Abnormality Detection in Moving Objects via Coordinate-Fixed Image Analysis
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Solution Overview
Problem
Existing methods for detecting abnormalities in moving objects, such as those used in wind turbines or vehicle wheels, face challenges in accurately measuring displacements without increasing device size and suffer from lowered detection accuracy due to combined motion and structural displacement values.
Innovation Solution
A system that generates coordinate-fixed time-series images by aligning image directions, calculates two-dimensional spatial displacement distributions, separates in-plane and depth movement amounts, and determines abnormalities using these calculations, allowing for non-contact detection without a stereo camera.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a stereo camera is used to capture moving images for abnormality detection, then measurement accuracy is improved, but device size increases
Solution Approach 1:
The invention extracts and removes the motion component from the displacement measurement by generating coordinate-fixed time-series images. This separates the structural displacement (abnormality indicator) from the motion displacement, allowing accurate abnormality detection using a single camera without requiring a stereo camera configuration.
Solution Approach 2:
The invention transforms the measurement approach by working in the coordinate-fixed image space rather than directly in physical space. By aligning images to a reference coordinate system and performing image registration, the system enables accurate displacement measurement in a transformed dimensional space while using only a single camera.
2Volume of moving object
If a single camera is used to suppress device size, then device size is reduced, but detection accuracy is lowered due to combined motion and structural displacement
Solution Approach 1:
The invention segments the total displacement into two distinct components: motion displacement and structural displacement. By calculating displacement relative to coordinate-fixed images and reference points, the system separates the dominant motion component from the subtle structural displacement caused by abnormalities, enabling accurate detection with a single camera.
Solution Approach 2:
The invention performs preliminary image registration and coordinate fixation before displacement calculation. By pre-aligning the time-series images to a reference coordinate system and identifying reference points in advance, the system prepares the data structure to isolate structural displacement from motion, enabling accurate abnormality detection without stereo cameras.
3Reliability
If visual inspection by inspector is used to detect abnormalities, then detection capability is achieved, but human costs increase and structure cannot be used during inspection
Solution Approach 1:
The invention replaces the mechanical/visual inspection system (human inspector) with an automated optical measurement system. By using a single camera to capture and analyze coordinate-fixed time-series images, the system automates the detection process, eliminating the need for manual inspection while maintaining or improving detection accuracy and allowing continuous operation.
Data Source
AI summary
The coordinate system fixing unit uses the displacement of an object under measurement between photographed images in chronological order to generate fixed-coordinate chronological images. The displacement calculation unit uses the fixed-coordinate chronological images to calculate a two-dimensional spatial distribution of the displacement of the surface of the object under measurement. The displacement difference calculation unit calculates a two-dimensional displacement difference distribution by removing an error component from the two-dimensional spatial distribution. The depth movement amount calculation unit calculates a depth movement amount from the two-dimensional displacement difference distribution. The displacement separation unit calculates in-plane displacement from the two-dimensional displacement difference distribution. The determination unit uses the in-plane displacement and/or the depth movement amount to determine whether there is an abnormality in the object under measurement.