Traditional Chinese medicinal material intelligent storage and prescription filling control system based on AI image recognition
By designing an intelligent storage of traditional Chinese medicinal materials based on AI image recognition and a control system for drug-based treatment, the problems of inefficiency and error-prone processes of traditional Chinese medicinal materials are solved, and the automatic identification and classification storage of traditional Chinese medicinal materials are realized, and management is improved. Efficiency and medication accuracy.
Patent Information
- Application Number
- CN202411831861.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-12
- Publication Date
- 2025-02-14
AI Technical Summary
The storage and medication process of traditional Chinese medicinal materials relies on manual operations, which are inefficient and prone to errors, and the prescription entry is also prone to errors.
Design an intelligent storage and prescription-based drug-grabbing control system based on AI image recognition, including image acquisition module, AI image recognition module, automated storage module, prescription analysis module, intelligent drug-grabbing control module and display module to realize automatic Chinese medicinal materials Identify, classify and store medicines according to prescriptions.
Through AI image recognition technology, the automatic identification and classification storage of traditional Chinese medicinal materials can be realized, the errors caused by human factors can be reduced, the flexibility and adaptability of the system can be improved, manual intervention can be reduced, and operational costs can be reduced.
Smart Images

Figure CN119429485A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of storage and management of Chinese medicinal materials, and in particular to a control system for intelligent storage and prescription-based medicine dispensing of Chinese medicinal materials based on AI image recognition. Background Art
[0002] The traditional storage and collection process of Chinese herbal medicines mostly relies on manual operation, which is not only inefficient but also prone to errors. At the same time, the entry of prescriptions often relies on manual input, which increases the risk of errors and the complexity of operations. In recent years, with the development of artificial intelligence and automation technology, it is necessary to design a control system that can automatically recognize, intelligently store, and automatically retrieve prescriptions through AI recognition of handwritten prescriptions or text and voice input prescriptions, so as to improve the management efficiency of Chinese herbal medicines and the accuracy of medication. Summary of the invention
[0003] The present invention provides a control system for intelligent storage and prescription-based medicine of traditional Chinese medicine based on AI image recognition, the system comprising: Image acquisition module: used to collect image information of Chinese medicinal materials and doctors’ handwritten prescriptions; AI image recognition module: connected to the image acquisition module, with a built-in trained deep learning model to identify the type and quality of Chinese medicinal materials and the contents of the doctor's handwritten prescription; Automatic storage module: According to the recognition results of Chinese medicinal materials by the AI image recognition module, the Chinese medicinal materials are automatically classified and stored in the designated location; Prescription parsing module: It has two functions: AI recognition of doctor's handwritten prescriptions and prescription input through text and voice. It can parse the prescription content and generate prescription instructions; Intelligent medicine dispensing control module: Based on the medicine dispensing instructions generated by the prescription parsing module and the recognition results of Chinese medicinal materials by the AI image recognition module, it automatically controls the robotic arm or conveyor belt and other equipment to dispense medicine according to the prescription; Display module: used to display relevant information during the storage and dispensing process.
[0004] The advantages of the present invention are: Through AI image recognition technology, automatic identification and classified storage of Chinese medicinal materials are realized, avoiding classification errors caused by human factors; The prescription analysis module can not only recognize the doctor's handwritten prescription through AI, but also analyze the prescription through text or voice input, which improves the flexibility and adaptability of the system; The system has a high degree of automation, which reduces manual intervention and lowers operating costs. BRIEF DESCRIPTION OF THE DRAWINGS Figure 1This is the system workflow diagram of the present invention, which describes in detail the system workflow from AI image recognition of medicinal materials and prescriptions / voice or text input of prescriptions to intelligent classification and storage of medicinal materials and intelligent prescription dispensing. DETAILED DESCRIPTION
[0005] In actual applications, the image information of Chinese medicinal materials and doctor's handwritten prescriptions is first collected through the image acquisition module, and then transmitted to the AI image recognition module for recognition. The deep learning model built into the AI image recognition module will process and analyze the image to identify the type and quality of Chinese medicinal materials and the content of the doctor's handwritten prescription. For Chinese medicinal materials, the recognition results will be transmitted to the automatic storage module, which will automatically classify and store the Chinese medicinal materials in the specified location according to the recognition results. For doctor's handwritten prescriptions or prescriptions input by text or voice, the prescription parsing module will parse and generate medicine picking instructions. The intelligent medicine picking control module will automatically control the robotic arm or conveyor belt and other equipment to pick medicine according to the prescription picking instructions and the recognition results of Chinese medicinal materials by the AI image recognition module. The whole process can be monitored and displayed in real time through the display module.
Claims
1. A control system for intelligent storage and prescription-based medicine of traditional Chinese medicine based on AI image recognition, characterized in that: It includes image acquisition module, AI image recognition module, automatic storage module, prescription analysis module, intelligent medicine dispensing control module and display module.
2. The system according to claim 1, characterized in that The AI image recognition module has a built-in trained deep learning model for identifying the type and quality of Chinese medicinal materials and the content of the doctor's handwritten prescription.
3. The system according to claim 1 or 2, characterized in that: The automated storage module can automatically classify and store the Chinese medicinal materials in designated locations according to the recognition results of the Chinese medicinal materials by the AI image recognition module.
4. A system according to any preceding claim, characterised in that The prescription analysis module has two functions: AI recognition of doctor's handwritten prescriptions and prescription input through text and voice. It can analyze the prescription content and generate medicine dispensing instructions.
5. A system according to any preceding claim, characterised in that The intelligent medicine dispensing control module can automatically control the equipment to dispense medicine according to the prescription dispensing instructions generated by the prescription parsing module and the recognition results of the Chinese medicinal materials by the AI image recognition module.
Citation Information
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