A method and system for detecting the quality of a braid based on industrial camera detection

By establishing a detection coordinate system in the quality inspection of webbing, dynamically constructing a double-centered loop domain and calibrating the chord position subdivision reference line, the problem of inaccurate measurement caused by vibration and tension fluctuations in webbing on high-speed production lines is solved, and the fine-grained grading judgment and consistent inspection of webbing quality are realized.

CN122089745BActive Publication Date: 2026-07-07XIAMEN YAMA RIBBONS & BOWS
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
XIAMEN YAMA RIBBONS & BOWS
Filing Date
2026-04-27
Publication Date
2026-07-07

AI Technical Summary

Technical Problem

Existing webbing quality inspection methods are easily affected by mechanical vibration and tension fluctuations on high-speed production lines, resulting in inaccurate width measurements. Furthermore, surface defect detection is independent of geometric dimension measurement, affecting the accuracy of quality judgment.

Method used

By establishing a detection coordinate system, dynamically selecting centripetal nodes to construct a double-centered ring domain, generating chordal subdivision reference lines along the webbing length direction, performing equidistant affine derivation and confidence coupling calibration, and combining spatial correlation analysis between the defect area and the edge baseline to generate corrected width detection values ​​and defect distribution information.

Benefits of technology

It improves the dynamic accuracy and stability of webbing width measurement, avoids misjudgment based on a single abnormal feature, realizes refined grading of webbing quality, and improves the consistency and accuracy of detection.

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Abstract

The application provides a kind of based on industrial camera detection's ribbon quality detection method and system, it is related to quality detection technical field, the method comprises: step 1, after the original image of continuously collected conveying ribbon is preprocessed, the target area of ribbon is extracted and detection coordinate system is established, and the image of positioning ribbon detection area is obtained;For the image of positioning ribbon detection area, surface defect detection and geometric dimension detection are performed, and the independent defect area set, the two edge reference lines of ribbon, real-time width value and width deviation are obtained.The application can uniformly detect reference, adaptively adapt to ribbon conveying deformation and defect distribution, improve the dynamic accuracy of width detection, realize defect and size data correlation determination, avoid single feature misjudgment, and complete the fine classification of ribbon quality.
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