Augmented Reality Decurler Analysis for Print Media
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Solution Overview
Problem
Conventional decurling systems in printing processes rely on statistical averages and manual adjustments, which are time-consuming and inefficient, as they do not account for individual sheet characteristics or real-time environmental conditions, leading to issues like paper jams and uneven stacking.
Innovation Solution
A system and method utilizing augmented reality (AR) to analyze decurler settings by receiving real images of printed sheets, inputting relevant factors, and displaying predicted stack geometries, allowing for precise adjustments to decurler settings to address curl issues dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual adjustment of decurler settings is performed, then the operator can address curl issues, but the process becomes time-consuming and inefficient
Solution Approach 1:
The patent replaces manual mechanical adjustment with an automated image processing and analysis system. The system captures images of the print media, processes them through algorithms to detect curl characteristics, and automatically determines optimal decurler settings, eliminating the need for manual operator intervention and significantly reducing adjustment time.
Solution Approach 2:
The system enables self-service by allowing the decurler to automatically adjust its own settings based on real-time image analysis of the print media. The automated feedback loop continuously monitors curl conditions and adjusts decurler parameters without external intervention, making the system self-regulating and eliminating manual adjustment cycles.
2Ease of manufacture
If statistical average curl estimation is used for decurling, then the process is simple, but it does not account for individual sheet characteristics or real-time conditions
Solution Approach 1:
The patent applies local quality by analyzing and addressing curl characteristics of individual sheets rather than using uniform average settings. The image processing system detects specific curl patterns, magnitude, and direction for each sheet or small batch, allowing localized optimization of decurler settings that matches the actual conditions of the print media being processed.
Solution Approach 2:
The system implements feedback by continuously capturing images of the print media, analyzing curl characteristics in real-time, and using this information to adjust decurler settings. This closed-loop feedback mechanism ensures that decurling parameters are constantly optimized based on actual sheet conditions rather than relying on pre-determined statistical averages.
3Manufacturing precision
If iterative testing with different decurler settings is performed, then the desired output can be achieved, but waste and downtime increase
Solution Approach 1:
The patent applies preliminary action by performing image analysis and calculating optimal decurler settings before actual printing or processing begins. The system pre-determines the correct decurling parameters based on analyzed characteristics of the print media, eliminating the need for iterative testing during production and allowing immediate implementation of correct settings.
Solution Approach 2:
The system replaces iterative mechanical trial-and-adjustment with automated optical measurement and computational analysis. By using image processing algorithms to predict optimal settings, the system eliminates multiple cycles of testing different decurler configurations, significantly reducing both waste from failed attempts and downtime between adjustments.
Data Source
AI summary
A method of analyzing decurling settings for a print request including a plurality of sheets, the method including receiving a real image of a first portion of the plurality of sheets, receiving a first input, displaying one or more decurler settings, and displaying a first augmented image of a stack of the plurality of sheets.