Machine Vision-Based Detection Method and System for Printing Quality of Wide Coils of Pulled Wires

The outlier and abnormality of characters are calculated by machine vision method, and the number of pixels and position offsets of the wide-format coil characters of the wire pulling wire pulling wire pulling wire pulling wire pulling wire pulling wire pulling wire is analyzed using CTPN and U-Net models, which solves the accuracy of laser printing wire pulling wire and improves the detection accuracy and reliability of anti-counterfeiting wire pulling wire.

CN120107253BActive Publication Date: 2025-07-04GUANGZHOU HUADU LIANHUA PACKING MATERIAL CO LTD
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Patent Information

Application Number
CN202510585409.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-05-08
Publication Date
2025-07-04
Estimated Expiration
2045-05-08

AI Technical Summary

Technical Problem

The prior art is difficult to accurately determine whether the color and outline of the pull-line wide-format coil characters based on laser printing meet the standards, especially when the light changes and the character size are too small, resulting in poor anti-counterfeiting effect.

Method used

Through machine vision methods, the outlier and anomalies of characters are calculated, and the character recognition model of the CTPN architecture and the image segmentation model of the U-Net architecture are used to analyze the pixel number difference and position offset of characters, and the angles included in the line are fitted to determine whether the character's morphology and position meet the standards.

Benefits of technology

It improves the automatic detection accuracy and reliability of wide-format coils of wire pulling, avoids recognition errors caused by lighting changes and character sizes too small, and ensures the quality of anti-counterfeiting wire pulling.

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Abstract

The present invention relates to the field of image recognition technology. The present invention relates to a method and system for detecting the printing quality of anti-counterfeiting wire-drawn wide-width coils based on machine vision. The method includes: obtaining a wide-width coil image, and marking and selecting each character through a marking frame to obtain the number of pixels belonging to the character in the marking frame; determining the horizontal / vertical coordinate of the center of the marking frame as the horizontal / vertical coordinate of the character, and dividing all characters into multiple wire-drawn clusters and multiple identical character clusters; calculating the outlier degree of each character; fitting a first straight line according to the horizontal / vertical coordinates of each character in the wire-drawn cluster, and calculating a first included angle between the first straight line and the horizontal axis; fitting a second straight line according to the horizontal / vertical coordinates of each character in the identical character cluster, and calculating a second included angle between the second straight line and the vertical axis; calculating the abnormality degree of each character and alarming when the abnormality degree of at least one character is less than a preset second threshold. The present invention improves the automatic detection accuracy and reliability of anti-counterfeiting wire-drawn wide-width coils.
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