Image Analysis Folder Caption Settings for Infrastructure Defect Detection
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Solution Overview
Problem
Existing image analysis techniques for detecting defects in infrastructure, such as cracks in concrete structures, require users to individually configure categorization and color rendering settings for different types of structures, leading to a burdensome process.
Innovation Solution
An image analysis apparatus that allows users to select a folder with pre-applied caption settings, enabling automated analysis and result display based on those settings, thereby streamlining the process and reducing user burden.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users individually configure categorization and color rendering settings for different types of structures, then the image analysis can be adapted to specific infrastructure types, but the operational burden and time required for manual configuration increases
Solution Approach 1:
The patent applies preliminary action by pre-configuring caption settings for different infrastructure types before the actual image analysis. The system stores pre-defined categorization and color rendering settings in advance, allowing users to simply select the appropriate setting for their infrastructure type without performing manual configuration during the analysis process.
Solution Approach 2:
The system implements self-service by automatically applying the selected pre-configured caption settings to the image analysis process. Once a user selects an infrastructure type, the system automatically retrieves and applies the corresponding pre-defined settings, eliminating the need for users to manually configure categorization and color rendering parameters.
2Productivity
If pre-applied caption settings are used for folders, then the operational burden is reduced and analysis efficiency is improved, but the system complexity for managing folder-based settings increases
Solution Approach 1:
The patent applies segmentation by organizing caption settings into separate, manageable units associated with specific folders. Each folder can have its own pre-applied caption settings, allowing the system to handle complexity through modular organization rather than a monolithic configuration system. This enables efficient retrieval and application of settings without requiring complex system-wide reconfiguration.
3Adaptability or versatility
If manual configuration of categorization and color rendering is required, then customization flexibility is maintained, but the time and effort required for setup increases
Solution Approach 1:
The system performs preliminary action by pre-configuring multiple caption settings for different infrastructure types before analysis begins. Users can then quickly select the appropriate pre-configured setting rather than spending time on manual configuration, significantly reducing setup time while maintaining the ability to customize for specific infrastructure types through the pre-defined options.
Data Source
AI summary
An image analysis apparatus that analyzes an image of an inspection target, comprising: a selection unit configured to select a folder; and an analysis unit configured to analyze an image inside the folder selected by the selection unit based on a caption setting applied to the folder.