Medicine Image Recognition for Personal Medication Management

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Solution Overview

Problem

Users often face difficulties in managing their medications due to lost packaging or instructions, leading to uncertainty about how to use prescription or non-prescription medicines, and there is a need for a system to track medicine quantities and histories.

Innovation Solution

A personal medicine information management service that uses a user device to capture medicine images, which are then recognized by a server to determine quantities and provide personal medicine information, including histories, allowing users to manage their medications effectively.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If users manually manage their medications, then they can access medicine information, but they face difficulties due to lost packaging or instructions

Engineering Contradiction:
Improvemedicine information accessibilityVSAvoidmedicine management convenience
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The patent creates a digital copy of the medicine packaging through image capture. The user device captures an image of the medicine packaging, and the server stores this image along with extracted medicine information. This digital copy replaces the physical packaging, allowing users to access medicine information without the original packaging, thereby resolving the contradiction between information accessibility and operational convenience.

Inventive Principle:
Principle #26Copying

2Measurement precision

If a server-based recognition system is implemented, then medicine information can be accurately identified, but the system complexity increases

Engineering Contradiction:
Improvemedicine recognition accuracyVSAvoidsystem structure
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent introduces a server as an intermediary between the user device and the medicine information database. The user device captures images and transmits them to the server, which performs recognition, extracts information, and retrieves data from the database. This intermediary approach enables accurate medicine identification while distributing system complexity across multiple components rather than concentrating it in a single device.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Ease of operation

If image-based medicine recognition is used, then users can identify medications without packaging, but the requirement for image capture and processing increases

Engineering Contradiction:
Improvemedicine identification convenienceVSAvoidimage processing requirement
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The patent extracts the complex image processing and recognition functions from the user device and relocates them to the server. The user device only needs to capture images and transmit them, while the server handles the computationally intensive tasks of image analysis, medicine recognition, and information extraction. This extraction principle reduces the processing requirements of the user device while maintaining accurate medicine identification.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS10255411B2Method, server, and user device for providing user's personal medicine information management service between the server and the user device
Publication Date: 2019.04.09 SAMSUNG ELECTRONICS CO LTD
  • US10255411B2 patent drawing
  • US10255411B2 patent drawing
  • US10255411B2 patent drawing

AI summary

A method of managing a personal medicine information management service by a user device and a server includes obtaining a medicine image captured by photographing appearance of a user medicine; transmitting the obtained medicine image to the server as a request for recognition of the user medicine; and receiving medicine quantity information and personal medicine information from the server based on a result of the recognition of the user medicine. The personal medicine information includes an image of the user medicine of which recognition training is performed by the server.