SDX900
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FAQ et Diagnostic |
How do I Create the Cutting Data (Scan to Cut Data) ?
A printed pattern or image or an original hand-drawn illustration can be scanned, converted to cutting lines for cutting/drawing with this machine, then saved as data.
----- Procedure -----
This FAQ explains the procedure for converting illustrations drawn on paper into cut data and saving them.
----- Preparing the material -----
When using the “Scan to Cut Data” mode, use originals like those described below.
----- 1. Scanning -----
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(1) Grayscale recognition mode
For details, refer to the Recognition Mode / Scanning area. |
----- 2. Creating Cutting Data -----
The procedure for creating cutting data differs depending on the mode (Grayscale recognition mode / Color recognition mode).
For details on the each setting in the image editing screen, refer to the Each setting in the image editing screen.
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(1) Each setting in the image editing screen |
Grayscale recognition mode
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(1) Outline detection (2) Region detection
(3) Line detection
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Lines thicker than 1.5 mm will not be detected as lines.
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(1) Image Detection Level (2) Ignore Object Size
(3) Smoothing Setting
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Save data after cutting data is completed.
Color recognition mode
Trimming the image to the desired size can reduce the amount of time required to convert it to cutting data.
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(1) Outline detection (3) Image Detection Level (4) Ignore Object Size (5) Smoothing Setting
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----- 3. Saving Data -----
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(1) Machine |
----- 4. Recalling Cutting Data -----
Saved cutting data can be recalled for cutting.
>> A preview of the pattern layout appears.
Touch the desired destination, and then select the desired pattern.
(1) Grayscale recognition mode
The cutting data is created after the illustration is converted to grayscale. Scanning in grayscale recognition mode is most appropriate for illustrations with clear outlines or distinct brightness differences.
Processing is faster with this mode compared with the color recognition mode.
If there are adjacent objects of the same color after an illustration has been converted to grayscale, select the color recognition mode.
(2) Color recognition mode
The cutting data is created without converting the illustration to grayscale. Creating data in this mode may take some time.
* The default color recognition setting is the grayscale recognition mode.
Examples of illustrations appropriate for recognition mode:
Examples | Recommended recognition mode | |
Outlines that are clear | ![]() |
Grayscale recognition mode |
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- Distinct difference in brightness between |
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Similar brightness of adjacent colors | ![]() |
Color recognition mode |
The edges of adjacent colors with the same brightness, as shown below, cannot be detected. In this case, use the color recognition mode.
(1) “a” and “b” as well as “c” and “d” have the same brightness.
(3) Scanning area
The scanning size settings screen appears. The size of the scanning area can be selected. The available scanning area sizes differ depending on the model.
Depending on the machine model, the sizes of mats that can be used will differ. Check the [Maximum Scanning Area] under [Machine Information] in the settings screen.
<Edit key>
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Outline detection
If you wish to cut/draw along the outline of an image, select this option to convert the outline of the image to a cutting line. This is useful for saving as data an illustration drawn for an appliqué. |
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Region detection Select this option to detect the colored portions of an image as regions and create a cutting line around each region. Cutouts can be created using thick hand-drawn lines, such as borderlines of images or text illustrations. This option allows you to use not only cut-out patterns but the material from which portions are cut out, such as lace. |
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Line detection (Grayscale recognition mode only) Select this option to detect the center of lines and convert them to a cutting line. This is useful for detecting patterns consisting of multiple pieces and creating cutting lines for each piece. |
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Image Detection Level If the cutting lines were not correctly detected, change the number of colors to be detected. If a color that appears as a single color is detected as separate colors, reduce the number of colors. If adjacent colors with a similar brightness are detected as a single color, increase the number of colors. |
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Ignore Object Size Small unnecessary patterns (dotted lines, etc.) can be excluded from cutting data. |
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Smoothing Setting Specify the level of smoothing applied to the image outline. |
<Difference in cutting lines depending on detection standard : Grayscale recognition mode>
Example 1
Outline detection | Region detection | Line detection | |
Original |
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Cutting lines |
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Finished project after cutting |
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Example 2
Outline detection | Region detection | Line detection | |
Original |
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Cutting lines |
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Does not apply since there are no outlines for each color in the original. |
Finished project after cutting |
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<Difference in cutting lines depending on detection standard : Color recognition mode>
Outline detection | Region detection | |
Original | ![]() |
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Cutting lines | ![]() |
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Finished project after cutting |
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Small spots and unwanted lines created during scanning can be deleted after a scanned image is converted to cutting data.
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(1) unwanted spots and lines |
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