Image Processing Device Master Scene Data Management
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Solution Overview
Problem
Existing image processing devices require significant man-hours for maintenance and parameter adjustments when changes are needed in the content or execution order of image processing units, making it inefficient for real-world applications.
Innovation Solution
An image processing device and managing system that utilizes master scene data to categorize and manage image processing, allowing for efficient updates and adjustments to the content of image processing by defining a parameter set for each scene, enabling smaller man-hour changes even when the processing content is altered.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image processing content is changed by defining separate parameter sets for each scene, then processing flexibility and adaptability are improved, but maintenance time and operational complexity increase significantly
Solution Approach 1:
The patent creates a master scene data structure that serves multiple functions: it defines the common flow of image processing units applicable to all scenes, while allowing individual scene data to inherit and customize parameters. This universal template approach allows the same processing framework to handle diverse inspection scenarios without requiring separate complete configurations for each scene, thereby reducing maintenance time when changes are needed.
Solution Approach 2:
The patent segments the image processing configuration into hierarchical components: master scene data containing the common flow structure, and individual scene data containing scene-specific parameter sets. This segmentation allows changes to be made at different levels - common flow changes affect all scenes automatically, while scene-specific changes only affect individual scenes. This reduces overall maintenance time by allowing targeted updates rather than system-wide reconfiguration.
2Measurement precision
If specialized knowledge is required for selecting and adjusting image processing parameters, then processing precision and reliability are improved, but ease of operation deteriorates
Solution Approach 1:
The patent implements preliminary action by pre-defining a master scene data structure with appropriate image processing units and parameter sets configured by experts. This master configuration serves as a ready-made template that operators can directly apply to individual scenes without needing to understand the complex interactions between processing units. The expert work is done in advance, and operators simply need to select and apply pre-configured parameter sets, thereby maintaining processing precision while dramatically improving ease of operation.
3Adaptability or versatility
If separate parameter sets are defined for each scene to handle different product types, then adaptability to various products is improved, but device complexity increases
Solution Approach 1:
The patent applies the nested doll principle by creating a hierarchical data structure where master scene data contains the common flow structure, and individual scene data is nested within this framework. Each scene data structure contains references to the master scene data and overlays scene-specific parameter sets. This nested organization allows the system to handle multiple product types and inspection scenarios through a unified structure, reducing apparent complexity while maintaining high adaptability.
Data Source
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AI summary
In the environment of executing an image processing for each scene by defining a parameter set for each scene, there has been demanded a configuration capable of reflecting the change by smaller man-hour even when the content of the image processing has been changed. The image processing device (100) includes an operating unit (10) that can selectively execute a plurality of pieces of processing, and a storage (20) that can be accessed from the operating unit (10). The storage (20) holds: a common flow for executing processing selected out of the plurality of pieces of processing, in a predetermined order; user scene data (210) in which a parameter set including one or a plurality of parameters are defined for each scene; and a command code concerning the parameter set included in the user scene data (210). The command code includes a first processing rule for causing a corresponding parameter set to reflect a result of a processing following the common flow.