Inkjet Printer Anomaly Detection and Mask Processing
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Solution Overview
Problem
Inkjet image forming apparatuses face challenges in preventing ink ejection to places outside the printing medium due to anomalies like dog-ears, holes, misalignment, and skew, leading to wastage and contamination.
Innovation Solution
An image forming apparatus with a conveyance section, medium reading section, image processing section, anomaly estimation section, and operation display section that generates medium area data to identify image formable areas, restricts ink ejection outside these areas, and displays anomaly causes on the image data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the image forming apparatus prints on the entire surface without detection, then printing speed is maintained, but ink is ejected outside the medium causing wastage and contamination
Solution Approach 1:
The medium reading section performs preliminary detection of the medium's actual boundaries and anomalies before the printing process begins. This advance detection allows the system to pre-calculate mask processing targets and adjust printing parameters proactively, preventing ink wastage while maintaining printing speed without requiring mid-process interruptions.
Solution Approach 2:
The system implements a feedback loop where the medium reading section continuously monitors the medium's position and condition, and this information is fed back to the image formation controller to dynamically adjust the printing parameters and mask processing targets in real-time, ensuring precise ink application and preventing wastage.
2Loss of substance
If the apparatus stops output when printing size does not match medium size, then ink wastage is avoided, but productivity decreases due to frequent stopping
Solution Approach 1:
The system performs preliminary detection of medium boundaries and anomalies before printing, allowing it to pre-calculate the exact printing area and mask processing targets. This enables continuous printing without stopping, as the system already knows where to restrict ink ejection, thus avoiding both wastage and productivity loss.
Solution Approach 2:
The mask processing targets and printing parameters are dynamically adjusted based on real-time medium detection data. The system can adapt to varying medium sizes, positions, and anomalies on-the-fly, maintaining optimal printing efficiency without requiring manual intervention or process interruptions.
3Loss of substance
If mask processing is applied to restrict ink ejection, then ink wastage is reduced, but printing precision requirements increase
Solution Approach 1:
The system applies mask processing selectively only to specific pixels that would result in ink ejection outside the medium or onto anomalies, rather than uniformly restricting the entire printing area. This localized approach maintains high printing precision in valid areas while preventing wastage only where necessary.
Solution Approach 2:
The system replaces physical mechanical adjustments with digital image processing techniques. By using software-based mask processing on the image data before ejection, the system achieves precise control over ink application without requiring complex mechanical positioning systems, thereby maintaining high precision while reducing complexity.
4Loss of substance
If anomaly detection is implemented, then ink ejection outside medium is prevented, but device complexity increases
Solution Approach 1:
The medium reading section serves multiple functions: it detects medium boundaries, identifies anomalies (dog-ears, holes, misalignment, skew), and provides positioning information. By consolidating these detection capabilities into a single multi-functional component, the system prevents ink wastage without proportionally increasing overall device complexity.
Solution Approach 2:
The image formation controller acts as an intermediary that processes the raw detection data from the medium reading section and translates it into mask processing targets for the image forming section. This intermediary layer simplifies the interaction between detection and execution components, managing complexity through modular information processing.
Data Source
AI summary
An image forming apparatus includes a medium reading section that acquires medium area data in a conveyance path, an image formation controller that sets a target pixel as a mask processing target where ink ejection is restricted when the target pixel is outside an image formable area, an anomaly estimation section that uses positions of a mask start pixel and a mask end pixel to estimate a cause of the mask processing target and generates a first text message indicating a result of estimation on the cause of the mask processing target, and an operation display section that, according to occurrence of the mask processing target, displays the first text message and an area as the mask processing target with a display generated using the position of the mask start pixel and the position of the mask end pixel superimposed on the image represented by the image data.