Detection method for printing effect verification

By collecting scanned images of thermal printing media and environmental sensing information, and using the improved OTSU algorithm and illumination compensation module to extract features, combined with EAST text detection and morphological operations, a print quality degradation model is constructed. This solves the problems of single print quality assessment and environmental coupling effects in existing technologies, and achieves accurate quantification of print quality and lifespan prediction.

CN121147154APending Publication Date: 2025-12-16FUJIAN NEWLAND PAYMENT TECH
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Patent Information

Application Number
CN202511293779.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-11
Publication Date
2025-12-16

AI Technical Summary

Technical Problem

Existing thermal printing technology lacks multi-dimensional dynamic evaluation capabilities, making it difficult to quantify print quality degradation trends and environmental coupling effects. This makes it difficult for maintenance personnel to detect potential quality defects in a timely manner and to formulate adaptive maintenance strategies.

Method used

By collecting scanned image information of thermal printing media and environmental sensing information, an adaptive segmentation threshold is generated using an improved OTSU algorithm and illumination compensation module to extract features such as character integrity and edge sharpness. Combining the EAST text detection algorithm and morphological operations to identify defect patterns, a print quality degradation model is constructed. Density peak clustering algorithm is used to separate equipment aging and environmental interference features. A graph attention network is established to analyze the correlation between print quality and equipment status, and an verification report is output.

Benefits of technology

It has achieved precise quantitative assessment of print quality and established a dynamic correlation model between quality and environmental parameters and equipment aging, providing intelligent decision-making basis for print quality maintenance.

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Abstract

The invention discloses a detection method for printing effect verification, and the method comprises the steps: collecting scanning image information and environment sensing information, employing an improved OTSU algorithm and an illumination compensation module to process the scanning image information, and extracting a standardized image feature matrix containing the characteristics of character integrity, edge sharpness and the like; identifying a defect mode by using an EAST text detection algorithm and morphological operation, and generating a quantitative evaluation vector; the vector and environment sensing information are subjected to space-time alignment, a printing quality degradation model is constructed through a density peak value clustering algorithm, and a multi-dimensional quality index set is established; and finally, based on the graph attention network and the time sequence convolutional network, analyzing the incidence relation between the printing quality and the equipment state, and outputting a verification report containing a quality score, a defect positioning graph and a life prediction curve. According to the method, accurate quantitative evaluation of the printing quality is realized, a dynamic association model of the quality, the environmental parameters and the equipment aging is established, and an intelligent decision basis is provided for printing quality maintenance.
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