Print Defect Heatmap Visualization for Color Production Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for quality control in print production fail to provide an intuitive understanding of printing defects across a production run, as they do not effectively visualize defect distribution, severity, or frequency, making it difficult for operators to take corrective actions.
Innovation Solution
A method and system that generate heatmaps overlaying defect severity and location on printed designs, allowing operators to quickly identify and address defects by displaying them relative to the printed design and process, using pixel-by-pixel comparisons and database integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If defect information is displayed as a virtual roll map without design context, then defect positions can be noted, but operators cannot intuitively understand where defects fell on the design or their severity
Solution Approach 1:
The patent transforms the flat, abstract virtual roll map into a multi-dimensional visualization by overlaying defect data onto the actual printed design image. This adds spatial context (where defects appear on the design) and visual dimension (color-coded severity levels), enabling operators to intuitively grasp defect distribution patterns and make informed decisions about production adjustments.
2Extent of automation
If traditional print inspection systems flag defects against thresholds, then defect detection is automated, but the accumulated defect database does not provide clear feedback on overall print quality or corrective actions
Solution Approach 1:
The system implements a closed-loop feedback mechanism where defect data from automated inspection is aggregated, analyzed for patterns (such as defects occurring at specific positions or frequencies), and visualized in context with the printed design. This feedback loop enables operators to understand overall print quality trends and make data-driven corrective actions to prevent recurring defects.
3Quantity of substance
If operators scroll through individual defects on a virtual roll map, then defect positions are accessible, but it is difficult to get a clear picture of what happened where across the production run
Solution Approach 1:
The patent merges the defect database with the printed design image, combining quantitative defect data with qualitative visual context. Instead of separating defect locations from the design they appeared on, the system integrates them into a single unified visualization, allowing operators to see both the quantity and spatial distribution of defects in relation to the actual printed content.
Data Source
AI summary
A method for controlling production of color products includes receiving a reference image for a color product; producing a plurality of color products corresponding to the color product in the reference image; acquiring a plurality of images corresponding to the plurality of color products; determining whether an appearance defect exists for each of the plurality of color products by comparing each image of the plurality of images corresponding to the plurality of color products to the reference image; for each detected appearance defect, determining a severity of the appearance defect; generating a visualization of appearance defects on an image of the color product based on the severity of the appearance defect and a frequency of occurrence of the appearance defect; and adjusting production of the color product in response to the visualization of appearance defects to reduce the severity or frequency of occurrence of the appearance defect.