Manhole Cover Abnormality Detection via Coded Image Feature Extraction
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Solution Overview
Problem
The existing methods for inspecting manhole covers require significant time for arithmetic processing due to the analysis of image information, which becomes cumbersome as the number of target manholes increases.
Innovation Solution
An abnormality determination device that analyzes feature amounts from coded image information by dividing the image into sections and calculating a determination score based on the distribution of code amounts, allowing for efficient identification of abnormalities such as wear, water leakage, or cracks in manhole covers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image information is decoded and general image processing is performed for feature extraction, then accurate abnormality detection is achieved, but arithmetic processing time increases significantly
Solution Approach 1:
The invention extracts only the essential feature amounts needed for abnormality detection from the coded image information, rather than performing complete decoding and general image processing. By taking out only the necessary features (such as code amounts for each division image), the system achieves accurate abnormality detection while significantly reducing arithmetic processing time.
Solution Approach 2:
The image is divided into multiple division images, and feature amounts are extracted for each division image separately. This segmentation allows the system to process only relevant portions of the image data needed for abnormality detection, reducing overall processing time while maintaining detection accuracy.
2Productivity
If the number of target manholes increases, then inspection coverage is improved, but total arithmetic processing time increases massively
Solution Approach 1:
By dividing the image into multiple division images and extracting feature amounts for each, the system enables parallel processing capabilities. When multiple manholes need to be inspected, the segmented approach allows for more efficient batch processing, improving overall inspection coverage without linearly increasing total processing time.
Solution Approach 2:
The system performs only the partial action necessary for abnormality detection by extracting specific feature amounts from coded information rather than performing complete image decoding and processing. This partial processing approach maintains detection accuracy while dramatically reducing the time required per manhole, enabling scalable inspection of large numbers of targets.
Data Source
AI summary
An abnormality determination device includes: an analysis unit that analyzes at least a feature amount related to a pattern of a captured image of a manhole cover, the feature amount being included in coded information obtained by coding the captured image; and a determination unit that determines based on an analysis result of the analysis unit whether the manhole cover is abnormal.