Medicine Image Collation With Feedback Master Image Collection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing medicine recognition systems face challenges in accurately identifying over 8,000 types of medicines due to the difficulty in obtaining and registering images of all medicines, especially rare or expensive ones, which hinders effective image recognition.
Innovation Solution
A medicine comparing system that includes a medicine audit device and a medicine audit system, utilizing a local database and a server device to collect and update master images, perform image processing, and correct image recognition errors through learning models, ensuring comprehensive medicine identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If master images are registered for all medicines to improve recognition accuracy, then recognition accuracy is improved, but the difficulty in obtaining medicine images increases
Solution Approach 1:
The system uses feedback from indeterminate recognition results to automatically collect medicine images and update the master image database. When a medicine cannot be recognized, the system captures its image, identifies it through barcode or other methods, and adds it to the master image repository, thereby continuously improving recognition accuracy without manual intervention
Solution Approach 2:
The medicine recognition system performs self-improvement by automatically collecting images of unrecognized medicines and updating its own master image database. The system serves itself by using its own operational data (indeterminate recognition cases) to enhance its capabilities, eliminating the need for external manual image collection
2Measurement precision
If comprehensive medicine image collection is performed to improve recognition accuracy, then recognition accuracy is improved, but the time required for image collection increases
Solution Approach 1:
The system continuously collects and processes medicine images in real-time during normal operation. Instead of periodic batch processing, the image collection and master image update operations continue uninterrupted as medicines are scanned and recognized, maximizing the useful action time while minimizing idle time
Solution Approach 2:
The feedback mechanism ensures that time spent on indeterminate recognition cases is directly converted into useful master image data. The system immediately processes failed recognition attempts by capturing images and updating the database, ensuring that time investment yields immediate improvements in recognition capability
Data Source
Figure 1
Figure 2
Figure 3
AI summary
To provide a medicine collation device, a medicine collation system, a medicine management method, and a program, capable of collecting medicine images that are candidates for master images. The medicine collation device includes: a medicine image acquiring unit (60) configured to acquire a medicine image generated by imaging a medicine to be collated; a first master image storing unit (64) configured to store a master image of the medicine; a collating unit (62) configured to collate the medicine image with the master image; an associating unit (66) configured to associate the medicine image collated by the collating unit, with identification information on the medicine image; and a transmitting unit (68) configured to transmit the medicine image and the identification information that are associated in the associating unit, to an outside.