Automated Operation List Generation for Image Processing
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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
Engineering 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
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.
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.
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
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.
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.
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
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.
Data Source
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.


