Cost-Estimating Detection Unit for Infrastructure Inspection
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Solution Overview
Problem
Current image-based inspection methods for detecting deformations in infrastructural structures, such as cracks in concrete walls, face challenges with incomplete detection and errors, requiring manual correction which incurs costs, and adjusting detection models for improved accuracy also comes with temporal and monetary costs.
Innovation Solution
An information processing apparatus that includes a detection unit, a correction cost estimation unit, and an adjustment cost estimation unit, allowing users to compare and decide between correcting or reprocessing detection results, enabling efficient cost management in obtaining accurate deformation detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual correction is performed to improve detection accuracy, then detection precision is improved, but time cost and labor cost increase
Solution Approach 1:
The system automatically evaluates detection results and performs corrections without requiring manual intervention. The correction processing unit automatically identifies erroneous detections and ommissions, and the teaching data generation unit creates training data from corrected results, enabling the system to self-improve detection accuracy without human time investment.
Solution Approach 2:
The system implements a feedback loop where detection results are automatically evaluated, corrected errors are identified, and corrected data is used to generate teaching data for retraining the detection model. This continuous feedback mechanism improves detection accuracy automatically over time without requiring manual correction input.
2Measurement precision
If detection model is adjusted and retrained to improve detection accuracy, then detection precision is improved, but temporal cost and monetary cost increase
Solution Approach 1:
The system performs preliminary evaluation of detection results to identify areas needing improvement before retraining is necessary. By automatically evaluating detection accuracy and generating teaching data from corrected results, the system prepares training materials in advance, reducing the overall retraining time and computational resources required.
Solution Approach 2:
The system changes the parameters used for detection by generating new teaching data from corrected detection results. This involves modifying the training dataset parameters rather than fundamentally retraining the entire model, which reduces time and computational cost while still improving detection accuracy.
3Productivity
If automatic detection is used to reduce manual work, then productivity is improved, but detection accuracy decreases due to erroneous detection and omission
Solution Approach 1:
The detection system performs self-correction by automatically evaluating its own detection results, identifying erroneous detections and ommissions, and generating corrected teaching data. This self-service capability allows the system to maintain high productivity while automatically improving accuracy without requiring continuous manual oversight.
Solution Approach 2:
An automatic feedback mechanism evaluates detection results and feeds corrected information back into the system. The correction processing unit identifies errors and the teaching data generation unit creates improved training data, which is then used to retrain the detection model, continuously improving accuracy while maintaining automated high-speed processing.
Data Source
AI summary
A detection unit configured to detect a detection target from an image to be processed by detection processing capable of adjusting at least one setting, a correction cost estimation unit configured to estimate a correction cost needed for correction needed in a case where a result of detection by the detection unit is corrected, an adjustment cost estimation unit configured to estimate an adjustment cost needed in a case where the setting of the detection processing is adjusted to the detection target, and a display control unit configured to perform control to display the correction cost and the adjustment cost on a display unit in a comparable manner are included.