance analysis report based on the analysis results, including personal performance and behavior charts, visual displays of learning progress and trends, and suggestions and conclusions.

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