Artificial intelligence comprehensive training platform

Abstract

The invention discloses an artificial intelligence comprehensive training platform, relates to the technical field of uninterruptible power supply switching, and aims to solve the problem that most existing artificial intelligence teaching platforms focus on training of specific skills and are poor in performance in the aspect of human-computer interaction. The platform comprises a front-end interface, a voice recognition module, a database management system, a logic control center, an image recognition module, a mechanical arm and a tray used for bearing medicine, and the platform finds corresponding medicine through a voice recognition instruction. And the front-end interface is responsible for displaying information and receiving user input, so that a user can intuitively view medicine information and operation prompts. The method has the advantages that the man-machine interaction skill of student users in a multi-modal environment is improved, particularly the ability of completing specific tasks through real or simulated voice instructions is improved, and therefore the method can better adapt to various challenges possibly encountered in future work.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and more specifically, to an artificial intelligence comprehensive training platform. Background Art

[0002] With the continuous advancement of information technology, artificial intelligence (AI) technology is increasingly used in various fields, especially in the field of education. AI has become an important force in promoting educational reform and innovation. The traditional education model often focuses on the imparting of theoretical knowledge, while the cultivation of students' practical operation capabilities is relatively insufficient, which makes it difficult to meet the demand for compound talents in the new era. For this reason, a new teaching platform based on artificial intelligence has emerged, which has brought revolutionary changes to teaching with its high interactivity and flexibility.

[0003] At present, there are a variety of artificial intelligence teaching software for medicine on the market, such as programming language learning platforms, robot operation simulators, etc. These platforms have improved teaching efficiency and enriched teaching methods to a certain extent.

[0004] However, most of the existing artificial intelligence teaching platforms for medicine still focus on the training of specific skills and lack comprehensive teaching designs covering multiple skills. In terms of human-computer interaction, these platforms often perform poorly and cannot achieve natural and fluent language communication and complex task processing functions, thus affecting the learning effect and practical ability of student users. These problems limit the wide application and in-depth development of existing technologies in the field of education. In view of this, we propose an artificial intelligence comprehensive training platform. Summary of the invention

[0005] The purpose of the present invention is to provide an artificial intelligence comprehensive training platform, aiming to solve the problem that most existing artificial intelligence teaching platforms still focus on the training of specific skills and perform poorly in human-computer interaction.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: an artificial intelligence comprehensive training platform, which includes a front-end interface, a voice recognition module, a database management system, a logic control center, an image recognition module, a mechanical arm and a tray for holding medicines, and the platform finds corresponding medicines through voice recognition instructions;

[0007] The front-end interface is responsible for displaying information and receiving user input, so that users can intuitively view drug information and operation prompts;

[0008] The speech recognition module is used to capture the user's spoken commands and convert them into text form for subsequent processing by the logic control center;

[0009] The database management system is used to store relevant data of various types of drugs, including drug names, uses, and instructions for use, so as to quickly retrieve and provide information;

[0010] The logic control center is used to receive and analyze the commands transmitted by the voice recognition module, call the image recognition module to scan the tray area, locate the position of the medicine that meets the conditions, and control the mechanical arm to complete the picking action according to the predetermined path;

[0011] The image recognition module can scan the tray area, locate the location of the qualified medicine through image recognition technology, and transmit the location information to the logic control center;

[0012] The robotic arm approaches the target drug along a predetermined path according to the instructions of the logic control center, completes the picking action, and displays the picking result through the front-end interface.

[0013] Preferably, the front-end interface also has a user identity authentication function, which ensures that only authorized users can access and operate the platform by entering a username and password and using one or a combination of biometric technologies.

[0014] Preferably, the speech recognition module has noise suppression and echo cancellation functions, which are used to accurately capture the user's spoken commands in a noisy environment and improve the accuracy and stability of speech recognition.

[0015] Preferably, the database management system also includes a drug inventory management system for real-time monitoring of drug inventory, and automatically sending a replenishment reminder to the administrator when the inventory is lower than a preset threshold.

[0016] Preferably, the logic control center also has an intelligent learning function for analyzing user operating habits and drug usage frequency, optimizing the drug positioning algorithm and the movement path of the robotic arm, and improving operating efficiency and accuracy.

[0017] Preferably, the image recognition module also has a dynamic object tracking function, which is used to update and reposition the drug position in real time when the drug is moved or the position changes, ensuring that the robotic arm can accurately pick up the target drug.

[0018] Preferably, the image recognition module uses quantum dot enhancement technology to enhance sensitivity and resolution under low light conditions, ensuring accurate identification of drugs even in dim drug storage environments without being restricted by light.

[0019] Preferably, the platform has a multi-platform data synchronization function, can interact with mobile applications and cloud servers for data, and the platform comprehensively analyzes the user's learning progress and operating habits based on multi-platform data to provide personalized training plans.

[0020] Compared with the prior art, the present invention has the following beneficial effects:

[0021] 1. The present invention improves the human-computer interaction skills of student users in a multimodal environment, especially the ability to complete specific tasks through real or simulated voice commands, so as to better adapt to various challenges that may be encountered in future work. By integrating multiple technologies such as voice recognition, image recognition and robotic arms, natural and smooth human-computer interaction can be achieved. This highly interactive learning method not only improves the learning efficiency of student users, but also enhances their practical operation capabilities, meeting the demand for compound talents in the new era.

[0022] 2. Compared with the existing artificial intelligence teaching platform, the comprehensive training platform design of the present invention covers the training of multiple skills, avoiding the limitation of single skill training. Users can conduct diversified learning on the same platform, improve their comprehensive quality, and adapt to the needs of different fields.

[0023] 3. By integrating the drug inventory management system, the present invention enables the platform to monitor drug inventory in real time and automatically send replenishment reminders when the inventory is lower than a preset threshold. This function ensures the timeliness of drug supply and reduces the medical risks caused by drug shortages. At the same time, the user identity authentication function improves the security of the system, ensuring that only authorized users can access and operate the platform to prevent improper use.

[0024] 4. The present invention has an intelligent learning function, which can analyze the user's operating habits and frequency of drug use, thereby optimizing the drug positioning algorithm and the movement path of the robotic arm. This personalized learning experience not only improves operating efficiency and accuracy, but also can continuously optimize platform functions based on user feedback and data analysis, thereby improving the overall user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION

[0026] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0027] The present invention improves learning efficiency and practical ability by integrating technologies such as voice recognition, image recognition and mechanical arms, so that student users can operate and learn naturally in a highly interactive environment, meeting the needs of compound talents in the new era. Secondly, the platform design covers the training of multiple skills, avoiding the singleness of the traditional teaching model, and promoting the comprehensive quality development of student users. In addition, the intelligent inventory management function ensures the timely replenishment of medicines and reduces the risks in medical work. The personalized learning experience and intelligent optimization system enable the platform to continuously adjust and optimize according to the user's usage habits, improve the accuracy of operation and user satisfaction, and further enhance the depth and breadth of education. Through these functions, the platform not only promotes the innovation of education models, but also provides student users with a safer, more efficient and flexible learning experience.

[0028] Embodiment 1

[0029] by Figure 1 As shown, an artificial intelligence comprehensive training platform includes a front-end interface, a voice recognition module, a database management system, a logic control center, an image recognition module, a robotic arm and a tray for holding medicines. The platform finds corresponding medicines through voice recognition instructions.

[0030] The platform's front-end interface adopts an intuitive design that combines graphics and text so that users can easily view drug information, including drug name, purpose and instructions for use. In addition, the interface also provides operation prompts so that users can easily understand how to use the system.

[0031] The speech recognition module is equipped with advanced speech recognition technology that can capture the user's spoken commands and convert them into text for subsequent processing. It is also equipped with noise suppression and echo cancellation functions, which can accurately recognize instructions even in noisy environments, ensuring smooth user operations.

[0032] The database management system is responsible for storing relevant information of various medicines, including real-time updated drug inventory data. When the inventory level is lower than the preset threshold, the system will automatically send a replenishment reminder to the administrator, which can effectively prevent drug shortages and ensure the continuity of medical services.

[0033] The logic control center is the core of the system. It receives and analyzes commands from the voice recognition module and calls the image recognition module to locate the position of medicines on the tray. This center also has intelligent learning functions that can analyze users' operating habits and frequency of drug use, thereby optimizing the drug positioning algorithm and the movement path of the robotic arm, improving operational efficiency and accuracy.

[0034] The image recognition module can scan the tray area and locate the medicine in real time. It uses dynamic object tracking technology to quickly update information when the medicine moves or changes position, and transmits the positioning results to the logic control center. At the same time, the module uses quantum dot enhancement technology to enhance the sensitivity and resolution under low light conditions, ensuring accurate identification of medicines even in dim environments.

[0035] The robotic arm, based on the instructions from the logic control center, can accurately approach and pick up the target drugs; the results of each operation will be displayed on the front-end interface, which enhances the transparency of the process and facilitates post-inspection by users.

[0036] Through the above implementation methods, the artificial intelligence comprehensive training platform has achieved many significant beneficial effects. First, it improves the human-computer interaction skills of student users in a multimodal environment, especially the ability to complete specific tasks through real or simulated voice commands, so as to better adapt to various challenges that may be encountered in future work.

[0037] Secondly, the platform's friendly interface and voice recognition technology optimize the user experience, which is especially suitable for medical workers, reducing their workload and improving job satisfaction. In terms of security, the identity authentication function ensures that only authorized users can access the platform, reducing the risk of incorrect use of drugs and further ensuring patient safety.

[0038] The real-time drug inventory monitoring function effectively prevents drug shortages and ensures the reliability and continuity of medical services. The intelligent learning function enables the system to self-optimize, gradually adapt to and meet the personalized needs of users, so that operations are no longer fixed but can be adjusted according to specific circumstances, greatly improving work efficiency.

[0039] In addition, the reliability of the image recognition module under various environmental conditions ensures that it can still work efficiently when there is insufficient light or the position of the medicine changes, providing strong adaptability for the system. In general, the artificial intelligence comprehensive training platform is not only technologically advanced, but also can significantly improve the level of intelligence in drug management through multi-faceted integration.

[0040] The embodiments of the present invention disclose preferred embodiments, but are not limited thereto. A person skilled in the art can easily understand the spirit of the present invention based on the above embodiments and make different extensions and changes. However, as long as they do not deviate from the spirit of the present invention, they are all within the protection scope of the present invention.

Claims

1. An artificial intelligence comprehensive training platform, characterized in that: The platform includes a front-end interface, a voice recognition module, a database management system, a logic control center, an image recognition module, a robotic arm, and a tray for holding drugs. The platform finds the corresponding drugs through voice recognition instructions; The front-end interface is responsible for displaying information and receiving user input, so that users can intuitively view drug information and operation prompts; The speech recognition module is used to capture the user's spoken commands and convert them into text form for subsequent processing by the logic control center; The database management system is used to store relevant data of various types of drugs, including drug names, uses, and instructions for use, so as to quickly retrieve and provide information; The logic control center is used to receive and analyze the commands transmitted by the voice recognition module, call the image recognition module to scan the tray area, locate the position of the qualified medicine, and control the robot arm to complete the picking action according to the predetermined path; The image recognition module can scan the tray area, locate the location of the qualified medicine through image recognition technology, and transmit the location information to the logic control center; The robotic arm approaches the target drug along a predetermined path according to the instructions of the logic control center, completes the picking action, and displays the picking result through the front-end interface.

2. An artificial intelligence comprehensive training platform according to claim 1, characterized in that: The front-end interface also has a user identity authentication function, which ensures that only authorized users can access and operate the platform by entering a username and password and using one or a combination of biometric technology.

3. The artificial intelligence comprehensive training platform according to claim 1, characterized in that: The speech recognition module has noise suppression and echo cancellation functions, and is used to accurately capture the user's spoken commands in a noisy environment, thereby improving the accuracy and stability of speech recognition.

4. The artificial intelligence comprehensive training platform according to claim 1, characterized in that: The database management system also includes a drug inventory management system for real-time monitoring of drug inventory and automatically sending a replenishment reminder to the administrator when the inventory is below a preset threshold.

5. The artificial intelligence comprehensive training platform according to claim 1, characterized in that: The logic control center also has an intelligent learning function for analyzing user operating habits and drug usage frequency, optimizing drug positioning algorithms and the movement path of the robotic arm, and improving operating efficiency and accuracy.

6. The artificial intelligence comprehensive training platform according to claim 1, characterized in that: The image recognition module also has a dynamic object tracking function, which is used to update and reposition the drug in real time when the drug is moved or its position changes, ensuring that the robotic arm can accurately pick up the target drug.

7. An artificial intelligence comprehensive training platform according to claim 6, characterized in that: The image recognition module uses quantum dot enhancement technology to enhance sensitivity and resolution under low-light conditions, ensuring accurate identification of drugs even in dim drug storage environments without being restricted by light.

8. The artificial intelligence comprehensive training platform according to claim 1, characterized in that: The platform has a multi-platform data synchronization function, can interact with mobile applications and cloud servers for data, and the platform comprehensively analyzes the user's learning progress and operating habits based on multi-platform data to provide personalized training plans.

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