Automated Operation List Generation for Image Processing

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Users face difficulties in generating automated operation lists for image processing tasks due to the need for extensive knowledge about the operation flow and the burden of registering operations and processing parameters, especially when operations require varying processing parameters based on the image.

Innovation Solution

An automated operation list generation device and method that classifies operations into routine and non-routine types, allowing users to input necessary parameters only for non-routine operations, and automatically executes routine operations with predefined parameters, reducing user input and effort.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If the user manually registers each operation and processing parameter to generate an automated operation list, then the automation capability is improved, but the time and effort required for generation increases significantly

Engineering Contradiction:
Improveautomation capabilityVSAvoidtime and effort for generation
Core Design Contradiction:
Extent of automationVSLoss of time

Solution Approach 1:

The system performs self-service by automatically classifying operations into routine and non-routine categories and generating the automated operation list without requiring manual registration of each operation and parameter by the user. The computer executes the operations automatically based on the generated list, eliminating the need for continuous user intervention.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system performs preliminary classification of operations into routine and non-routine categories before generating the automated operation list. This preliminary action allows the system to pre-determine which operations require user input and which can be executed automatically, streamlining the subsequent automation process.

Inventive Principle:
Principle #10Preliminary action

2Manufacturing precision

If the system requires the user to determine whether each operation can be automated and register processing parameters, then the automation precision is improved, but the complexity of the generation process increases

Engineering Contradiction:
Improveautomation precisionVSAvoidcomplexity of generation process
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The system segments operations into two distinct categories: routine operations that can be executed automatically and non-routine operations that require user input. This segmentation simplifies the generation process by providing clear classification criteria, reducing the complexity of determining automation eligibility for each operation.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system introduces an intermediary classification mechanism that acts as a mediator between the user and the automation process. By classifying operations into routine and non-routine categories, the system provides a structured intermediate step that guides the user through the automation generation process, making it more manageable and less complex.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Ease of operation

If the system automates operations with predefined parameters, then the ease of operation is improved, but the adaptability to different image processing needs decreases

Engineering Contradiction:
Improveease of automated executionVSAvoidadaptability to different needs
Core Design Contradiction:
Ease of operationVSAdaptability or versatility

Solution Approach 1:

The system implements a dynamic operation list generation approach where the classification of operations into routine and non-routine categories can adapt based on the specific image processing needs. The system allows flexible configuration of which operations fall into each category, enabling it to adjust to different processing requirements while maintaining ease of automated execution for routine operations.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS8893136B2Automated operation list generation device, method and program
Publication Date: 2014.11.18 FUJIFILM CORP
  • US8893136B2 patent drawing
  • US8893136B2 patent drawing
  • US8893136B2 patent drawing

AI summary

Selection of operations in a desired order and, as necessary, input of processing parameters by the user are received. Based on each operation corresponding to the received input, operation information, which classifies the operation corresponding to the input into a non-routine operation, which requires input of a processing parameter during execution of an automated operation list, or a routine operation other than the non-routine operation in advance, is obtained. Then, an automated operation list is generated based on the obtained operation information by registering, if the operation corresponding to the input is a routine operation, the operation corresponding to the input in the automated operation list with associating, as necessary, a necessary processing parameter for the operation with the operation, and registering, if the operation corresponding to the input is a non-routine operation, the operation corresponding to the input in the automated operation list.