Stencil Printing Machine Area Frame Extraction
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Solution Overview
Problem
Conventional stencil printing machines require cumbersome and costly processes for separating areas and colors in images, leading to increased man-hours and potential noise contamination in the original image, especially when trying to separate black letters and colored letters.
Innovation Solution
A stencil printing machine with multiple drum units and a controller that reads image data, extracts area frames or specific density ranges, removes noise, and separates image data into stencils based on user-defined area frames or density ranges, allowing for easy operation and various separation processes without increasing costs or man-hours.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional stencil printing machines use separate stencil sheets for different areas, then area separation is achieved, but the number of man hours for the separation process increases
Solution Approach 1:
The machine automatically performs separation processing by reading the original image, detecting area frames, and generating separate stencil data for different areas without requiring manual specification of separation regions. The system serves itself by autonomously completing the separation task that previously required human intervention.
Solution Approach 2:
The patent replaces manual mechanical operations (physically specifying separation areas on sheets) with automated optical and computational processes. The original scanning unit captures the image, and the controller uses image processing algorithms to automatically detect area frames and separate the image data, substituting human manual work with automated systems.
2Ease of operation
If conventional stencil printing machines scan a sheet to specify separation area, then separation area specification is achieved, but noise which is difficult to remove is added to the original image
Solution Approach 1:
The system extracts only the area frame information from the original image by detecting the frame's position and boundaries. The area frame detection unit identifies the frame without requiring the user to physically mark or scan a separate sheet, extracting the necessary separation information while leaving the original image intact and free from contamination noise.
Solution Approach 2:
The area frame detection unit acts as an intermediary that interprets the area frame drawn on the original and translates it into separation instructions for the stencil generation. This intermediary process allows the system to understand user intent without requiring physical interaction that would contaminate the original image.
3Adaptability or versatility
If conventional stencil printing machines add hardware elements like digitizer or color scanner for two-color separation, then color recognition capability is improved, but costs of the stencil printing machine increase
Solution Approach 1:
The original scanning unit serves multiple functions: it not only captures the basic image data for stencil creation but also detects area frames and provides the foundation for color-based separation when needed. The controller performs multiple processing tasks including area frame detection, color separation, and stencil generation using the same hardware, making the system multi-functional without adding expensive specialized components.
Solution Approach 2:
The system achieves color separation capability by changing the processing parameters of the existing scanning system rather than adding new hardware. The controller adjusts density range parameters and color threshold settings to differentiate between black letters and colored letters, transforming the single scanning unit into a multi-purpose tool through software parameter adjustments.
4Adaptability or versatility
If conventional stencil printing machines require users to specify each color for separation, then color separation is achieved, but the operation becomes complicated
Solution Approach 1:
The machine automatically performs color separation by detecting color densities and ranges in the original image without requiring users to manually specify each color. The controller autonomously analyzes the image data, identifies different color components, and generates separate stencil data for each color, making the system self-sufficient in handling color separation tasks.
Solution Approach 2:
The system uses feedback from the scanned image data to automatically adjust separation parameters. By analyzing the density and color information returned from the original scanning unit, the controller dynamically determines appropriate separation thresholds and generates color-specific stencils, creating a closed-loop system that adapts to the actual image content rather than requiring pre-programmed color specifications.
Data Source
AI summary
A controller reads out image data of an area frame that a user has drawn on an original and accurately extracts the area frame by removing noise from the read-out image data to divide image data of an area outside the area frame and image data of an area inside the area frame into separate stencils, according to a separation program. It is therefore possible to execute a separation process desired by the user without increasing costs and man-hours and with easy operations not making the user feel troublesome.