Machine vision based printing process monitoring and management system
By constructing a grayscale time-series sliding window and coupling feature calculation, quantitative separation of printing plate wear, blanket contamination, and optical system contamination is achieved, solving the problem of misjudgment of artifact sources in existing technologies and improving the stability and maintenance efficiency of the printing process.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BEIJING ZHONGKE PRINTING CO LTD
- Filing Date
- 2026-04-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing machine vision printing quality inspection systems cannot effectively distinguish artifact sources such as printing plate wear, blanket dirt, and optical system contamination, leading to misjudgments and prolonged ineffective downtime, reducing printing press operating rates and increasing consumable costs.
By constructing a gray-scale temporal sliding window between candidate regions and the background, calculating the symbol consistency ratio and amplitude ratio stability index, and fusing them into a coupling coefficient, combined with alarm confirmation and anti-repetition mechanisms, the quantitative separation of artifact sources and accurate fault root cause determination are achieved.
It significantly reduces downtime for maintenance, lowers unnecessary plate and blanket replacement costs, and improves the stability and maintenance efficiency of the printing process.
Smart Images
Figure CN122415484A_ABST