Damage Diagram Alignment From Inspection Markup Images
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Solution Overview
Problem
The process of creating a damage diagram for structural inspections is complex, requiring manual creation based on printed drawings and captured images, which complicates the integration of damage information with structural data.
Innovation Solution
An inspection support device and method that utilizes image recognition and machine learning to align structural drawings with damage information, allowing for automated creation of damage diagrams by recognizing and aligning damage graphics with corresponding positions on the drawing data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual notation and alignment methods are used to create damage diagrams, then flexibility and adaptability are maintained, but the complexity of the process increases and productivity decreases
Solution Approach 1:
The patent uses image scanning to create digital copies of handwritten damage diagrams from physical papers. The image recognition system then processes these copies to extract and structure damage information, eliminating the need for manual re-entry while preserving the original inspection data.
Solution Approach 2:
The patent replaces manual mechanical processes (handwriting, physical alignment, visual inspection) with automated image recognition and processing systems. The computer automatically performs tasks that previously required human operators to manually note, align, and interpret damage information.
2Productivity
If automated image recognition is used to process damage information, then productivity improves, but measurement precision requirements increase
Solution Approach 1:
The patent implements a feedback mechanism where the image recognition results are displayed to inspectors for verification and correction. This allows the system to learn from human feedback and improve recognition accuracy over time while maintaining high processing speeds.
Solution Approach 2:
The patent performs preliminary image preprocessing and enhancement before recognition to improve accuracy. The system prepares the image data in advance by adjusting contrast, removing noise, and enhancing features, which facilitates more accurate recognition without increasing processing time during actual inspection.
3Measurement precision
If detailed damage information is manually recorded and processed, then measurement precision is maintained, but loss of time increases
Solution Approach 1:
The patent creates digital copies of detailed damage information through image scanning and automated recognition, preserving all inspection details while eliminating time-consuming manual transcription and processing steps.
Data Source
AI summary
Provided are an inspection support device, an inspection support method, and a program capable of reducing complexity of creating a damage diagram. The inspection support device includes a processor that supports creation of a damage diagram of a structure, in which the processor acquires image data of information including a structural drawing of a target structure on a medium and damage information related to damage added by a user on the medium, recognizes the damage information by image recognition from the acquired image data, acquires drawing data corresponding to the structural drawing, aligns the structural drawing of the image data with the drawing data, and draws the damage information as a damage graphic at a corresponding position of the drawing data to create the damage diagram.