Vision System Stability Detection With Affine Contour Models
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Solution Overview
Problem
Conventional manual inspection of industrial parts using contact instruments leads to high labor costs, low accuracy, and low efficiency, while machine vision systems suffer from instability issues affecting measurement accuracy due to changes in camera position or illumination, necessitating a method to test stability for accurate results.
Innovation Solution
A method involving affine transformation of a reference contour model with a spot inspection piece to obtain a current contour model, comparing diameters and grayscale values to determine camera position and illumination changes, ensuring timely fault reporting and accurate measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection using contact instruments is used, then labor cost is high and inspection accuracy is low, but the method is simple to implement
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated machine vision system that uses image processing and contour analysis. The system captures images of inspection pieces, extracts contour information, and automatically compares measurements against reference data, eliminating the need for manual contact measurement while significantly improving accuracy and efficiency.
2Productivity
If machine vision system is used, then inspection efficiency and accuracy are improved, but system stability deteriorates due to camera position changes
Solution Approach 1:
The patent performs preliminary actions by capturing reference images of inspection pieces at known positions before actual inspection. These reference images and their contour data are stored and used for comparison during subsequent inspections. This preliminary setup enables the system to detect and compensate for camera position drift by comparing current measurements against the established reference, thereby maintaining stability over time.
Solution Approach 2:
The system implements feedback by continuously comparing current inspection measurements against reference data and detecting deviations. When camera position changes or system drift is detected through contour comparison, the system can trigger alerts or automatic corrections, ensuring that measurement accuracy is maintained and system stability is monitored in real-time.
3Ease of operation
If machine vision system is used, then manual labor is reduced, but measurement accuracy is affected by camera position instability
Solution Approach 1:
The patent creates precise digital copies (contour models) of inspection pieces from reference images. These contour copies contain exact measurement data and geometric features that serve as virtual standards. During inspection, the system compares current measurements against these stored digital copies, enabling automated high-precision measurement without manual intervention while compensating for camera position changes through the reference comparison mechanism.
Data Source
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AI summary
Embodiments of the present application provide a method and device for detecting the stability of a vision system, for use in detecting whether the vision system is stable, so that an error is reported in time when the vision system is unstable, and the accuracy of a measurement result of the vision system is guaranteed. The method comprises: acquiring first position information of a spot inspection film in a current image under a vision system; on the basis of the first position information, carrying out affine transformation on a reference contour model of the spot inspection film to the position of the spot inspection film in the current image, and fitting to obtain a current contour model of the spot inspection film in the current image according to the reference contour model; and determining the stability of the vision system according to the reference contour model and the current contour model.