Image Management Server with Dual Models for Tacit Knowledge Transfer

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Solution Overview

Problem

Existing systems face challenges in effectively conveying tacit knowledge across different tasks and between users with varying levels of expertise, particularly in industries like civil engineering and construction, due to the qualitative nature of tacit knowledge and difficulties in ensuring user trust and relevance.

Innovation Solution

An information processing system comprising an image management server and terminal device, which utilize trained models to generate text information based on image and input information, allowing users to selectively choose between a first tacit knowledge model using property management information and a second model that does not, thereby facilitating the transfer of specialized or general-purpose tacit knowledge.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a single tacit knowledge model is used, then the system is simple to operate, but it cannot provide both specialized and general-purpose knowledge simultaneously

Engineering Contradiction:
Improveknowledge coverageVSAvoidmodel selection mechanism
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent divides the tacit knowledge model into two distinct segments: a first model for specialized knowledge and a second model for general-purpose knowledge. This segmentation allows the system to provide specialized knowledge when needed while maintaining general applicability, resolving the contradiction between knowledge coverage and system simplicity.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system dynamically selects which model to use based on the user's expertise level and the specific task requirements. The model selection is not fixed but adapts in real-time based on input from the terminal device, enabling the system to transition between specialized and general-purpose modes as needed.

Inventive Principle:
Principle #15Dynamics

2Reliability

If property management information is always used, then specialized knowledge is improved, but general-purpose knowledge becomes limited

Engineering Contradiction:
Improveknowledge accuracyVSAvoidknowledge applicability
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent applies local quality by making the use of property management information conditional rather than universal. The first model uses property management information for specialized knowledge tasks, while the second model provides general-purpose knowledge without relying on property-specific data, allowing each model to optimize for its specific purpose.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system changes the parameter of information usage based on the task type. When specialized knowledge is needed, property management information is activated; when general-purpose knowledge is required, this information is excluded. This parameter change enables the system to switch between high accuracy for specialized tasks and broad applicability for general tasks.

Inventive Principle:
Principle #35Parameter changes

3Adaptability or versatility

If multiple models are provided, then knowledge versatility is improved, but user selection burden increases

Engineering Contradiction:
Improveknowledge typesVSAvoiduser interaction
Core Design Contradiction:
Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system performs self-service by automatically selecting the appropriate model based on analysis of the user's input and expertise level. Rather than requiring users to manually choose between models, the system autonomously determines which model best fits the current task, reducing user selection burden while maintaining knowledge versatility.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20260072631A1Information processing system, image management server, and non-transitory recording medium
Publication Date: 2026.03.12 RICOH CO LTD
  • US20260072631A1 patent drawing
  • US20260072631A1 patent drawing
  • US20260072631A1 patent drawing

AI summary

An information processing system includes an image management server that manages image information of an item, and a terminal device that communicates with the server. The server includes a memory that stores first and second models and server circuitry. The first model is trained on a correspondence between the image information and information on the item, or among the image information, the information on the item, and information input into the device. The second model is trained on a correspondence between the image information and the information input into the device. The server circuitry generates text information on the item based on the image information selected via the device, the information on the item, and the first model, or on the image information selected via the device and the second model. The device includes device circuitry that causes a display screen including the text information to be displayed.